A Rule-Based System for Optimizing Combinational Logic. - Aart J. de Geus; William W. Cohen (IEEE Des. Test, 1985)

Synthesis and Optimization of Multilevel Logic under Timing Constraints. - Karen A. Bartlett; William W. Cohen; Aart J. de Geus; Gary D. Hachtel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1986)

Generalizing Number and Learning from Multiple Examples in Explanation Based Learning. - William W. Cohen (ML, 1988)

Learning from Textbook Knowledge: A Case Study. - William W. Cohen (AAAI, 1990)

An Analysis of Representation Shift in Concept Learning. - William W. Cohen (ML, 1990)

Learning Approximate Control Rules of High Utility. - William W. Cohen (ML, 1990)

The Generality of Overgenerality. - William W. Cohen (ML, 1991)

Computing Least Common Subsumers in Description Logics. - William W. Cohen; Alexander Borgida; Haym Hirsh (AAAI, 1992)

Desiderata for Generalization-to-N Algorithms. - William W. Cohen (AII, 1992)

Learnability of Description Logics. - William W. Cohen; Haym Hirsh (COLT, 1992)

Using Distribution-Free Learning Theory to Analyze Solution Path Caching Mechan isms. - William W. Cohen (Comput. Intell., 1992)

Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem. - William W. Cohen (Mach. Learn., 1992)

Cryptographic Limitations on Learning One-Clause Logic Programs. - William W. Cohen (AAAI, 1993)

Pac-Learning a Restricted Class of Recursive Logic Programs. - William W. Cohen (AAAI, 1993)

Efficient Pruning Methods for Separate-and-Conquer Rule Learning Systems. - William W. Cohen (IJCAI, 1993)

Creating a Memory of Casual Relationships (Book Review). - William W. Cohen (Mach. Learn., 1993)

Recovering Software Specifications with Inductive Logic Programming. - William W. Cohen (AAAI, 1994)

Pac-Learning Nondeterminate Clauses. - William W. Cohen (AAAI, 1994)

Learning the Classic Description Logic: Theoretical and Experimental Results. - William W. Cohen; Haym Hirsh (KR, 1994)

Grammatically Biased Learning: Learning Logic Programs Using an Explicit Antecedent Description Language. - William W. Cohen (Artif. Intell., 1994)

Incremental Abductive EBL. - William W. Cohen (Mach. Learn., 1994)

The Learnability of Description Logics with Equality Constraints. - William W. Cohen; Haym Hirsh (Mach. Learn., 1994)

The Case for Explicit Exceptions. - L. Thorne McCarty; William W. Cohen (Methods Log. Comput. Sci., 1994)

Corrigendum for "Learnability of Description Logics". - William W. Cohen; Haym Hirsh (COLT, 1995)

Fast Effective Rule Induction. - William W. Cohen (ICML, 1995)

Text Categorization and Relational Learning. - William W. Cohen (ICML, 1995)

Pac-Learning Non-Recursive Prolog Clauses. - William W. Cohen (Artif. Intell., 1995)

Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors. - William W. Cohen (Autom. Softw. Eng., 1995)

Pac-Learning Recursive Logic Programs: Efficient Algorithms. - William W. Cohen (J. Artif. Intell. Res., 1995)

Pac-learning Recursive Logic Programs: Negative Results. - William W. Cohen (J. Artif. Intell. Res., 1995)

Polynomial Learnability and Inductive Logic Programming: Methods and Results. - William W. Cohen; C. David Page Jr. (New Gener. Comput., 1995)

Learning Trees and Rules with Set-Valued Features. - William W. Cohen (AAAI/IAAI, Vol. 1, 1996)

The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract). - William W. Cohen (COLT, 1996)

Adaptive mapping and navigation by teams of simple robots. - William W. Cohen (Robotics Auton. Syst., 1996)

Transferring and Retraining Learned Information Filters. - William W. Cohen; Daniel Kudenko (AAAI/IAAI, 1997)

A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction. - William W. Cohen; Premkumar T. Devanbu (ICML, 1997)

Recommendation as Classification: Using Social and Content-Based Information in Recommendation. - Chumki Basu; Haym Hirsh; William W. Cohen (AAAI/IAAI, 1998)

