Generalized Well-founded Semantics for Logic Programs (Extended Abstract). - Chitta Baral; Jorge Lobo 001; Jack Minker (CADE, 1990)

Combining Knowledge Bases Consisting of First Order Theories. - Chitta Baral; Sarit Kraus; Jack Minker; V. S. Subrahmanian (ISMIS, 1991)

WF³: A Semantics for Negation in Normal Disjunctive Logic Programs. - Chitta Baral; Jorge Lobo 001; Jack Minker (ISMIS, 1991)

Dualities between Alternative Semantics for Logic Programming and Nonmonotonic Reasoning (Extended Abstract). - Chitta Baral; V. S. Subrahmanian (LPNMR, 1991)

Combining Multiple Knowledge Bases. - Chitta Baral; Sarit Kraus; Jack Minker (IEEE Trans. Knowl. Data Eng., 1991)

Generalized Negation As Failure and Semantics of Normal Disjunctive Logic Programs. - Chitta Baral (LPAR, 1992)

Generalized Disjunctive Well-Founded Semantics for Logic Programs. - Chitta Baral; Jorge Lobo 001; Jack Minker (Ann. Math. Artif. Intell., 1992)

Combining Knowledge Bases Consisting of First-Order Analysis. - Chitta Baral; Sarit Kraus; Jack Minker; V. S. Subrahmanian (Comput. Intell., 1992)

Stable and Extension Class Theory for Logic Programs and Default Logics. - Chitta Baral; V. S. Subrahmanian (J. Autom. Reason., 1992)

Representing Concurrent Actions in Extended Logic Programming. - Chitta Baral; Michael Gelfond (IJCAI, 1993)

Approximating General Logic Programs. - Chitta Baral; Michael Gelfond; Olga Kosheleva (ILPS, 1993)

Maintaining the Truth of Specifications in Evolutionary Software. - C. V. Ramamoorthy; Daniel E. Cooke; Chitta Baral (Int. J. Artif. Intell. Tools, 1993)

Dualities Between Alternative Semantics for Logic Programming and Nonmonotonic Reasoning. - Chitta Baral; V. S. Subrahmanian (J. Autom. Reason., 1993)

Rule Based Updates on Simple Knowledge Bases. - Chitta Baral (AAAI, 1994)

Varying Selection Functions to Relate Conditional Logics and Preferential Models. - Chitta Baral (Fundam. Informaticae, 1994)

Combining Default Logic Databases. - Chitta Baral; Sarit Kraus; Jack Minker; V. S. Subrahmanian (Int. J. Cooperative Inf. Syst., 1994)

Logic Programming and Knowledge Representation. - Chitta Baral; Michael Gelfond (J. Log. Program., 1994)

Reasoning about actions: Non-deterministic effects, Constraints, and Qualification. - Chitta Baral (IJCAI, 1995)

A Reactive Mobile Robot Based on a Formal Theory of Action. - Chitta Baral; Luis Floriano; Alfredo Gabaldon; David Morales; Tran Cao Son; Richard G. Watson (AAAI/IAAI, Vol. 2, 1996)

Formal Characterization of Active Databases. - Chitta Baral; Jorge Lobo 001 (Logic in Databases, 1996)

From Action Theories to Updates, Transactions, Triggers and Agents - A Tutorial. - Chitta Baral; Jorge Lobo 001 (DOOD, 1997)

Formal Characterizations of Active Databases: Part II. - Chitta Baral; Jorge Lobo 001; Goce Trajcevski (DOOD, 1997)

Defeasible Specifications in Action Theories. - Chitta Baral; Jorge Lobo 001 (IJCAI, 1997)

Approximate Reasoning about Actions in Presence of Sensing and Incomplete Information. - Chitta Baral; Tran Cao Son (ILPS, 1997)

Relating Logic Programming Theories of Actions and Partial Order Planning. - Chitta Baral (Ann. Math. Artif. Intell., 1997)

Introduction: Logic Programming, Non-Monotonic Reasoning and Reasoning about Actions. - Chitta Baral; Vladik Kreinovich; Vladimir Lifschitz (Ann. Math. Artif. Intell., 1997)

Embedding Revision Programs in Logic Programming Situation Calculus. - Chitta Baral (J. Log. Program., 1997)

Reasoning About Effects of Concurrent Actions. - Chitta Baral; Michael Gelfond (J. Log. Program., 1997)

Representing Actions: Laws, Observations and Hypotheses. - Chitta Baral; Michael Gelfond; Alessandro Provetti (J. Log. Program., 1997)

From Theory to Practice: The UTEP Robot in the AAAI 96 AAAI 97 Robot Contests. - Chitta Baral; Luis Floriano; Aaron Hardesty; David Morales; Monica L. Nogueira; Tran Cao Son (Agents, 1998)

Design and Implementation of Display Specification for Multimedia Answers. - Chitta Baral; Graciela Gonzalez 001; Tran Cao Son (ICDE, 1998)

SQL+D: Extended Display Capabilities for Multimedia Database Queries. - Chitta Baral; Graciela Gonzalez 001; Amarendra Nandigam (ACM Multimedia, 1998)

Value Minimization in Circumscription. - Chitta Baral; Alfredo Gabaldon; Alessandro Provetti (Artif. Intell., 1998)

Formalizing Narratives Using Nested Circumscription. - Chitta Baral; Alfredo Gabaldon; Alessandro Provetti (Artif. Intell., 1998)

Relating Theories of Actions and Reactive Control. - Chitta Baral; Tran Cao Son (Electron. Trans. Artif. Intell., 1998)

Expanding Queries to Incomplete Databases by Interpolating General Logic Programs. - Chitta Baral; Michael Gelfond; Olga Kosheleva (J. Log. Program., 1998)

Robots, softbots, immobots: The 1997 AAAI Workshop on Theories of Action, Planning and Control. - Robert P. Goldman; Chitta Baral (Knowl. Eng. Rev., 1998)

Conceptual Modeling and Querying in Multimedia Databases. - Chitta Baral; Graciela Gonzalez 001; Tran Cao Son (Multim. Tools Appl., 1998)

Extending ConGolog to Allow Partial Ordering. - Chitta Baral; Tran Cao Son (ATAL, 1999)

Specifying Generic Multimedia 3D Visualizations and Temporal Presentations from Database Queries. - Chitta Baral; Graciela Gonzalez 001 (ICMCS, Vol. 1, 1999)

Maintainability: A Weaker Stabilizability Like Notion for High Level Control. - Mutsumi Nakamura; Chitta Baral; Marcus Bjäreland (AAAI/IAAI, 2000)

Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods. - Raul Trejo; Vladik Kreinovich; Chitta Baral (AAAI/IAAI, 2000)

Computational Complexity of Planning Based on Partial Information about the System's Present and Past States. - Chitta Baral; Le-Chi Tuan; Raul Trejo; Vladik Kreinovich (Computational Logic, 2000)

Invariance, Maintenance, and Other Declarative Objectives of Triggers - A Formal Characterization of Active Databases. - Mutsumi Nakamura; Chitta Baral (Computational Logic, 2000)

Formalizing (and Reasoning About) the Specifications of Workflows. - Goce Trajcevski; Chitta Baral; Jorge Lobo 001 (CoopIS, 2000)

Formulating diagnostic problem solving using an action language with narratives and sensing. - Chitta Baral; Sheila A. McIlraith; Tran Cao Son (KR, 2000)

Abductive reasoning through filtering. - Chitta Baral (Artif. Intell., 2000)

Computational complexity of planning and approximate planning in the presence of incompleteness. - Chitta Baral; Vladik Kreinovich; Raul Trejo (Artif. Intell., 2000)

Proceedings of the 8th International Workshop on Non-Monotonic Reasoning, NMR'2000 - Chitta Baral; Miroslaw Truszczynski (CoRR, 2000)

Extending Answer Set Planning with Sequence, Conditional, Loop, Non-Deterministic Choice, and Procedure Constructs. - Tran Cao Son; Chitta Baral; Sheila A. McIlraith (Answer Set Programming, 2001)

Effect of knowledge representation on model based planning: experiments using logic programming encodings. - Le-Chi Tuan; Chitta Baral (Answer Set Programming, 2001)

Computational Complexity of Planning with Temporal Goals. - Chitta Baral; Vladik Kreinovich; Raul Trejo (IJCAI, 2001)

