Twarql: tapping into the wisdom of the crowd. - Pablo N. Mendes; Alexandre Passant; Pavan Kapanipathi (I-SEMANTICS, 2010)

Linked Open Social Signals. - Pablo N. Mendes; Alexandre Passant; Pavan Kapanipathi; Amit P. Sheth (Web Intelligence, 2010)

Privacy-Aware and Scalable Content Dissemination in Distributed Social Networks. - Pavan Kapanipathi; Julia Anaya; Amit P. Sheth; Brett Slatkin; Alexandre Passant (ISWC (2), 2011)

Personalized Filtering of the Twitter Stream. - Pavan Kapanipathi; Fabrizio Orlandi; Amit P. Sheth; Alexandre Passant (SPIM, 2011)

Characterising Concepts of Interest Leveraging Linked Data and the Social Web. - Fabrizio Orlandi; Pavan Kapanipathi; Amit P. Sheth; Alexandre Passant (Web Intelligence, 2013)

User Interests Identification on Twitter Using a Hierarchical Knowledge Base. - Pavan Kapanipathi; Prateek Jain 001; Chitra Venkatramani; Amit P. Sheth (ESWC, 2014)

Hierarchical interest graph from tweets. - Pavan Kapanipathi; Prateek Jain 001; Chitra Venkatramani; Amit P. Sheth (WWW (Companion Volume), 2014)

Twitris: A System for Collective Social Intelligence. - Amit P. Sheth; Ashutosh Jadhav; Pavan Kapanipathi; Chen Lu; Hemant Purohit; Gary A. Smith; Wenbo Wang 002 (Encyclopedia of Social Network Analysis and Mining, 2014)

Entity Recommendations Using Hierarchical Knowledge Bases. - Siva Kumar Cheekula; Pavan Kapanipathi; Derek Doran; Prateek Jain 001; Amit P. Sheth (KNOW@LOD, 2015)

Knowledge Enabled Approach to Predict the Location of Twitter Users. - Revathy Krishnamurthy; Pavan Kapanipathi; Amit P. Sheth; Krishnaprasad Thirunarayan (ESWC, 2015)

Are We Really Standing on the Shoulders of Giants? - Raghava Mutharaju; Pavan Kapanipathi (NoISE@ESWC, 2015)

Harnessing relationships for domain-specific subgraph extraction: A recommendation use case. - Sarasi Lalithsena; Pavan Kapanipathi; Amit P. Sheth (IEEE BigData, 2016)

Semantic Filtering for Social Data. - Amit P. Sheth; Pavan Kapanipathi (IEEE Internet Comput., 2016)

Domain-specific hierarchical subgraph extraction: A recommendation use case. - Sarasi Lalithsena; Sujan Perera; Pavan Kapanipathi; Amit P. Sheth (IEEE BigData, 2017)

A Measure for Dialog Complexity and its Application in Streamlining Service Operations. - Q. Vera Liao; Biplav Srivastava; Pavan Kapanipathi (CoRR, 2017)

Performance of natural language classifiers in a question-answering system. - Raimo Bakis; Daniel P. Connors; Parijat Dube; Pavan Kapanipathi; Abhishek Kumar 001; Dmitry Malioutov; Chitra Venkatramani (IBM J. Res. Dev., 2017)

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. - Michael Boratko; Harshit Padigela; Divyendra Mikkilineni; Pritish Yuvraj; Rajarshi Das; Andrew McCallum; Maria Chang 001; Achille Fokoue-Nkoutche; Pavan Kapanipathi; Nicholas Mattei; Ryan Musa; Kartik Talamadupula; et al. (QA@ACL, 2018)

An Interface for Annotating Science Questions. - Michael Boratko; Harshit Padigela; Divyendra Mikkilineni; Pritish Yuvraj; Rajarshi Das; Andrew McCallum; Maria Chang 001; Achille Fokoue; Pavan Kapanipathi; Nicholas Mattei; Ryan Musa; Kartik Talamadupula; et al. (EMNLP (Demonstration), 2018)

Answering Science Exam Questions Using Query Rewriting with Background Knowledge. - Ryan Musa; Xiaoyan Wang; Achille Fokoue; Nicholas Mattei; Maria Chang 001; Pavan Kapanipathi; Bassem Makni; Kartik Talamadupula; Michael Witbrock (CoRR, 2018)

Twitris: A System for Collective Social Intelligence. - Amit P. Sheth; Hemant Purohit; Gary Alan Smith; Jeremy Brunn; Ashutosh Jadhav; Pavan Kapanipathi; Chen Lu; Wenbo Wang 002 (Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018)