A Web-Based Information System that Reasons with Structured Collections of Text. - William W. Cohen (Agents, 1998)

Joins that Generalize: Text Classification Using WHIRL. - William W. Cohen; Haym Hirsh (KDD, 1998)

Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. - William W. Cohen (SIGMOD Conference, 1998)

Providing Database-like Access to the Web Using Queries Based on Textual Similarity. - William W. Cohen (SIGMOD Conference, 1998)

Communication Performance of Java-Based Parallel Virtual Machines. - Narendar Yalamanchilli; William W. Cohen (Concurr. Pract. Exp., 1998)

Hardness Results for Learning First-Order Representations and Programming by Demonstration. - William W. Cohen (Mach. Learn., 1998)

Recognizing Structure in Web Pages using Similarity Queries. - William W. Cohen (AAAI/IAAI, 1999)

A Simple, Fast, and Effictive Rule Learner. - William W. Cohen; Yoram Singer (AAAI/IAAI, 1999)

A Demonstration of WHIRL (demonstration abstract). - William W. Cohen (SIGIR, 1999)

Some Practical Observations on Integration of Web Information. - William W. Cohen (WebDB (Informal Proceedings), 1999)

Reasoning about Textual Similarity in a Web-Based Information Access System. - William W. Cohen (Auton. Agents Multi Agent Syst., 1999)

Learning Page-Independent Heuristics for Extracting Data from Web Pages. - William W. Cohen; Wei Fan (Comput. Networks, 1999)

Automatically Exploring Hypotheses About Fault Prediction: A Comparative Study of Inductive Logic Programming Methods. - William W. Cohen; Premkumar T. Devanbu (Int. J. Softw. Eng. Knowl. Eng., 1999)

Learning to Order Things. - William W. Cohen; Robert E. Schapire; Yoram Singer (J. Artif. Intell. Res., 1999)

Context-Sensitive Learning Methods for Text Categorization. - William W. Cohen; Yoram Singer (ACM Trans. Inf. Syst., 1999)

Extracting Information from the Web for Concept Learning and Collaborative Filtering. - William W. Cohen (ALT, 2000)

Automatically Extracting Features for Concept Learning from the Web. - William W. Cohen (ICML, 2000)

Hardening soft information sources. - William W. Cohen; Henry A. Kautz; David A. McAllester (KDD, 2000)

WHIRL: A word-based information representation language. - William W. Cohen (Artif. Intell., 2000)

Web-collaborative filtering: recommending music by crawling the Web. - William W. Cohen; Wei Fan (Comput. Networks, 2000)

Learning to Understand the Web. - William W. Cohen; Andrew McCallum; Dallan Quass (IEEE Data Eng. Bull., 2000)

Special Issue of Machine Learning on Information Retrieval - Introduction. - Jaime G. Carbonell; Yiming Yang; William W. Cohen (Mach. Learn., 2000)

Data integration using similarity joins and a word-based information representation language. - William W. Cohen (ACM Trans. Inf. Syst., 2000)

Issues in Extracting Information from the Web. - William W. Cohen (IWPT, 2001)

Technical Paper Recommendation: A Study in Combining Multiple Information Sources. - Chumki Basu; Haym Hirsh; William W. Cohen; Craig G. Nevill-Manning (J. Artif. Intell. Res., 2001)

Learning to match and cluster large high-dimensional data sets for data integration. - William W. Cohen; Jacob Richman (KDD, 2002)

Improving a Page Classifier with Anchor Extraction and Link Analysis. - William W. Cohen (NIPS, 2002)

A flexible learning system for wrapping tables and lists in HTML documents. - William W. Cohen; Matthew Hurst; Lee S. Jensen (WWW, 2002)

A Wrapper Induction System for Complex Documents, and its Application to Tabular Data on the Web. - William W. Cohen; Matthew Hurst; Lee S. Jensen (Web Document Analysis, 2003)

Infrastructure Components for Large-Scale Information Extraction Systems. - William W. Cohen (IAAI, 2003)

A Comparison of String Distance Metrics for Name-Matching Tasks. - William W. Cohen; Pradeep Ravikumar; Stephen E. Fienberg (IIWeb, 2003)