On the Semantics of Knowledge Update. - Chitta Baral; Yan Zhang (IJCAI, 2001)

Declarative Specification and Solution of Combinatorial Auctions Using Logic Programming. - Chitta Baral; Cenk Uyan (LPNMR, 2001)

Planning with Different Forms of Domain-Dependent Control Knowledge - An Answer Set Programming Approach. - Tran Cao Son; Chitta Baral; Sheila A. McIlraith (LPNMR, 2001)

Formalizing sensing actions A transition function based approach. - Tran Cao Son; Chitta Baral (Artif. Intell., 2001)

Formalizing and Reasoning About the Requirements Specifications of Workflow Systems. - Goce Trajcevski; Chitta Baral; Jorge Lobo 001 (Int. J. Cooperative Inf. Syst., 2001)

From Planning to Searching for the Shortest Plan: An Optimal Transition. - Raul Trejo; Joel Galloway; Charanjiv Sachar; Vladik Kreinovich; Chitta Baral; Le-Chi Tuan (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001)

Reasoning about Actions in a Probabilistic Setting. - Chitta Baral; Tran Hoai Nam; Le-Chi Tuan (AAAI/IAAI, 2002)

A Transition Function Based Characterization of Actions with Delayed and Continuous Effects. - Chitta Baral; Tran Cao Son; Le-Chi Tuan (KR, 2002)

The Complexity of Model Checking for Knowledge Update. - Chitta Baral; Yan Zhang (KR, 2002)

Modeling Multimedia Displays Using Action Based Temporal Logic. - Graciela Gonzalez 001; Chitta Baral; Peter A. Cooper (VDB, 2002)

AAAI 2002 Workshops. - M. Brian Blake; Karen Zita Haigh; Henry Hexmoor; Rino Falcone; Leen-Kiat Soh; Chitta Baral; Sheila A. McIlraith; Piotr J. Gmytrasiewicz; Simon Parsons; Rainer Malaka; Antonio Krüger; Paolo Bouquet; et al. (AI Mag., 2002)

Representing and reasoning about signal networks: an illustration using NF kappaB dependent signaling pathways. - Chitta Baral; Karen Chancellor; Tran Hoai Nam; Nhan Tran (CSB, 2003)

Introduction to the special issue on Programming with Answer Sets. - Chitta Baral; Alessandro Provetti; Tran Cao Son (Theory Pract. Log. Program., 2003)

Adding Time and Intervals to Procedural and Hierarchical Control Specifications. - Tran Cao Son; Chitta Baral; Le-Chi Tuan (AAAI, 2004)

Encoding Probabilistic Causal Model in Probabilistic Action Language. - Tran Hoai Nam; Chitta Baral (AAAI, 2004)

Regression with Respect to Sensing Actions and Partial States. - Le-Chi Tuan; Chitta Baral; Xin Zhang 005; Tran Cao Son (AAAI, 2004)

Goal Specification in Presence of Non-Deterministic Actions. - Chitta Baral; Jicheng Zhao (ECAI, 2004)

A knowledge based approach for representing and reasoning about signaling networks. - Chitta Baral; Karen Chancellor; Tran Hoai Nam; Nhan Tran; Anna M. Joy; Michael E. Berens (ISMB/ECCB (Supplement of Bioinformatics), 2004)

A Polynomial-Time Algorithm for Constructing k-Maintainable Policies. - Chitta Baral; Thomas Eiter (KR, 2004)

Reasoning about Triggered Actions in AnsProlog and Its Application to Molecular Interactions in Cells. - Tran Hoai Nam; Chitta Baral (KR, 2004)

Planning with Sensing Actions and Incomplete Information Using Logic Programming. - Tran Cao Son; Phan Huy Tu; Chitta Baral (LPNMR, 2004)

Regression with respect to sensing actions and partial states - Le-Chi Tuan; Chitta Baral; Tran Cao Son (CoRR, 2004)

Using SAT and Logic Programming to Design Polynomial-Time Algorithms for Planning in Non-Deterministic Domains. - Chitta Baral; Thomas Eiter; Jicheng Zhao (AAAI, 2005)

Reasoning about Intended Actions. - Chitta Baral; Michael Gelfond (AAAI, 2005)

Issues in Reasoning about Interaction Networks in Cells: Necessity of Event Ordering Knowledge. - Tran Hoai Nam; Chitta Baral; Carron Shankland (AAAI, 2005)

Answer Set Programming as the Basis for a Homeland Security QAS. - Chitta Baral; Michael Gelfond; Richard B. Scherl (AAAI Spring Symposium: AI Technologies for Homeland Security, 2005)

An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset. - Xin Zhang 005; Chitta Baral; Seungchan Kim (AIME, 2005)

A Language for Modular Answer Set Programming: Application to ACC Tournament Scheduling. - Luis Tari; Chitta Baral; Saadat Anwar (Answer Set Programming, 2005)

Collaborative Curation of Data from Bio-medical Texts and Abstracts and Its integration. - Chitta Baral; Hasan Davulcu; Mutsumi Nakamura; Prabhdeep Singh; Luis Tari; Lian Yu (DILS, 2005)

BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers. - Prabhdeep Singh; R. Bhimavarapu; Hasan Davulcu; Chitta Baral; Seungchan Kim; Huan Liu 001; Michael L. Bittner; I. V. Ramakrishnan (DILS, 2005)

Knowledge-Based Integrative Framework for Hypothesis Formation in Biochemical Networks. - Tran Hoai Nam; Chitta Baral; Vinay J. Nagaraj; Lokesh Joshi (DILS, 2005)

Knowledge-based framework for hypothesis formation in biochemical networks. - Tran Hoai Nam; Chitta Baral; Vinay J. Nagaraj; Lokesh Joshi (ECCB/JBI, 2005)

IntEx: A Syntactic Role Driven Protein-Protein Interaction Extractor for Bio-Medical Text. - Syed Toufeeq Ahmed; Deepthi Chidambaram; Hasan Davulcu; Chitta Baral (LBLODMBS@IDMB, 2005)

Understanding the Global Properties of Functionally-Related Gene Networks Using the Gene Ontology. - Luis Tari; Chitta Baral; P. Dasgupta (Pacific Symposium on Biocomputing, 2005)

Genomic Information Retrieval Through Selective Extraction and Tagging by the ASU-BioAL Group. - Lian Yu; Syed Toufeeq Ahmed; Graciela Gonzalez 001; Brendan Logsdon; Mutsumi Nakamura; Shawn Nikkila; Kalpesh Shah; Luis Tari; Ryan Wendt; Amanda Zeigler; Chitta Baral (TREC, 2005)

Knowledge updates: Semantics and complexity issues. - Chitta Baral; Yan Zhang 003 (Artif. Intell., 2005)

Representation and Reasoning about Evolutions of the World in the Context of Reasoning about Actions. - Chitta Baral; Tran Hoai Nam (Stud Logica, 2005)

Alan: An Action Language For Modelling Non-Markovian Domains. - Graciela Gonzalez 001; Chitta Baral; Michael Gelfond (Stud Logica, 2005)

Logic Programming and Reasoning about Actions. - Chitta Baral; Michael Gelfond (Handbook of Temporal Reasoning in Artificial Intelligence, 2005)

Goal Specification, Non-Determinism and Quantifying over Policies. - Chitta Baral; Jicheng Zhao (AAAI, 2006)

Organizing Committee. - Chitta Baral (AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering, 2006)

Macros, Macro Calls and Use of Ensembles in Modular Answer Set Programming. - Chitta Baral; Saadat Anwar; Juraj Dzifcak (AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering, 2006)

Using AnsProlog with Link Grammar and WordNet for QA with deep reasoning. - Chitta Baral; Luis Tari (ICIT, 2006)

Macros, Macro Calls and Use of Ensembles in Modular Answer Set Programming. - Chitta Baral; Juraj Dzifcak; Hiro Takahashi (ICLP, 2006)

A Framework for Composition and Inter-operation of Rules in the Semantic Web. - Enrico Pontelli; Tran Cao Son; Chitta Baral (RuleML, 2006)

ASU at TREC 2006 Genomics Track. - Luis Tari; Graciela Gonzalez 001; Robert Leaman; Shawn Nikkila; Ryan Wendt; Chitta Baral (TREC, 2006)