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. - Xiaoyan Wang; Pavan Kapanipathi; Ryan Musa; Mo Yu; Kartik Talamadupula; Ibrahim Abdelaziz; Maria Chang 001; Achille Fokoue; Bassem Makni; Nicholas Mattei; Michael Witbrock (AAAI, 2019)

Answering Science Exam Questions Using Query Reformulation with Background Knowledge. - Ryan Musa; Xiaoyan Wang; Achille Fokoue; Nicholas Mattei; Maria Chang 001; Pavan Kapanipathi; Bassem Makni; Kartik Talamadupula; Michael Witbrock (AKBC, 2019)

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. - Guy Barash; Mauricio Castillo-Effen; Niyati Chhaya; Peter Clark; Huáscar Espinoza; Eitan Farchi; Christopher W. Geib; Odd Erik Gundersen; Seán Ó hÉigeartaigh; José Hernández-Orallo; Chiori Hori; Xiaowei Huang 001; et al. (AI Mag., 2019)

High-Fidelity Vector Space Models of Structured Data. - Maxwell Crouse; Achille Fokoue; Maria Chang 001; Pavan Kapanipathi; Ryan Musa; Constantine Nakos; Lingfei Wu 001; Kenneth D. Forbus; Michael Witbrock (CoRR, 2019)

A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. - Maxwell Crouse; Spencer Whitehead; Ibrahim Abdelaziz; Bassem Makni; Cristina Cornelio; Pavan Kapanipathi; Edwin Pell; Kavitha Srinivas; Veronika Thost; Michael Witbrock; Achille Fokoue (CoRR, 2019)

Heuristics for Interpretable Knowledge Graph Contextualization. - Kshitij P. Fadnis; Kartik Talamadupula; Pavan Kapanipathi; Haque Ishfaq; Salim Roukos; Achille Fokoue (CoRR, 2019)

Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. - Pavan Kapanipathi; Veronika Thost; Siva Sankalp Patel; Spencer Whitehead; Ibrahim Abdelaziz; Avinash Balakrishnan; Maria Chang 001; Kshitij Fadnis; R. Chulaka Gunasekara; Bassem Makni; Nicholas Mattei; Kartik Talamadupula; et al. (AAAI, 2020)

Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. - Nandana Mihindukulasooriya; Gaetano Rossiello; Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Mo Yu; Alfio Gliozzo; Salim Roukos; Alexander G. Gray (ISWC (1), 2020)

Reading Comprehension as Natural Language Inference: A Semantic Analysis. - Anshuman Mishra; Dhruvesh Patel; Aparna Vijayakumar; Xiang Li 069; Pavan Kapanipathi; Kartik Talamadupula (*SEM@COLING, 2020)

Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge. - Keerthiram Murugesan; Mattia Atzeni; Pushkar Shukla; Mrinmaya Sachan; Pavan Kapanipathi; Kartik Talamadupula (CoRR, 2020)

Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks. - Anshuman Mishra; Dhruvesh Patel; Aparna Vijayakumar; Xiang Li 069; Pavan Kapanipathi; Kartik Talamadupula (CoRR, 2020)

Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. - Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Salim Roukos; Alexander G. Gray; Ramón Fernandez Astudillo; Maria Chang 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (CoRR, 2020)

A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. - Ibrahim Abdelaziz; Srinivas Ravishankar; Pavan Kapanipathi; Salim Roukos; Alexander G. Gray (AAAI, 2021)

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. - Maxwell Crouse; Ibrahim Abdelaziz; Bassem Makni; Spencer Whitehead; Cristina Cornelio; Pavan Kapanipathi; Kavitha Srinivas; Veronika Thost; Michael Witbrock; Achille Fokoue (AAAI, 2021)

Type-augmented Relation Prediction in Knowledge Graphs. - Zijun Cui; Pavan Kapanipathi; Kartik Talamadupula; Tian Gao; Qiang Ji (AAAI, 2021)

Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. - Keerthiram Murugesan; Mattia Atzeni; Pavan Kapanipathi; Pushkar Shukla; Sadhana Kumaravel; Gerald Tesauro; Kartik Talamadupula; Mrinmaya Sachan; Murray Campbell (AAAI, 2021)

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. - Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Salim Roukos; Alexander G. Gray; Ramón Fernandez Astudillo; Maria Chang 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (ACL/IJCNLP (Findings), 2021)

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations. - Keerthiram Murugesan; Mattia Atzeni; Pavan Kapanipathi; Kartik Talamadupula; Mrinmaya Sachan; Murray Campbell (ACL/IJCNLP (2), 2021)