Understanding captions in biomedical publications. - William W. Cohen; Richard C. Wang; Robert F. Murphy (KDD, 2003)

Extracting information from text and images for location proteomics. - Zhenzhen Kou; William W. Cohen; Robert F. Murphy (BIOKDD, 2003)

Learning and Discovering Structure in Web Pages. - William W. Cohen (IEEE Data Eng. Bull., 2003)

Adaptive Name Matching in Information Integration. - Mikhail Bilenko; Raymond J. Mooney; William W. Cohen; Pradeep Ravikumar; Stephen E. Fienberg (IEEE Intell. Syst., 2003)

Learning to Extract Signature and Reply Lines from Email. - Vitor Rocha de Carvalho; William W. Cohen (CEAS, 2004)

Inferring Ongoing Activities of Workstation Users by Clustering Email. - Yifen Huang; Dinesh Govindaraju; Tom M. Mitchell; Vitor Rocha de Carvalho; William W. Cohen (CEAS, 2004)

Learning to Classify Email into "Speech Acts". - William W. Cohen; Vitor R. Carvalho; Tom M. Mitchell (EMNLP, 2004)

Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods. - William W. Cohen; Sunita Sarawagi (KDD, 2004)

Semi-Markov Conditional Random Fields for Information Extraction. - Sunita Sarawagi; William W. Cohen (NIPS, 2004)

A Hierarchical Graphical Model for Record Linkage. - Pradeep Ravikumar; William W. Cohen (UAI, 2004)

Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. - Carolyn Penstein Rosé; Pinar Donmez; Gahgene Gweon; Andrea Knight; Brian Junker; William W. Cohen; Kenneth R. Koedinger; Neil T. Heffernan (AIED, 2005)

Stacked Sequential Learning. - William W. Cohen; Vitor Rocha de Carvalho (IJCAI, 2005)

Learning to Understand Web Site Update Requests. - William W. Cohen; Einat Minkov; Anthony Tomasic (IJCAI, 2005)

High-recall protein entity recognition using a dictionary. - Zhenzhen Kou; William W. Cohen; Robert F. Murphy (ISMB (Supplement of Bioinformatics), 2005)

Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text. - Einat Minkov; Richard C. Wang; William W. Cohen (HLT/EMNLP, 2005)

On the collective classification of email "speech acts". - Vitor Rocha de Carvalho; William W. Cohen (SIGIR, 2005)

An Email and Meeting Assistant Using Graph Walks. - Einat Minkov; William W. Cohen (CEAS, 2006)

Single-pass online learning: performance, voting schemes and online feature selection. - Vitor R. Carvalho; William W. Cohen (KDD, 2006)

NER Systems that Suit User's Preferences: Adjusting the Recall-Precision Trade-off for Entity Extraction. - Einat Minkov; Richard C. Wang; Anthony Tomasic; William W. Cohen (HLT-NAACL, 2006)

Contextual search and name disambiguation in email using graphs. - Einat Minkov; William W. Cohen; Andrew Y. Ng (SIGIR, 2006)

A graph-search framework for associating gene identifiers with documents. - William W. Cohen; Einat Minkov (BMC Bioinform., 2006)

Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation. - Noboru Matsuda; William W. Cohen; Jonathan Sewall; Gustavo Lacerda; Kenneth R. Koedinger (AIED, 2007)

Discovering Leadership Roles in Email Workgroups. - Vitor R. Carvalho; Wen Wu; William W. Cohen (CEAS, 2007)

A Comparative Study of Methods for Transductive Transfer Learning. - Andrew O. Arnold; Ramesh Nallapati; William W. Cohen (ICDM Workshops, 2007)

Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. - Ramesh Nallapati; Amr Ahmed 001; William W. Cohen; Eric P. Xing (ICDM Workshops, 2007)

Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. - Ramesh Nallapati; William W. Cohen; John D. Lafferty (ICDM Workshops, 2007)

Language-Independent Set Expansion of Named Entities Using the Web. - Richard C. Wang; William W. Cohen (ICDM, 2007)

Machine Learning for Information Management: Some Promising Directions. - William W. Cohen (ICMLA, 2007)