AAAI 2006 Spring Symposium Reports. - Andreas Abecker; Rachid Alami 001; Chitta Baral; Timothy W. Bickmore; Edmund H. Durfee; Terry Fong; Mehmet H. Göker; Nancy L. Green; Mark Y. Liberman; Christian Lebiere; James H. Martin; Gregoris Mentzas; et al. (AI Mag., 2006)

A State-Based Regression Formulation for Domains with Sensing Actions and Incomplete Information. - Le-Chi Tuan; Chitta Baral; Tran Cao Son (Log. Methods Comput. Sci., 2006)

Domain-dependent knowledge in answer set planning. - Tran Cao Son; Chitta Baral; Tran Hoai Nam; Sheila A. McIlraith (ACM Trans. Comput. Log., 2006)

Joint learning of logic relationships for studying protein function using phylogenetic profiles and the rosetta stone method. - Xin Zhang 005; Seungchan Kim; Tie Wang; Chitta Baral (IEEE Trans. Signal Process., 2006)

Towards Overcoming the Knowledge Acquisition Bottleneck in Answer Set Prolog Applications: Embracing Natural Language Inputs. - Chitta Baral; Juraj Dzifcak; Luis Tari (ICLP, 2007)

Using the Probabilistic Logic Programming Language P-log for Causal and Counterfactual Reasoning and Non-Naive Conditioning. - Chitta Baral; Matt Hunsaker (IJCAI, 2007)

Non-monotonic Temporal Logics for Goal Specification. - Chitta Baral; Jicheng Zhao (IJCAI, 2007)

Mining Gene-Disease Relationships from Biomedical Literature: Weighting Proteinprotein Interactions and Connectivity. - Graciela Gonzalez 001; Juan C. Uribe; Luis Tari; Colleen Brophy; Chitta Baral (Pacific Symposium on Biocomputing, 2007)

Passage Relevancy Through Semantic Relatedness. - Luis Tari; Phan Huy Tu; Barry Lumpkin; Robert Leaman; Graciela Gonzalez 001; Chitta Baral (TREC, 2007)

Reasoning about non-immediate triggers in biological networks. - Tran Hoai Nam; Chitta Baral (Ann. Math. Artif. Intell., 2007)

Reasoning and planning with sensing actions, incomplete information, and static causal laws using answer set programming. - Phan Huy Tu; Tran Cao Son; Chitta Baral (Theory Pract. Log. Program., 2007)

Using Answer Set Programming and Lambda Calculus to Characterize Natural Language Sentences with Normatives and Exceptions. - Chitta Baral; Juraj Dzifcak; Tran Cao Son (AAAI, 2008)

Non-monotonic Temporal Logics that Facilitate Elaboration Tolerant Revision of Goals. - Chitta Baral; Jicheng Zhao (AAAI, 2008)

Organizing Committee. - Marcello Balduccini; Chitta Baral (AAAI Spring Symposium: Emotion, Personality, and Social Behavior, 2008)

Extracting Protein-Protein Interactions from MEDLINE Using Syntactic Roles. - Syed Toufeeq Ahmed; Hasan Davulcu; Chitta Baral (BIBM, 2008)

Using Answer Set Programming for Knowledge Representation and Reasoning: Future Directions. - Chitta Baral (ICLP, 2008)

Maintenance goals of agents in a dynamic environment: Formulation and policy construction. - Chitta Baral; Thomas Eiter; Marcus Bjäreland; Mutsumi Nakamura (Artif. Intell., 2008)

AAAI 2008 Spring Symposia Reports. - Marcello Balduccini; Chitta Baral; Boyan Brodaric; Simon Colton; Peter Fox 001; David Gutelius; Knut Hinkelmann; Ian Horswill; Bernardo A. Huberman; Eva Hudlicka; Kristina Lerman; Christine L. Lisetti; et al. (AI Mag., 2008)

Knowledge Representation and Question Answering. - Marcello Balduccini; Chitta Baral; Yuliya Lierler (Handbook of Knowledge Representation, 2008)

Reasoning about Multi-agent Domains Using Action Language C mathcal{C}: A Preliminary Study. - Chitta Baral; Tran Cao Son; Enrico Pontelli (CLIMA, 2009)

What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal management and action execution. - Juraj Dzifcak; Matthias Scheutz; Chitta Baral; Paul W. Schermerhorn (ICRA, 2009)

Modeling Multi-agent Domains in an Action Languages: An Empirical Study Using . - Chitta Baral; Tran Cao Son; Enrico Pontelli (LPNMR, 2009)

Towards Effective Sentence Simplification for Automatic Processing of Biomedical Text. - Siddhartha Jonnalagadda; Luis Tari; Jörg Hakenberg; Chitta Baral; Graciela Gonzalez 001 (HLT-NAACL (Short Papers), 2009)

Querying Parse Tree Database of Medline Text to Synthesize User-Specific Biomolecular Networks. - Luis Tari; Jörg Hakenberg; Graciela Gonzalez 001; Chitta Baral (Pacific Symposium on Biocomputing, 2009)

State-Based Regression with Sensing and Knowledge. - Richard B. Scherl; Tran Cao Son; Chitta Baral (Int. J. Softw. Informatics, 2009)

Hypothesizing about signaling networks. - Tran Hoai Nam; Chitta Baral (J. Appl. Log., 2009)

Fuzzy c-means clustering with prior biological knowledge. - Luis Tari; Chitta Baral; Seungchan Kim (J. Biomed. Informatics, 2009)

Probabilistic reasoning with answer sets. - Chitta Baral; Michael Gelfond; J. Nelson Rushton (Theory Pract. Log. Program., 2009)

Knowledge Representation, Reasoning and Declarative Problem Solving. - Chitta Baral (Cambridge University Press, 2010)

Using answer set programming to model multi-agent scenarios involving agents' knowledge about other's knowledge. - Chitta Baral; Gregory Gelfond; Tran Cao Son; Enrico Pontelli (AAMAS, 2010)

GenerIE: Information extraction using database queries. - Luis Tari; Phan Huy Tu; Jörg Hakenberg; Yi Chen 001; Tran Cao Son; Graciela Gonzalez 001; Chitta Baral (ICDE, 2010)

Reasoning about Actions and Change: From Single Agent Actions to Multi-Agent Actions (Extended Abstract). - Chitta Baral (KR, 2010)

Invited Presentations at the Twelfth International Conference on Principles of Knowledge Representation and Reasoning. - Chitta Baral; Ian Horrocks 001; Yoav Shoham (KR, 2010)

Extraction of Genotype-Phenotype-Drug Relationships from Text: From Entity Recognition to Bioinformatics Application. - Adrien Coulet; Nigam H. Shah; Lawrence Hunter; Chitta Baral; Russ B. Altman (Pacific Symposium on Biocomputing, 2010)

Synthesis of Pharmacokinetic Pathways through Knowledge Acquisition and Automated Reasoning. - Luis Tari; Saadat Anwar; Shanshan Liang; Jörg Hakenberg; Chitta Baral (Pacific Symposium on Biocomputing, 2010)

Discovering drug-drug interactions: a text-mining and reasoning approach based on properties of drug metabolism. - Luis Tari; Saadat Anwar; Shanshan Liang; James Cai; Chitta Baral (Bioinform., 2010)

Efficient Extraction of Protein-Protein Interactions from Full-Text Articles. - Jörg Hakenberg; Robert Leaman; Nguyen Ha Vo; Siddhartha Jonnalagadda; Ryan Sullivan; Christopher Miller; Luis Tari; Chitta Baral; Graciela Gonzalez 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2010)

Logic programming for finding models in the logics of knowledge and its applications: A case study. - Chitta Baral; Gregory Gelfond; Enrico Pontelli; Tran Cao Son (Theory Pract. Log. Program., 2010)

On Representing Actions in Multi-agent Domains. - Chitta Baral; Gregory Gelfond (Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning, 2011)

Using Inverse lambda and Generalization to Translate English to Formal Languages. - Chitta Baral; Juraj Dzifcak; Marcos Alvarez Gonzalez; Jiayu Zhou (IWCS, 2011)

Lessons from Efforts to Automatically Translate English to Knowledge Representation Languages. - Chitta Baral (LPNMR, 2011)

Logic Programming and Uncertainty. - Chitta Baral (SUM, 2011)