A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. - Tahira Naseem; Srinivas Ravishankar; Nandana Mihindukulasooriya; Ibrahim Abdelaziz; Young-Suk Lee 001; Pavan Kapanipathi; Salim Roukos; Alfio Gliozzo; Alexander G. Gray (ACL/IJCNLP (2), 2021)

Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization. - Anshuman Mishra; Dhruvesh Patel; Aparna Vijayakumar; Xiang Lorraine Li; Pavan Kapanipathi; Kartik Talamadupula (NAACL-HLT, 2021)

Generative Relation Linking for Question Answering over Knowledge Bases. - Gaetano Rossiello; Nandana Mihindukulasooriya; Ibrahim Abdelaziz; Mihaela A. Bornea; Alfio Gliozzo; Tahira Naseem; Pavan Kapanipathi (ISWC, 2021)

Logic Embeddings for Complex Query Answering. - Francois P. S. Luus; Prithviraj Sen; Pavan Kapanipathi; Ryan Riegel; Ndivhuwo Makondo; Thabang Lebese; Alexander G. Gray (CoRR, 2021)

Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion. - Prithviraj Sen; Breno W. S. R. Carvalho; Ibrahim Abdelaziz; Pavan Kapanipathi; Francois P. S. Luus; Salim Roukos; Alexander G. Gray (CoRR, 2021)

SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. - Sumit Neelam; Udit Sharma; Hima Karanam; Shajith Ikbal; Pavan Kapanipathi; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Young-Suk Lee 001; Santosh K. Srivastava; Cezar Pendus; Saswati Dana; Dinesh Garg; et al. (CoRR, 2021)

A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. - Srinivas Ravishankar; June Thai; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Tahira Naseem; Pavan Kapanipathi; Gaetano Rossiello; Achille Fokoue (CoRR, 2021)

Learning to Transpile AMR into SPARQL. - Mihaela A. Bornea; Ramón Fernandez Astudillo; Tahira Naseem; Nandana Mihindukulasooriya; Ibrahim Abdelaziz; Pavan Kapanipathi; Radu Florian; Salim Roukos (CoRR, 2021)

X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization. - Subhajit Chaudhury; Sarathkrishna Swaminathan; R. Chulaka Gunasekara; Maxwell Crouse; Srinivas Ravishankar; Daiki Kimura; Keerthiram Murugesan; Ramón Fernandez Astudillo; Tahira Naseem; Pavan Kapanipathi; Alexander Gray 001 (EMNLP, 2022)

SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. - Sumit Neelam; Udit Sharma; Hima Karanam; Shajith Ikbal; Pavan Kapanipathi; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Young-Suk Lee 001; Santosh K. Srivastava; Cezar Pendus; Saswati Dana; Dinesh Garg; et al. (EMNLP (Findings), 2022)

A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. - Srinivas Ravishankar; Dung Thai; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Tahira Naseem; Pavan Kapanipathi; Gaetano Rossiello; Achille Fokoue (EMNLP (Findings), 2022)

Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. - Prithviraj Sen; Breno W. S. R. de Carvalho; Ibrahim Abdelaziz; Pavan Kapanipathi; Salim Roukos; Alexander G. Gray (EMNLP, 2022)

Zero-shot Entity Linking with Less Data. - G. P. Shrivatsa Bhargav; Dinesh Khandelwal; Saswati Dana; Dinesh Garg; Pavan Kapanipathi; Salim Roukos; Alexander G. Gray; L. Venkata Subramaniam (NAACL-HLT (Findings), 2022)

A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. - Sumit Neelam; Udit Sharma; Hima Karanam; Shajith Ikbal; Pavan Kapanipathi; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Young-Suk Lee 001; Santosh K. Srivastava; Cezar Pendus; Saswati Dana; Dinesh Garg; et al. (CoRR, 2022)

CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases. - Dung Thai; Srinivas Ravishankar; Ibrahim Abdelaziz; Mudit Chaudhary; Nandana Mihindukulasooriya; Tahira Naseem; Rajarshi Das; Pavan Kapanipathi; Achille Fokoue; Andrew McCallum (CoRR, 2022)

Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. - Subhajit Chaudhury; Sarathkrishna Swaminathan; Daiki Kimura; Prithviraj Sen; Keerthiram Murugesan; Rosario Uceda-Sosa; Michiaki Tatsubori; Achille Fokoue; Pavan Kapanipathi; Asim Munawar; Alexander Gray 001 (ACL (1), 2023)

Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. - Maxwell Crouse; Pavan Kapanipathi; Subhajit Chaudhury; Tahira Naseem; Ramón Fernandez Astudillo; Achille Fokoue; Tim Klinger (ACL (1), 2023)

MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. - Keerthiram Murugesan; Sarathkrishna Swaminathan; Soham Dan; Subhajit Chaudhury; R. Chulaka Gunasekara; Maxwell Crouse; Diwakar Mahajan; Ibrahim Abdelaziz; Achille Fokoue; Pavan Kapanipathi; Salim Roukos; Alexander Gray 001 (ACL (Findings), 2023)

Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. - Shajith Ikbal; Udit Sharma; Hima Karanam; Sumit Neelam; Ronny Luss; Dheeraj Sreedhar; Pavan Kapanipathi; Naweed Khan; Kyle Erwin; Ndivhuwo Makondo; Ibrahim Abdelaziz; Achille Fokoue; et al. (EMNLP (Findings), 2023)

Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency. - Maxwell Crouse; Ramón Fernandez Astudillo; Tahira Naseem; Subhajit Chaudhury; Pavan Kapanipathi; Salim Roukos; Alexander Gray 001 (CoRR, 2023)

Formally Specifying the High-Level Behavior of LLM-Based Agents. - Maxwell Crouse; Ibrahim Abdelaziz; Kinjal Basu 002; Soham Dan; Sadhana Kumaravel; Achille Fokoue; Pavan Kapanipathi; Luis A. Lastras (CoRR, 2023)

Learning to Guide a Saturation-Based Theorem Prover. - Ibrahim Abdelaziz; Maxwell Crouse; Bassem Makni; Vernon Austel; Cristina Cornelio; Shajith Ikbal; Pavan Kapanipathi; Ndivhuwo Makondo; Kavitha Srinivas; Michael Witbrock; Achille Fokoue (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. - Kinjal Basu 002; Ibrahim Abdelaziz; Subhajit Chaudhury; Soham Dan; Maxwell Crouse; Asim Munawar; Vernon Austel; Sadhana Kumaravel; Vinod Muthusamy; Pavan Kapanipathi; Luis A. Lastras (ACL (1), 2024)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Ibrahim Abdelaziz; Kinjal Basu 002; Mayank Agarwal; Sadhana Kumaravel; Matthew Stallone; Rameswar Panda; Yara Rizk; G. P. Shrivatsa Bhargav; Maxwell Crouse; R. Chulaka Gunasekara; Shajith Ikbal; Sachindra Joshi; et al. (EMNLP (Industry Track), 2024)

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. - Kinjal Basu 002; Ibrahim Abdelaziz; Subhajit Chaudhury; Soham Dan; Maxwell Crouse; Asim Munawar; Sadhana Kumaravel; Vinod Muthusamy; Pavan Kapanipathi; Luis A. Lastras (CoRR, 2024)

Granite Code Models: A Family of Open Foundation Models for Code Intelligence. - Mayank Mishra; Matt Stallone; Gaoyuan Zhang; Yikang Shen; Aditya Prasad; Adriana Meza Soria; Michele Merler; Parameswaran Selvam; Saptha Surendran; Shivdeep Singh; Manish Sethi; Xuan-Hong Dang; et al. (CoRR, 2024)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Ibrahim Abdelaziz; Kinjal Basu 002; Mayank Agarwal; Sadhana Kumaravel; Matthew Stallone; Rameswar Panda; Yara Rizk; GP Bhargav; Maxwell Crouse; R. Chulaka Gunasekara; Shajith Ikbal; Sachin Joshi; et al. (CoRR, 2024)

NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. - Kinjal Basu 002; Ibrahim Abdelaziz; Kelsey Bradford; Maxwell Crouse; Kiran Kate; Sadhana Kumaravel; Saurabh Goyal; Asim Munawar; Yara Rizk; Xin Wang; Luis A. Lastras; Pavan Kapanipathi (CoRR, 2024)

R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory. - Tenghao Huang; Kinjal Basu 002; Ibrahim Abdelaziz; Pavan Kapanipathi; Jonathan May; Muhao Chen 001 (ACL (1), 2025)

R2D2: Remembering, Reflecting and Dynamic Decision Making for Web Agents. - Tenghao Huang; Kinjal Basu 002; Ibrahim Abdelaziz; Pavan Kapanipathi; Jonathan May; Muhao Chen 001 (CoRR, 2025)

Putting It All into Context: Simplifying Agents with LCLMs. - Mingjian Jiang; Yangjun Ruan; Luis A. Lastras; Pavan Kapanipathi; Tatsunori Hashimoto (CoRR, 2025)

MiGrATe: Mixed-Policy GRPO for Adaptation at Test-Time. - Peter Phan; Dhruv Agarwal 003; Kavitha Srinivas; Horst Samulowitz; Pavan Kapanipathi; Andrew McCallum (CoRR, 2025)