Identifying Fluorescence Microscope Images in Online Journal Articles Using Both Image and Text Features. - Juchang Hua; Orhan N. Ayasli; William W. Cohen; Robert F. Murphy (ISBI, 2007)

A Stacked Graphical Model for Associating Sub-Images with Sub-Captions. - Zhenzhen Kou; William W. Cohen; Robert F. Murphy (Pacific Symposium on Biocomputing, 2007)

Preventing Information Leaks in Email. - Vitor R. Carvalho; William W. Cohen (SDM, 2007)

Stacked Graphical Models for Efficient Inference in Markov Random Fields. - Zhenzhen Kou; William W. Cohen (SDM, 2007)

Evaluating a Simulated Student Using Real Students Data for Training and Testing. - Noboru Matsuda; William W. Cohen; Jonathan Sewall; Gustavo Lacerda; Kenneth R. Koedinger (User Modeling, 2007)

Extending WHIRL with background knowledge for improved text classification. - Sarah Zelikovitz; William W. Cohen; Haym Hirsh (Inf. Retr., 2007)

Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. - Andrew O. Arnold; Ramesh Nallapati; William W. Cohen (ACL, 2008)

Activity-centred Search in Email. - Einat Minkov; Ramnath Balasubramanyan; William W. Cohen (CEAS, 2008)

Intra-document structural frequency features for semi-supervised domain adaptation. - Andrew Arnold; William W. Cohen (CIKM, 2008)

Suppressing outliers in pairwise preference ranking. - Vitor R. Carvalho; Jonathan L. Elsas; William W. Cohen; Jaime G. Carbonell (CIKM, 2008)

Ranking Users for Intelligent Message Addressing. - Vitor R. Carvalho; William W. Cohen (ECIR, 2008)

Learning Graph Walk Based Similarity Measures for Parsed Text. - Einat Minkov; William W. Cohen (EMNLP, 2008)

Automatic Set Expansion for List Question Answering. - Richard C. Wang; Nico Schlaefer; William W. Cohen; Eric Nyberg (EMNLP, 2008)

Iterative Set Expansion of Named Entities Using the Web. - Richard C. Wang; William W. Cohen (ICDM, 2008)

The MultiRank Bootstrap Algorithm: Self-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification. - Frank Lin; William W. Cohen (ICWSM, 2008)

Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs. - Ramesh Nallapati; William W. Cohen (ICWSM, 2008)

Recovering Implicit Thread Structure in Newsgroup Style Conversations. - Yi-Chia Wang; Mahesh Joshi; William W. Cohen; Carolyn P. Rosé (ICWSM, 2008)

Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature. - Luís Pedro Coelho; Amr Ahmed 001; Andrew Arnold; Joshua D. Kangas; Abdul-Saboor Sheikh; Eric P. Xing; William W. Cohen; Robert F. Murphy (BioLINK@ISMB/ECCB, 2008)

Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study. - Noboru Matsuda; William W. Cohen; Jonathan Sewall; Gustavo Lacerda; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2008)

Joint latent topic models for text and citations. - Ramesh Nallapati; Amr Ahmed 001; Eric P. Xing; William W. Cohen (KDD, 2008)

Automatic Set Instance Extraction using the Web. - Richard C. Wang; William W. Cohen (ACL/IJCNLP, 2009)

Character-level Analysis of Semi-Structured Documents for Set Expansion. - Richard C. Wang; William W. Cohen (EMNLP, 2009)

From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences. - Ramnath Balasubramanyan; Frank Lin; William W. Cohen; Matthew Hurst; Noah A. Smith (ICWSM, 2009)

Structured correspondence topic models for mining captioned figures in biological literature. - Amr Ahmed 001; Eric P. Xing; William W. Cohen; Robert F. Murphy (KDD, 2009)

Predicting Response to Political Blog Posts with Topic Models. - Tae Yano; William W. Cohen; Noah A. Smith (HLT-NAACL, 2009)

Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection. - Andrew Arnold; William W. Cohen (WASA, 2009)

Integrating Transfer Learning in Synthetic Student. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (AAAI, 2010)

Towards a Computational Model of Why Some Students Learn Faster than Others. - Nan Li 001; Noboru Matsuda; William W. Cohen; Kenneth R. Koedinger (AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 2010)