Molecular Event Extraction from Link Grammar Parse Trees in the BioNLP'09 Shared Task. - Jörg Hakenberg; Illés Solt; Domonkos Tikk; Nguyen Ha Vo; Luis Tari; Quang Long Nguyen; Chitta Baral; Ulf Leser (Comput. Intell., 2011)

Language understanding as a step towards human level intelligence - automatizing the construction of the initial dictionary from example sentences. - Chitta Baral; Juraj Dzifcak (CoRR, 2011)

The Inverse Lambda Calculus Algorithm for Typed First Order Logic Lambda Calculus and Its Application to Translating English to FOL. - Chitta Baral; Marcos Alvarez Gonzalez; Aaron Gottesman (Correct Reasoning, 2012)

Answer Set Programming and Planning with Knowledge and World-Altering Actions in Multiple Agent Domains. - Enrico Pontelli; Tran Cao Son; Chitta Baral; Gregory Gelfond (Correct Reasoning, 2012)

Answering Why and How questions with respect to a frame-based knowledge base: a preliminary report. - Chitta Baral; Nguyen Ha Vo; Shanshan Liang (ICLP (Technical Communications), 2012)

Solving Puzzles Described in English by Automated Translation to Answer Set Programming and Learning How to Do that Translation. - Chitta Baral; Juraj Dzifcak (KR, 2012)

From Knowledge Represented in Frame-Based Languages to Declarative Representation and Reasoning via ASP. - Chitta Baral; Shanshan Liang (KR, 2012)

Typed Answer Set Programming and Inverse Lambda Algorithms - Chitta Baral; Juraj Dzifcak; Marcos Alvarez Gonzalez; Aaron Gottesman (CoRR, 2012)

A SNPshot of PubMed to associate genetic variants with drugs, diseases, and adverse reactions. - Jörg Hakenberg; Dmitry Voronov; Nguyen Ha Vo; Shanshan Liang; Saadat Anwar; Barry Lumpkin; Robert Leaman; Luis Tari; Chitta Baral (J. Biomed. Informatics, 2012)

Incremental Information Extraction Using Relational Databases. - Luis Tari; Phan Huy Tu; Jörg Hakenberg; Yi Chen 001; Tran Cao Son; Graciela Gonzalez 001; Chitta Baral (IEEE Trans. Knowl. Data Eng., 2012)

Typed answer set programming lambda calculus theories and correctness of inverse lambda algorithms with respect to them. - Chitta Baral; Juraj Dzifcak; Marcos Alvarez Gonzalez; Aaron Gottesman (Theory Pract. Log. Program., 2012)

Reasoning about the Beliefs of Agents in Multi-agent Domains in the Presence of State Constraints: The Action Language mAL. - Chitta Baral; Gregory Gelfond; Enrico Pontelli; Tran Cao Son (CLIMA, 2013)

Encoding Higher Level Extensions of Petri Nets in Answer Set Programming. - Saadat Anwar; Chitta Baral; Katsumi Inoue (LPNMR, 2013)

The NL2KR System. - Chitta Baral; Juraj Dzifcak; Kanchan Kumbhare; Nguyen Ha Vo (NLPAR@LPNMR, 2013)

Event-Object Reasoning with Curated Knowledge Bases: Deriving Missing Information. - Chitta Baral; Nguyen Ha Vo (LPNMR, 2013)

Encoding Petri Nets in Answer Set Programming for Simulation Based Reasoning. - Saadat Anwar; Chitta Baral; Katsumi Inoue (Theory Pract. Log. Program., 2013)

Pathway Specification and Comparative Queries: A High Level Language with Petri Net Semantics. - Saadat Anwar; Chitta Baral (AAAI, 2014)

Finitary S5-Theories. - Tran Cao Son; Enrico Pontelli; Chitta Baral; Gregory Gelfond (JELIA, 2014)

Translating Simple Legal Text to Formal Representations. - Shruti Gaur; Nguyen Ha Vo; Kazuaki Kashihara; Chitta Baral (JSAI-isAI Workshops, 2014)

Knowledge Representation and Reasoning: What's Hot. - Chitta Baral; Giuseppe De Giacomo (AAAI, 2015)

Exploring the KD45 Property of a Kripke Model After the Execution of an Action Sequence. - Tran Cao Son; Enrico Pontelli; Chitta Baral; Gregory Gelfond (AAAI, 2015)

Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning. - Somak Aditya; Yezhou Yang; Chitta Baral; Cornelia Fermüller; Yiannis Aloimonos (AAAI Spring Symposia, 2015)

Multi-Agent Action Modeling Through Action Sequences And Perspective Fluents. - Chitta Baral; Gregory Gelfond; Enrico Pontelli; Tran Cao Son (AAAI Spring Symposia, 2015)

An Approach to Solve Winograd Schema Challenge Using Automatically Extracted Commonsense Knowledge. - Arpit Sharma 001; Nguyen Ha Vo; Shruti Gaur; Chitta Baral (AAAI Spring Symposia, 2015)

The NL2KR Platform for building Natural Language Translation Systems. - Nguyen Ha Vo; Arindam Mitra; Chitta Baral (ACL (1), 2015)

Identifying Various Kinds of Event Mentions in K-Parser Output. - Arpit Sharma 001; Nguyen Ha Vo; Somak Aditya; Chitta Baral (EVENTS@HLP-NAACL, 2015)

A Non-monotonic Goal Specification Language for Planning with Preferences. - Tran Cao Son; Enrico Pontelli; Chitta Baral (Advances in Knowledge Representation, Logic Programming, and Abstract Argumentation, 2015)

Learning to Automatically Solve Logic Grid Puzzles. - Arindam Mitra; Chitta Baral (EMNLP, 2015)

Towards Addressing the Winograd Schema Challenge - Building and Using a Semantic Parser and a Knowledge Hunting Module. - Arpit Sharma 001; Nguyen Ha Vo; Somak Aditya; Chitta Baral (IJCAI, 2015)

"Add Another Blue Stack of the Same Height!": ASP Based Planning and Plan Failure Analysis. - Chitta Baral; Tran Cao Son (LPNMR, 2015)

Recognizing Social Constructs from Textual Conversation. - Somak Aditya; Chitta Baral; Nguyen Ha Vo; Joohyung Lee; Jieping Ye; Zaw Naung; Barry Lumpkin; Jenny Hastings; Richard B. Scherl; Dawn M. Sweet; Daniela Inclezan (HLT-NAACL, 2015)

Session Introduction. - Graciela Gonzalez 001; Chitta Baral; Jeff Kiefer; Suengchan Kim; Jieping Ye (Pacific Symposium on Biocomputing, 2015)

From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge. - Somak Aditya; Yezhou Yang; Chitta Baral; Cornelia Fermüller; Yiannis Aloimonos (CoRR, 2015)

An Action Language for Multi-Agent Domains: Foundations. - Chitta Baral; Gregory Gelfond; Enrico Pontelli; Tran Cao Son (CoRR, 2015)

Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning. - Arindam Mitra; Chitta Baral (AAAI, 2016)

Automatic Extraction of Events-Based Conditional Commonsense Knowledge. - Arpit Sharma 001; Chitta Baral (AAAI Workshop: Knowledge Extraction from Text, 2016)

Learning To Use Formulas To Solve Simple Arithmetic Problems. - Arindam Mitra; Chitta Baral (ACL (1), 2016)

Plan Failure Analysis: Formalization and Application in Interactive Planning Through Natural Language Communication. - Chitta Baral; Tran Cao Son; Michael Gelfond; Arindam Mitra (PRIMA, 2016)

Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic. - Somak Aditya; Yezhou Yang; Chitta Baral; Yiannis Aloimonos (CoRR, 2016)

On Selecting a Conjunction Operation in Probabilistic Soft Logic. - Vladik Kreinovich; Chitta Baral (CoRR, 2016)

Reactive Maintenance Policies over Equalized States in Dynamic Environments. - Zeynep G. Saribatur; Chitta Baral; Thomas Eiter (EPIA, 2017)

Revision and Updates in Possibly Action-Occurrence-Incomplete Narratives. - Chitta Baral; Tran Cao Son (PRIMA, 2017)

Epistemic Planning (Dagstuhl Seminar 17231). - Chitta Baral; Thomas Bolander; Hans van Ditmarsch; Sheila A. McIlraith (Dagstuhl Reports, 2017)

Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. - Somak Aditya; Yezhou Yang; Chitta Baral (AAAI, 2018)

Knowledge Representation and Reasoning in Answering Science Questions: A Case Study for Food Web Questions. - Arindam Mitra; Chitta Baral; Peter Clark (KR, 2018)

Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving. - Somak Aditya; Yezhou Yang; Chitta Baral; Yiannis Aloimonos (UAI, 2018)

Ask not what your postdoc can do for you ... - Chitta Baral; Shih-Fu Chang; Brian Curless; Partha Dasgupta; Julia Hirschberg; Anita Jones (Commun. ACM, 2018)

Image Understanding using vision and reasoning through Scene Description Graph. - Somak Aditya; Yezhou Yang; Chitta Baral; Yiannis Aloimonos; Cornelia Fermüller (Comput. Vis. Image Underst., 2018)

Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples. - Arindam Mitra; Chitta Baral (Theory Pract. Log. Program., 2018)

Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming. - Arindam Mitra; Peter Clark; Oyvind Tafjord; Chitta Baral (AAAI, 2019)

Careful Selection of Knowledge to Solve Open Book Question Answering. - Pratyay Banerjee; Kuntal Kumar Pal; Arindam Mitra; Chitta Baral (ACL (1), 2019)

Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge. - Ashok Prakash; Arpit Sharma 001; Arindam Mitra; Chitta Baral (ACL (1), 2019)

Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs. - Tejas Gokhale; Shailaja Sampat; Zhiyuan Fang; Yezhou Yang; Chitta Baral (CVPR Workshops, 2019)

Integrating Knowledge and Reasoning in Image Understanding. - Somak Aditya; Yezhou Yang; Chitta Baral (IJCAI, 2019)

Identification of Adverse Drug Reaction Mentions in Tweets - SMM4H Shared Task 2019. - Samarth Rawal; Siddharth Rawal; Saadat Anwar; Chitta Baral (SMM4H@ACL, 2019)

Spatial Knowledge Distillation to Aid Visual Reasoning. - Somak Aditya; Rudra Saha; Yezhou Yang; Chitta Baral (WACV, 2019)

Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes. - Samarth Rawal; Ashok Prakash; Soumya Adhya; Sidharth Kulkarni; Saadat Anwar; Chitta Baral; Murthy V. Devarakonda (CoRR, 2019)

Understanding Roles and Entities: Datasets and Models for Natural Language Inference. - Arindam Mitra; Ishan Shrivastava; Chitta Baral (CoRR, 2019)

Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs. - Tejas Gokhale; Shailaja Sampat; Zhiyuan Fang; Yezhou Yang; Chitta Baral (CoRR, 2019)

A Generate-Validate Approach to Answering Questions about Qualitative Relationships. - Arindam Mitra; Chitta Baral; Aurgho Bhattacharjee; Ishan Shrivastava (CoRR, 2019)

Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering. - Arindam Mitra; Pratyay Banerjee; Kuntal Kumar Pal; Swaroop Mishra; Chitta Baral (CoRR, 2019)

Knowledge Guided Named Entity Recognition. - Pratyay Banerjee; Kuntal Kumar Pal; Murthy V. Devarakonda; Chitta Baral (CoRR, 2019)

Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration. - Simon Stepputtis; Joseph Campbell; Mariano J. Phielipp; Chitta Baral; Heni Ben Amor (CoRR, 2019)

How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking into Account Known Constraints. - Chitta Baral; Martine Ceberio; Vladik Kreinovich (Decision Making under Constraints, 2020)

Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models. - Arindam Mitra; Ishan Shrivastava; Chitta Baral (AAAI, 2020)

Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner's Perspective. - Arindam Mitra; Sanjay Narayana; Chitta Baral (SPNLP@EMNLP, 2020)

VQA-LOL: Visual Question Answering Under the Lens of Logic. - Tejas Gokhale; Pratyay Banerjee; Chitta Baral; Yezhou Yang (ECCV (21), 2020)

Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering. - Pratyay Banerjee; Chitta Baral (EMNLP (1), 2020)

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. - Zhiyuan Fang; Tejas Gokhale; Pratyay Banerjee; Chitta Baral; Yezhou Yang (EMNLP (1), 2020)

MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. - Tejas Gokhale; Pratyay Banerjee; Chitta Baral; Yezhou Yang (EMNLP (1), 2020)

Visuo-Lingustic Question Answering (VLQA) Challenge. - Shailaja Keyur Sampat; Yezhou Yang; Chitta Baral (EMNLP (Findings), 2020)

Semi-Automated Clinical Lexicon Induction and Its Use in Cohort Selection from Clinical Notes. - Samarth Rawal; Ashok Prakash; Soumya Adhya; Sidharth Kulkarni; Saadat Anwar; Chitta Baral; Murthy V. Devarakonda (ICHI, 2020)

Human-Machine Interaction for Improved Cybersecurity Named Entity Recognition Considering Semantic Similarity. - Kazuaki Kashihara; Jana Shakarian; Chitta Baral (IntelliSys (2), 2020)

Language-Conditioned Imitation Learning for Robot Manipulation Tasks. - Simon Stepputtis; Joseph Campbell; Mariano J. Phielipp; Stefan Lee; Chitta Baral; Heni Ben Amor (NeurIPS, 2020)

Natural Language QA Approaches using Reasoning with External Knowledge. - Chitta Baral; Pratyay Banerjee; Kuntal Kumar Pal; Arindam Mitra (CoRR, 2020)

Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering. - Pratyay Banerjee; Chitta Baral (CoRR, 2020)

Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge. - Shailaja Sampat; Yezhou Yang; Chitta Baral (CoRR, 2020)

DQI: Measuring Data Quality in NLP. - Swaroop Mishra; Anjana Arunkumar; Bhavdeep Singh Sachdeva; Chris Bryan; Chitta Baral (CoRR, 2020)

Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks. - Swaroop Mishra; Arindam Mitra; Neeraj Varshney; Bhavdeep Singh Sachdeva; Chitta Baral (CoRR, 2020)

Our Evaluation Metric Needs an Update to Encourage Generalization. - Swaroop Mishra; Anjana Arunkumar; Chris Bryan; Chitta Baral (CoRR, 2020)

DQI: A Guide to Benchmark Evaluation. - Swaroop Mishra; Anjana Arunkumar; Bhavdeep Singh Sachdeva; Chris Bryan; Chitta Baral (CoRR, 2020)

It's better to say "I can't answer" than answering incorrectly: Towards Safety critical NLP systems. - Neeraj Varshney; Swaroop Mishra; Chitta Baral (CoRR, 2020)

Multi-Perspective Semantic Information Retrieval. - Samarth Rawal; Chitta Baral (CoRR, 2020)

Self-Supervised VQA: Answering Visual Questions using Images and Captions. - Pratyay Banerjee; Tejas Gokhale; Yezhou Yang; Chitta Baral (CoRR, 2020)

Can Transformers Reason About Effects of Actions? - Pratyay Banerjee; Chitta Baral; Man Luo 003; Arindam Mitra; Kuntal Kumar Pal; Tran Cao Son; Neeraj Varshney (CoRR, 2020)

Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. - Tejas Gokhale; Rushil Anirudh; Bhavya Kailkhura; Jayaraman J. Thiagarajan; Chitta Baral; Yezhou Yang (AAAI, 2021)

WeaQA: Weak Supervision via Captions for Visual Question Answering. - Pratyay Banerjee; Tejas Gokhale; Yezhou Yang; Chitta Baral (ACL/IJCNLP (Findings), 2021)

Constructing Flow Graphs from Procedural Cybersecurity Texts. - Kuntal Kumar Pal; Kazuaki Kashihara; Pratyay Banerjee; Swaroop Mishra; Ruoyu Wang 001; Chitta Baral (ACL/IJCNLP (Findings), 2021)

Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction. - Ming Shen; Pratyay Banerjee; Chitta Baral (ACL/IJCNLP (2), 2021)

Commonsense Reasoning with Implicit Knowledge in Natural Language. - Pratyay Banerjee; Swaroop Mishra; Kuntal Kumar Pal; Arindam Mitra; Chitta Baral (AKBC, 2021)

'Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks. - Man Luo 003; Shailaja Keyur Sampat; Riley Tallman; Yankai Zeng; Manuha Vancha; Akarshan Sajja; Chitta Baral (EACL, 2021)

Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering. - Man Luo 003; Yankai Zeng; Pratyay Banerjee; Chitta Baral (EMNLP (1), 2021)

Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model. - Kuntal Kumar Pal; Chitta Baral (EMNLP (Findings), 2021)

Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. - Pratyay Banerjee; Tejas Gokhale; Yezhou Yang; Chitta Baral (ICCV, 2021)

Self-Supervised Test-Time Learning for Reading Comprehension. - Pratyay Banerjee; Tejas Gokhale; Chitta Baral (NAACL-HLT, 2021)

CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. - Shailaja Keyur Sampat; Akshay Kumar; Yezhou Yang; Chitta Baral (NAACL-HLT, 2021)

Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling. - Pratyay Banerjee; Kuntal Kumar Pal; Fish Wang; Chitta Baral (CoRR, 2021)

'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks. - Man Luo 003; Shailaja Keyur Sampat; Riley Tallman; Yankai Zeng; Manuha Vancha; Akarshan Sajja; Chitta Baral (CoRR, 2021)

Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions. - Swaroop Mishra; Daniel Khashabi; Chitta Baral; Hannaneh Hajishirzi (CoRR, 2021)

Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems. - Neeraj Varshney; Swaroop Mishra; Chitta Baral (CoRR, 2021)

Reframing Instructional Prompts to GPTk's Language. - Swaroop Mishra; Daniel Khashabi; Chitta Baral; Yejin Choi 001; Hannaneh Hajishirzi (CoRR, 2021)

A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis. - Hong Guan; Chitta Baral (CoRR, 2021)

Biomedical Named Entity Recognition via Knowledge Guidance and Question Answering. - Pratyay Banerjee; Kuntal Kumar Pal; Murthy V. Devarakonda; Chitta Baral (ACM Trans. Comput. Heal., 2021)

Improving Biomedical Information Retrieval with Neural Retrievers. - Man Luo 003; Arindam Mitra; Tejas Gokhale; Chitta Baral (AAAI, 2022)

Semantically Distributed Robust Optimization for Vision-and-Language Inference. - Tejas Gokhale; Abhishek Chaudhary; Pratyay Banerjee; Chitta Baral; Yezhou Yang (ACL (Findings), 2022)

Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness. - Tejas Gokhale; Swaroop Mishra; Man Luo 003; Bhavdeep Singh Sachdeva; Chitta Baral (ACL (Findings), 2022)

Reframing Instructional Prompts to GPTk's Language. - Daniel Khashabi; Chitta Baral; Yejin Choi 001; Hannaneh Hajishirzi (ACL (Findings), 2022)

To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. - Yiran Luo 001; Pratyay Banerjee; Tejas Gokhale; Yezhou Yang; Chitta Baral (ACL (2), 2022)

Cross-Task Generalization via Natural Language Crowdsourcing Instructions. - Swaroop Mishra; Daniel Khashabi; Chitta Baral; Hannaneh Hajishirzi (ACL (1), 2022)

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. - Swaroop Mishra; Arindam Mitra; Neeraj Varshney; Bhavdeep Singh Sachdeva; Peter Clark; Chitta Baral; Ashwin Kalyan (ACL (1), 2022)

Unsupervised Natural Language Inference Using PHL Triplet Generation. - Neeraj Varshney; Pratyay Banerjee; Tejas Gokhale; Chitta Baral (ACL (Findings), 2022)

ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. - Neeraj Varshney; Swaroop Mishra; Chitta Baral (ACL (1), 2022)

Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. - Neeraj Varshney; Swaroop Mishra; Chitta Baral (ACL (Findings), 2022)

BioTABQA: Instruction Learning for Biomedical Table Question Answering. - Man Luo 003; Sharad Saxena; Swaroop Mishra; Mihir Parmar; Chitta Baral (CLEF (Working Notes), 2022)

Lexi: Self-Supervised Learning of the UI Language. - Pratyay Banerjee; Shweti Mahajan; Kushal Arora; Chitta Baral; Oriana Riva (EMNLP (Findings), 2022)

Less is More: Summary of Long Instructions is Better for Program Synthesis. - Kirby Kuznia; Swaroop Mishra; Mihir Parmar; Chitta Baral (EMNLP, 2022)

LILA: A Unified Benchmark for Mathematical Reasoning. - Swaroop Mishra; Matthew Finlayson; Pan Lu; Leonard Tang; Sean Welleck; Chitta Baral; Tanmay Rajpurohit; Oyvind Tafjord; Ashish Sabharwal; Peter Clark; Ashwin Kalyan (EMNLP, 2022)

CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. - Maitreya Patel; Tejas Gokhale; Chitta Baral; Yezhou Yang (EMNLP, 2022)

Is a Question Decomposition Unit All We Need? - Pruthvi Patel; Swaroop Mishra; Mihir Parmar; Chitta Baral (EMNLP, 2022)

Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. - Shailaja Keyur Sampat; Pratyay Banerjee; Yezhou Yang; Chitta Baral (EMNLP (Findings), 2022)

Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems. - Neeraj Varshney; Chitta Baral (EMNLP, 2022)

A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context. - Man Luo 003; Shuguang Chen; Chitta Baral (NAACL-HLT (Student Research Workshop), 2022)

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. - Mihir Parmar; Swaroop Mishra; Mirali Purohit; Man Luo 003; Murad Mohammad; Chitta Baral (NAACL-HLT (Findings), 2022)

Towards Improving Selective Prediction Ability of NLP Systems. - Neeraj Varshney; Swaroop Mishra; Chitta Baral (RepL4NLP@ACL, 2022)

An action language for multi-agent domains. - Chitta Baral; Gregory Gelfond; Enrico Pontelli; Tran Cao Son (Artif. Intell., 2022)

Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering. - Man Luo 003; Kazuma Hashimoto; Semih Yavuz; Zhiwei Liu; Chitta Baral; Yingbo Zhou (CoRR, 2022)

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. - Mihir Parmar; Swaroop Mishra; Mirali Purohit; Man Luo 003; M. Hassan Murad; Chitta Baral (CoRR, 2022)

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Anjana Arunkumar; Arjun Ashok; Arut Selvan Dhanasekaran; Atharva Naik; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (CoRR, 2022)

Let the Model Decide its Curriculum for Multitask Learning. - Neeraj Varshney; Swaroop Mishra; Chitta Baral (CoRR, 2022)

Reasoning about Actions over Visual and Linguistic Modalities: A Survey. - Shailaja Keyur Sampat; Maitreya Patel; Subhasish Das; Yezhou Yang; Chitta Baral (CoRR, 2022)

Investigating the Failure Modes of the AUC metric and Exploring Alternatives for Evaluating Systems in Safety Critical Applications. - Swaroop Mishra; Anjana Arunkumar; Chitta Baral (CoRR, 2022)

A Survey of Parameters Associated with the Quality of Benchmarks in NLP. - Swaroop Mishra; Anjana Arunkumar; Chris Bryan; Chitta Baral (CoRR, 2022)

Hardness of Samples Need to be Quantified for a Reliable Evaluation System: Exploring Potential Opportunities with a New Task. - Swaroop Mishra; Anjana Arunkumar; Chris Bryan; Chitta Baral (CoRR, 2022)

Pretrained Transformers Do not Always Improve Robustness. - Swaroop Mishra; Bhavdeep Singh Sachdeva; Chitta Baral (CoRR, 2022)

Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans? - Neeraj Varshney; Man Luo 003; Chitta Baral (CoRR, 2022)

Learning Action-Effect Dynamics from Pairs of Scene-graphs. - Shailaja Keyur Sampat; Pratyay Banerjee; Yezhou Yang; Chitta Baral (CoRR, 2022)

Benchmarking Spatial Relationships in Text-to-Image Generation. - Tejas Gokhale; Hamid Palangi; Besmira Nushi; Vibhav Vineet; Eric Horvitz; Ece Kamar; Chitta Baral; Yezhou Yang (CoRR, 2022)

AISecKG: Knowledge Graph Dataset for Cybersecurity Education. - Garima Agrawal; Kuntal Pal; Yuli Deng; Huan Liu 001; Chitta Baral (AAAI Spring Symposium: MAKE, 2023)

End-to-end Knowledge Retrieval with Multi-modal Queries. - Man Luo 003; Zhiyuan Fang; Tejas Gokhale; Yezhou Yang; Chitta Baral (ACL (1), 2023)