Semi-Supervised Classification of Network Data Using Very Few Labels. - Frank Lin; William W. Cohen (ASONAM, 2010)

A Very Fast Method for Clustering Big Text Datasets. - Frank Lin; William W. Cohen (ECAI, 2010)

Power Iteration Clustering. - Frank Lin; William W. Cohen (ICML, 2010)

A Computational Model of Accelerated Future Learning through Feature Recognition. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (Intelligent Tutoring Systems (2), 2010)

Learning by Teaching SimStudent. - Noboru Matsuda; Victoria Keiser; Rohan Raizada; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (Intelligent Tutoring Systems (2), 2010)

Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students. - Noboru Matsuda; Victoria Keiser; Rohan Raizada; Arthur Tu; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (Intelligent Tutoring Systems (1), 2010)

Fast query execution for retrieval models based on path-constrained random walks. - Ni Lao; William W. Cohen (KDD, 2010)

Efficient Relational Learning with Hidden Variable Detection. - Ni Lao; Jun Zhu 001; Xinwang Liu; Yandong Liu; William W. Cohen (NIPS, 2010)

Signal/Collect: Graph Algorithms for the (Semantic) Web. - Philip Stutz; Abraham Bernstein; William W. Cohen (ISWC (1), 2010)

Entity List Completion Using Set Expansion Techniques. - Bhavana Bharat Dalvi; Jamie Callan; William W. Cohen (TREC, 2010)

Relational retrieval using a combination of path-constrained random walks. - Ni Lao; William W. Cohen (Mach. Learn., 2010)

Improving graph-walk-based similarity with reranking: Case studies for personal information management. - Einat Minkov; William W. Cohen (ACM Trans. Inf. Syst., 2010)

Structured literature image finder: Parsing text and figures in biomedical literature. - Amr Ahmed 001; Andrew Arnold; Luís Pedro Coelho; Joshua D. Kangas; Abdul-Saboor Sheikh; Eric P. Xing; William W. Cohen; Robert F. Murphy (J. Web Semant., 2010)

Learning by Teaching SimStudent - Interactive Event. - Noboru Matsuda; Victoria Keiser; Rohan Raizada; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (AIED, 2011)

Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor. - Noboru Matsuda; Evelyn Yarzebinski; Victoria Keiser; Rohan Raizada; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (AIED, 2011)

A Machine Learning Approach for Automatic Student Model Discovery. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger; Noboru Matsuda (EDM, 2011)

Structured Databases of Named Entities from Bayesian Nonparametrics. - Jacob Eisenstein; Tae Yano; William W. Cohen; Noah A. Smith; Eric P. Xing (ULNLP@EMNLP, 2011)

Random Walk Inference and Learning in A Large Scale Knowledge Base. - Ni Lao; Tom M. Mitchell; William W. Cohen (EMNLP, 2011)

Block-LDA: Jointly modeling entity-annotated text and entity-entity links. - Ramnath Balasubramanyan; William W. Cohen (SDM, 2011)

Invited Talks. - Timothy W. Clark; William W. Cohen; Lawrence Hunter; Chris J. Lintott; Jude W. Shavlik (AAAI Fall Symposium: Discovery Informatics, 2012)

Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia. - Partha P. Talukdar; William W. Cohen (BEA@NAACL-HLT, 2012)

Evaluating Joint Modeling of Yeast Biology Literature and Protein-Protein Interaction Networks. - Ramnath Balasubramanyan; Kathryn Rivard; William W. Cohen; Jelena Jakovljevic; John L. Woolford (BioNLP@HLT-NAACL, 2012)

Bootstrapping Biomedical Ontologies for Scientific Text using NELL. - Dana Movshovitz-Attias; William W. Cohen (BioNLP@HLT-NAACL, 2012)

Alignment-HMM-based Extraction of Abbreviations from Biomedical Text. - Dana Movshovitz-Attias; William W. Cohen (BioNLP@HLT-NAACL, 2012)

Community-based classification of noun phrases in twitter. - Freddy Chong Tat Chua; William W. Cohen; Justin Betteridge; Ee-Peng Lim (CIKM, 2012)

Learning similarity measures based on random walks. - William W. Cohen (CIKM, 2012)

Shallow learning as a pathway for successful learning both for tutors and tutees. - Noboru Matsuda; Evelyn Yarzebinski; Victoria Keiser; Rohan Raizada; William W. Cohen; Gabriel Stylianides; Kenneth R. Koedinger (CogSci, 2012)

Studying the Effect of Tutor Learning Using a Teachable Agent that Asks the Student Tutor for Explanations. - Noboru Matsuda; William W. Cohen; Kenneth R. Koedinger; Victoria Keiser; Rohan Raizada; Evelyn Yarzebinski; Shayna P. Watson; Gabriel Stylianides (DIGITEL, 2012)

Creating Features from a Learned Grammar in a Simulated Student. - Nan Li 001; Abraham Schreiber; William W. Cohen; Kenneth R. Koedinger (ECAI, 2012)

Multi-Domain Learning: When Do Domains Matter? - Mahesh Joshi; Mark Dredze; William W. Cohen; Carolyn P. Rosé (EMNLP-CoNLL, 2012)

Reading The Web with Learned Syntactic-Semantic Inference Rules. - Ni Lao; Amarnag Subramanya; Fernando C. N. Pereira; William W. Cohen (EMNLP-CoNLL, 2012)

Integrating perceptual representation learning and skill learning in a simulated student. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (ICDL-EPIROB, 2012)

A General and Scalable Approach to Mixed Membership Clustering. - Frank Lin; William W. Cohen (ICDM, 2012)

Modeling Polarizing Topics: When Do Different Political Communities Respond Differently to the Same News? - Ramnath Balasubramanyan; William W. Cohen; Douglas Pierce; David P. Redlawsk (ICWSM, 2012)

Problem Order Implications for Learning Transfer. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (ITS, 2012)

Efficient Cross-Domain Learning of Complex Skills. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (ITS, 2012)

Collectively Representing Semi-Structured Data from the Web. - Bhavana Dalvi; William W. Cohen; Jamie Callan (AKBC-WEKEX@NAACL-HLT, 2012)

Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (ECML/PKDD (2), 2012)

Graph Based Similarity Measures for Synonym Extraction from Parsed Text. - Einat Minkov; William W. Cohen (TextGraphs@ACL, 2012)

WebSets: extracting sets of entities from the web using unsupervised information extraction. - Bhavana Bharat Dalvi; William W. Cohen; Jamie Callan (WSDM, 2012)

Large-Scale Knowledge Graph Identification Using PSL. - Jay Pujara; Hui Miao 001; Lise Getoor; William W. Cohen (AAAI Fall Symposia, 2013)

Natural Language Models for Predicting Programming Comments. - Dana Movshovitz-Attias; William W. Cohen (ACL (2), 2013)

Integrating Perceptual Learning with External World Knowledge in a Simulated Student. - Nan Li 001; Yuandong Tian; William W. Cohen; Kenneth R. Koedinger (AIED, 2013)

Politics, sharing and emotion in microblogs. - Tuan-Anh Hoang; William W. Cohen; Ee-Peng Lim; Douglas Pierce; David P. Redlawsk (ASONAM, 2013)

Classifying entities into an incomplete ontology. - Bhavana Dalvi; William W. Cohen; Jamie Callan (AKBC@CIKM, 2013)

Ontology-aware partitioning for knowledge graph identification. - Jay Pujara; Hui Miao 001; Lise Getoor; William W. Cohen (AKBC@CIKM, 2013)

Programming with personalized pagerank: a locally groundable first-order probabilistic logic. - William Yang Wang; Kathryn Mazaitis; William W. Cohen (CIKM, 2013)

General and Efficient Cognitive Model Discovery Using a Simulated Student. - Nan Li 001; Eliane Stampfer; William W. Cohen; Kenneth R. Koedinger (CogSci, 2013)

Discovering Student Models with a Clustering Algorithm Using Problem Content. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (EDM, 2013)

What's in a Domain? Multi-Domain Learning for Multi-Attribute Data. - Mahesh Joshi; Mark Dredze; William W. Cohen; Carolyn P. Rosé (HLT-NAACL, 2013)

From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering. - Ramnath Balasubramanyan; Bhavana Bharat Dalvi; William W. Cohen (ECML/PKDD (2), 2013)