A Study on the Efficiency and Generalization of Light Hybrid Retrievers. - Man Luo 003; Shashank Jain; Anchit Gupta; Arash Einolghozati; Barlas Oguz; Debojeet Chatterjee; Xilun Chen 002; Chitta Baral; Peyman Heidari (ACL (2), 2023)

Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. - Neeraj Varshney; Chitta Baral (ACL (1), 2023)

A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. - Neeraj Varshney; Himanshu Gupta; Eric Robertson 001; Bing Liu 001; Chitta Baral (ACL (Findings), 2023)

Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. - Tung Thai; Mudit Verma; Utkarsh Soni; Sriram Gopalakrishnan; Ming Shen; Mayank Garg; Ayush Kalani; Nakul Vaidya; Neeraj Varshney; Chitta Baral; Subbarao Kambhampati; Jivko Sinapov; et al. (AAMAS, 2023)

Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow. - Anjana Arunkumar; Swaroop Mishra; Bhavdeep Singh Sachdeva; Chitta Baral; Chris Bryan (EACL, 2023)

"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility. - Himanshu Gupta; Neeraj Varshney; Swaroop Mishra; Kuntal Kumar Pal; Saurabh Arjun Sawant; Kevin Scaria; Siddharth Goyal; Chitta Baral (EACL, 2023)

Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. - Mihir Parmar; Swaroop Mishra; Mor Geva; Chitta Baral (EACL, 2023)

How Many Data Samples is an Additional Instruction Worth? - Ravsehaj Singh Puri; Swaroop Mishra; Mihir Parmar; Chitta Baral (EACL (Findings), 2023)

LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference. - Mutsumi Nakamura; Santosh Mashetty; Mihir Parmar; Neeraj Varshney; Chitta Baral (EMNLP (Findings), 2023)

InstructExcel: A Benchmark for Natural Language Instruction in Excel. - Justin Payan; Swaroop Mishra; Mukul Singh; Carina Negreanu; Christian Pölitz; Chitta Baral; Subhro Roy; Rasika Chakravarthy; Benjamin Van Durme; Elnaz Nouri (EMNLP (Findings), 2023)

Prompt-Based Learning for Thread Structure Prediction in Cybersecurity Forums. - Kazuaki Kashihara; Kuntal Kumar Pal; Chitta Baral; Robert P. Trevino (IntelliSys (3), 2023)

Improving Diversity with Adversarially Learned Transformations for Domain Generalization. - Tejas Gokhale; Rushil Anirudh; Jayaraman J. Thiagarajan; Bhavya Kailkhura; Chitta Baral; Yezhou Yang (WACV, 2023)

InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis. - Kevin Scaria; Himanshu Gupta; Saurabh Arjun Sawant; Swaroop Mishra; Chitta Baral (CoRR, 2023)

Exploring the Limits of Transfer Learning with Unified Model in the Cybersecurity Domain. - Kuntal Kumar Pal; Kazuaki Kashihara; Ujjwala Anantheswaran; Kirby C. Kuznia; Siddhesh Jagtap; Chitta Baral (CoRR, 2023)

Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. - Tung Thai; Ming Shen; Mayank Garg; Ayush Kalani; Nakul Vaidya; Utkarsh Soni; Mudit Verma; Sriram Gopalakrishnan; Chitta Baral; Subbarao Kambhampati; Jivko Sinapov; Matthias Scheutz (CoRR, 2023)

Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions? - Neeraj Varshney; Mihir Parmar; Nisarg Patel; Divij Handa; Sayantan Sarkar; Man Luo 003; Chitta Baral (CoRR, 2023)

EDM3: Event Detection as Multi-task Text Generation. - Ujjwala Anantheswaran; Himanshu Gupta; Mihir Parmar; Kuntal Kumar Pal; Chitta Baral (CoRR, 2023)

Instruction Tuned Models are Quick Learners. - Himanshu Gupta; Saurabh Arjun Sawant; Swaroop Mishra; Mutsumi Nakamura; Arindam Mitra; Santosh Mashetty; Chitta Baral (CoRR, 2023)

MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation. - Srija Macherla; Man Luo 003; Mihir Parmar; Chitta Baral (CoRR, 2023)

Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains. - Divyanshu Raj; Chitta Baral; Nakul Gopalan (CoRR, 2023)

Can NLP Models 'Identify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer? - Ayushi Agarwal; Nisarg Patel; Neeraj Varshney; Mihir Parmar; Pavan Mallina; Aryan Bhavin Shah; Srihari Raju Sangaraju; Tirth Patel; Nihar Thakkar; Chitta Baral (CoRR, 2023)

Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models. - Man Luo 003; Shrinidhi Kumbhar; Ming Shen; Mihir Parmar; Neeraj Varshney; Pratyay Banerjee; Somak Aditya; Chitta Baral (CoRR, 2023)

TarGEN: Targeted Data Generation with Large Language Models. - Himanshu Gupta; Kevin Scaria; Ujjwala Anantheswaran; Shreyas Verma; Mihir Parmar; Saurabh Arjun Sawant; Chitta Baral; Swaroop Mishra (CoRR, 2023)

Accelerating LLM Inference by Enabling Intermediate Layer Decoding. - Neeraj Varshney; Agneet Chatterjee; Mihir Parmar; Chitta Baral (CoRR, 2023)

LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks. - Mihir Parmar; Aakanksha Naik; Himanshu Gupta; Disha Agrawal; Chitta Baral (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Neuro Symbolic Reasoning and Learning - Paulo Shakarian; Chitta Baral; Gerardo I. Simari; Bowen Xi; Lahari Pokala (Springer, 2023)

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. - Maitreya Patel; Tejas Gokhale; Chitta Baral; Yezhou Yang (AAAI, 2024)

LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. - Mihir Parmar; Nisarg Patel; Neeraj Varshney; Mutsumi Nakamura; Man Luo 003; Santosh Mashetty; Arindam Mitra; Chitta Baral (ACL (1), 2024)

Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies. - Aswin RRV; Nemika Tyagi; Md Nayem Uddin; Neeraj Varshney; Chitta Baral (ACL (Findings), 2024)

The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness. - Neeraj Varshney; Pavel Dolin; Agastya Seth; Chitta Baral (ACL (Findings), 2024)

On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. - Agneet Chatterjee; Tejas Gokhale; Chitta Baral; Yezhou Yang (CVPR, 2024)

Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. - Yiran Luo 001; Joshua Feinglass; Tejas Gokhale; Kuan-Cheng Lee; Chitta Baral; Yezhou Yang (CVPR Workshops, 2024)

ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations. - Maitreya Patel; Changhoon Kim; Sheng Cheng; Chitta Baral; Yezhou Yang (CVPR, 2024)

Evaluating Multimodal Large Language Models across Distribution Shifts and Augmentations. - Aayush Atul Verma; Amir Saeidi; Shamanthak Hegde; Ajay Therala; Fenil Denish Bardoliya; Nagaraju Machavarapu; Shri Ajay Kumar Ravindhiran; Srija Malyala; Agneet Chatterjee; Yezhou Yang; Chitta Baral (CVPR Workshops, 2024)

REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models. - Agneet Chatterjee; Yiran Luo 001; Tejas Gokhale; Yezhou Yang; Chitta Baral (ECCV (30), 2024)

Getting it Right: Improving Spatial Consistency in Text-to-Image Models. - Agneet Chatterjee; Gabriela Ben Melech Stan; Estelle Aflalo; Sayak Paul; Dhruba Ghosh; Tejas Gokhale; Ludwig Schmidt; Hannaneh Hajishirzi; Vasudev Lal; Chitta Baral; Yezhou Yang (ECCV (22), 2024)

Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models. - Nisarg Patel; Mohith Kulkarni; Mihir Parmar; Aashna Budhiraja; Mutsumi Nakamura; Neeraj Varshney; Chitta Baral (EMNLP, 2024)

Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter? - Nemika Tyagi; Mihir Parmar; Mohith Kulkarni; Aswin RRV; Nisarg Patel; Mutsumi Nakamura; Arindam Mitra; Chitta Baral (EMNLP, 2024)

Learning Temporally Composable Task Segmentations with Language. - Divyanshu Raj; Omkar Patil; Weiwei Gu; Chitta Baral; Nakul Gopalan (IROS, 2024)

Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. - Michael Saxon; Yiran Luo 001; Sharon Levy; Chitta Baral; Yezhou Yang; William Yang Wang (NAACL (Short Papers), 2024)

InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis. - Kevin Scaria; Himanshu Gupta; Siddharth Goyal; Saurabh Arjun Sawant; Swaroop Mishra; Chitta Baral (NAACL (Short Papers), 2024)

Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with 'LITE'. - Neeraj Varshney; Agneet Chatterjee; Mihir Parmar; Chitta Baral (NAACL-HLT (Findings), 2024)

TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives. - Maitreya Patel; Abhiram Kusumba; Sheng Cheng; Changhoon Kim; Tejas Gokhale; Chitta Baral; Yezhou Yang (NeurIPS, 2024)

"Len or index or count, anything but v1": Predicting Variable Names in Decompilation Output with Transfer Learning. - Kuntal Kumar Pal; Ati Priya Bajaj; Pratyay Banerjee; Audrey Dutcher; Mutsumi Nakamura; Zion Leonahenahe Basque; Himanshu Gupta; Saurabh Arjun Sawant; Ujjwala Anantheswaran; Yan Shoshitaishvili; Adam Doupé; Chitta Baral; et al. (SP, 2024)

EDM3: Event Detection as Multi-task Text Generation. - Ujjwala Anantheswaran; Himanshu Gupta; Mihir Parmar; Kuntal Pal; Chitta Baral (*SEM@NAACL, 2024)

Jailbreaking Proprietary Large Language Models using Word Substitution Cipher. - Divij Handa; Advait Chirmule; Bimal G. Gajera; Chitta Baral (CoRR, 2024)

Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks. - Amir Saeidi; Shivanshu Verma; Chitta Baral (CoRR, 2024)

Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. - Mihir Parmar; Nisarg Patel; Neeraj Varshney; Mutsumi Nakamura; Man Luo 003; Santosh Mashetty; Arindam Mitra; Chitta Baral (CoRR, 2024)

Triple Preference Optimization: Achieving Better Alignment with Less Data in a Single Step Optimization. - Amir Saeidi; Shivanshu Verma; Aswin RRV; Chitta Baral (CoRR, 2024)

Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation. - Neeraj Varshney; Satyam Raj; Venkatesh Mishra; Agneet Chatterjee; Ritika Sarkar; Amir Saeidi; Chitta Baral (CoRR, 2024)

Investigating the Robustness of LLMs on Math Word Problems. - Ujjwala Anantheswaran; Himanshu Gupta; Kevin Scaria; Shreyas Verma; Chitta Baral; Swaroop Mishra (CoRR, 2024)

Help Me Identify: Is an LLM+VQA System All We Need to Identify Visual Concepts? - Shailaja Keyur Sampat; Maitreya Patel; Yezhou Yang; Chitta Baral (CoRR, 2024)

ActionCOMET: A Zero-shot Approach to Learn Image-specific Commonsense Concepts about Actions. - Shailaja Keyur Sampat; Yezhou Yang; Chitta Baral (CoRR, 2024)

VL-GLUE: A Suite of Fundamental yet Challenging Visuo-Linguistic Reasoning Tasks. - Shailaja Keyur Sampat; Mutsumi Nakamura; Shankar Kailas; Kartik Aggarwal; Mandy Zhou; Yezhou Yang; Chitta Baral (CoRR, 2024)

Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark. - Himanshu Gupta; Shreyas Verma; Ujjwala Anantheswaran; Kevin Scaria; Mihir Parmar; Swaroop Mishra; Chitta Baral (CoRR, 2024)

Dr.ICL: Demonstration-Retrieved In-context Learning. - Man Luo 003; Xin Xu; Zhuyun Dai; Panupong Pasupat; Mehran Kazemi; Chitta Baral; Vaiva Imbrasaite; Vincent Y. Zhao (Data Intell., 2024)

λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space. - Maitreya Patel; Sangmin Jung; Chitta Baral; Yezhou Yang (Trans. Mach. Learn. Res., 2024)

Map&Make: Schema Guided Text to Table Generation. - Naman Ahuja; Fenil Denish Bardoliya; Chitta Baral; Vivek Gupta (ACL (1), 2025)

GETReason: Enhancing Image Context Extraction through Hierarchical Multi-Agent Reasoning. - Shikhhar Siingh; Abhinav Rawat; Chitta Baral; Vivek Gupta (ACL (1), 2025)

UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization. - Md Nayem Uddin; Amir Saeidi; Divij Handa; Agastya Seth; Tran Cao Son; Eduardo Blanco 002; Steven R. Corman; Chitta Baral (ACL (1), 2025)

TextInVision: Text and Prompt Complexity Driven Visual Text Generation Benchmark. - Forouzan Fallah; Maitreya Patel; Agneet Chatterjee; Vlad I. Morariu; Chitta Baral; Yezhou Yang (CVPR Workshops, 2025)

ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints. - Divij Handa; Pavel Dolin; Shrinidhi Kumbhar; Tran Cao Son; Chitta Baral (ICLR, 2025)

VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning. - Nilay Yilmaz; Maitreya Patel; Yiran Lawrence Luo; Tejas Gokhale; Chitta Baral; Suren Jayasuriya; Yezhou Yang (ICLR, 2025)

Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents. - Shrinidhi Kumbhar; Venkatesh Mishra; Kevin Coutinho; Divij Handa; Ashif Iquebal; Chitta Baral (NAACL (Findings), 2025)

Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning. - Venkatesh Mishra; Bimsara Pathiraja; Mihir Parmar; Sat Chidananda; Jayanth Srinivasa; Gaowen Liu; Ali Payani; Chitta Baral (NAACL (Findings), 2025)

ToW: Thoughts of Words Improve Reasoning in Large Language Models. - Zhikun Xu; Ming Shen; Jacob Dineen; Zhaonan Li; Xiao Ye; Shijie Lu; Aswin RRV; Chitta Baral; Ben Zhou (NAACL (Long Papers), 2025)

Collaborative large language models for automated data extraction in living systematic reviews. - Muhammad Ali Khan; Umair Ayub; Syed Arsalan Ahmed Naqvi; Kaneez Zahra Rubab Khakwani; Zaryab bin Riaz Sipra; Ammad Raina; Sihan Zhou; Huan He; Amir Saeidi; Bashar Hasan; Robert Bryan Rumble; Danielle S. Bitterman; et al. (J. Am. Medical Informatics Assoc., 2025)

Dual Caption Preference Optimization for Diffusion Models. - Amir Saeidi; Yiran Luo 001; Agneet Chatterjee; Shamanthak Hegde; Bimsara Pathiraja; Yezhou Yang; Chitta Baral (CoRR, 2025)

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving. - Mihir Parmar; Xin Liu; Palash Goyal; Yanfei Chen; Long T. Le; Swaroop Mishra; Hossein Mobahi; Jindong Gu; Zifeng Wang 002; Hootan Nakhost; Chitta Baral; Chen-Yu Lee; et al. (CoRR, 2025)

Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective. - Krishna Singh Rajput; Tejas Anvekar; Chitta Baral; Vivek Gupta (CoRR, 2025)

MMTBENCH: A Unified Benchmark for Complex Multimodal Table Reasoning. - Prasham Yatinkumar Titiya; Jainil Trivedi; Chitta Baral; Vivek Gupta (CoRR, 2025)

RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions. - Bimsara Pathiraja; Maitreya Patel; Shivam Singh; Yezhou Yang; Chitta Baral (CoRR, 2025)

QA-LIGN: Aligning LLMs through Constitutionally Decomposed QA. - Jacob Dineen; Aswin RRV; Qin Liu 010; Zhikun Xu; Xiao Ye; Ming Shen; Zhaonan Li; Shijie Lu; Chitta Baral; Muhao Chen 001; Ben Zhou (CoRR, 2025)

PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving. - Mihir Parmar; Palash Goyal; Xin Liu; Yiwen Song; Mingyang Ling; Chitta Baral; Hamid Palangi; Tomas Pfister (CoRR, 2025)

ThinkTuning: Instilling Cognitive Reflections without Distillation. - Aswin RRV; Jacob Dineen; Divij Handa; Md Nayem Uddin; Mihir Parmar; Chitta Baral; Ben Zhou (CoRR, 2025)