Exploratory Learning. - Bhavana Bharat Dalvi; William W. Cohen; Jamie Callan (ECML/PKDD (3), 2013)

Regularization of Latent Variable Models to Obtain Sparsity. - Ramnath Balasubramanyan; William W. Cohen (SDM, 2013)

Very Fast Similarity Queries on Semi-Structured Data from the Web. - William W. Cohen; Bhavana Bharat Dalvi (SDM, 2013)

Knowledge Graph Identification. - Jay Pujara; Hui Miao 001; Lise Getoor; William W. Cohen (ISWC (1), 2013)

Creating an educational robot by embedding a learning agent in the physical world (abstract only). - Nan Li 001; Apoorv Khandelwal 002; Tung Phan; David S. Touretzky; William W. Cohen; Kenneth R. Koedinger (SIGCSE, 2013)

Problem Order Implications for Learning. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2013)

The Effect of Biased Communications On Both Trusting and Suspicious Voters. - William W. Cohen; David P. Redlawsk; Douglas Pierce (CoRR, 2013)

ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference. - William Yang Wang; Kathryn Mazaitis; William W. Cohen (StarAI@AAAI, 2014)

Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch. - Partha Pratim Talukdar; William W. Cohen (AISTATS, 2014)

Structure Learning via Parameter Learning. - William Yang Wang; Kathryn Mazaitis; William W. Cohen (CIKM, 2014)

Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach. - William Yang Wang; Lingpeng Kong; Kathryn Mazaitis; William W. Cohen (EMNLP, 2014)

Investigating the Effect of Meta-cognitive Scaffolding for Learning by Teaching. - Noboru Matsuda; Cassondra L. Griger; Nikolaos Barbalios; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2014)

On Modeling Community Behaviors and Sentiments in Microblogging. - Tuan-Anh Hoang; William W. Cohen; Ee-Peng Lim (SDM, 2014)

Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic. - William Yang Wang; Kathryn Mazaitis; Ni Lao; Tom M. Mitchell; William W. Cohen (CoRR, 2014)

Adaptive graph walk-based similarity measures for parsed text. - Einat Minkov; William W. Cohen (Nat. Lang. Eng., 2014)

Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links. - Ramnath Balasubramanyan; William W. Cohen (Handbook of Mixed Membership Models and Their Applications, 2014)

Never-Ending Learning. - Tom M. Mitchell; William W. Cohen; Estevam R. Hruschka Jr.; Partha Pratim Talukdar; Justin Betteridge; Andrew Carlson; Bhavana Dalvi Mishra; Matthew Gardner 001; Bryan Kisiel; Jayant Krishnamurthy; Ni Lao; Kathryn Mazaitis; et al. (AAAI, 2015)

Learning Relational Features with Backward Random Walks. - Ni Lao; Einat Minkov; William W. Cohen (ACL (1), 2015)

KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts. - Dana Movshovitz-Attias; William W. Cohen (ACL (1), 2015)

Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach. - William Yang Wang; William W. Cohen (ACL (1), 2015)

Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists. - Lidong Bing; Sneha Chaudhari; Richard C. Wang; William W. Cohen (EMNLP, 2015)

Learning to Identify the Best Contexts for Knowledge-based WSD. - Evgenia Wasserman Pritsker; William W. Cohen; Einat Minkov (EMNLP, 2015)

A Soft Version of Predicate Invention Based on Structured Sparsity. - William Yang Wang; Kathryn Mazaitis; William W. Cohen (IJCAI, 2015)

Automatic Gloss Finding for a Knowledge Base using Ontological Constraints. - Bhavana Bharat Dalvi; Einat Minkov; Partha Pratim Talukdar; William W. Cohen (WSDM, 2015)

Integrating representation learning and skill learning in a human-like intelligent agent. - Nan Li 001; Noboru Matsuda; William W. Cohen; Kenneth R. Koedinger (Artif. Intell., 2015)

Teaching the Teacher: Tutoring SimStudent Leads to More Effective Cognitive Tutor Authoring. - Noboru Matsuda; William W. Cohen; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2015)

Using Semantics and Statistics to Turn Data into Knowledge. - Jay Pujara; Hui Miao 001; Lise Getoor; William W. Cohen (AI Mag., 2015)

Grounded Discovery of Coordinate Term Relationships between Software Entities. - Dana Movshovitz-Attias; William W. Cohen (CoRR, 2015)

Programming with "Big Code" (Dagstuhl Seminar 15472). - William W. Cohen; Charles Sutton; Martin T. Vechev (Dagstuhl Reports, 2015)

Efficient inference and learning in a large knowledge base - Reasoning with extracted information using a locally groundable first-order probabilistic logic. - William Yang Wang; Kathryn Mazaitis; Ni Lao; William W. Cohen (Mach. Learn., 2015)

Beyond Independent Relevance: Methods and Evaluation Metrics for Subtopic Retrieval. - ChengXiang Zhai; William W. Cohen; John D. Lafferty (SIGIR Forum, 2015)

Distant IE by Bootstrapping Using Lists and Document Structure. - Lidong Bing; Mingyang Ling 001; Richard C. Wang; William W. Cohen (AAAI, 2016)

Tweet2Vec: Character-Based Distributed Representations for Social Media. - Bhuwan Dhingra; Zhong Zhou; Dylan J. Fitzpatrick; Michael Muehl; William W. Cohen (ACL (2), 2016)

Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction. - Lidong Bing; William W. Cohen; Bhuwan Dhingra; Richard C. Wang (AKBC@NAACL-HLT, 2016)

Revisiting Semi-Supervised Learning with Graph Embeddings. - Zhilin Yang 001; William W. Cohen; Ruslan Salakhutdinov (ICML, 2016)

Learning First-Order Logic Embeddings via Matrix Factorization. - William Yang Wang; William W. Cohen (IJCAI, 2016)

Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs. - Zhilin Yang 001; Jie Tang 001; William W. Cohen (IJCAI, 2016)

Scalable Statistical Relational Learning for NLP. - William Yang Wang; William W. Cohen (HLT-NAACL Tutorials, 2016)

Review Networks for Caption Generation. - Zhilin Yang 001; Ye Yuan; Yuexin Wu; William W. Cohen; Ruslan Salakhutdinov (NIPS, 2016)

Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach. - Rose Catherine; William W. Cohen (RecSys, 2016)

Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies. - Bhavana Dalvi; Aditya Kumar Mishra; William W. Cohen (WSDM, 2016)

TensorLog: A Differentiable Deductive Database. - William W. Cohen (CoRR, 2016)

Gated-Attention Readers for Text Comprehension. - Bhuwan Dhingra; Hanxiao Liu; William W. Cohen; Ruslan Salakhutdinov (CoRR, 2016)

Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams. - Abhinav Maurya; Kenton Murray; Yandong Liu; Chris Dyer; William W. Cohen; Daniel B. Neill (CoRR, 2016)

Multi-Task Cross-Lingual Sequence Tagging from Scratch. - Zhilin Yang 001; Ruslan Salakhutdinov; William W. Cohen (CoRR, 2016)

Encode, Review, and Decode: Reviewer Module for Caption Generation. - Zhilin Yang 001; Ye Yuan; Yuexin Wu; Ruslan Salakhutdinov; William W. Cohen (CoRR, 2016)

Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. - Lidong Bing; Bhuwan Dhingra; Kathryn Mazaitis; Jong Hyuk Park 004; William W. Cohen (AAAI, 2017)

Gated-Attention Readers for Text Comprehension. - Bhuwan Dhingra; Hanxiao Liu; Zhilin Yang 001; William W. Cohen; Ruslan Salakhutdinov (ACL (1), 2017)

Semi-Supervised QA with Generative Domain-Adaptive Nets. - Zhilin Yang 001; Junjie Hu 001; Ruslan Salakhutdinov; William W. Cohen (ACL (1), 2017)

Learning to Organize Knowledge with N-Gram Machines. - Fan Yang 058; William W. Cohen; Jiazhong Nie; Ni Lao (AKBC@NIPS, 2017)

Collective Entity Linking in Tweets Over Space and Time. - Wen-Haw Chong; Ee-Peng Lim; William W. Cohen (ECIR, 2017)

Words or Characters? Fine-grained Gating for Reading Comprehension. - Zhilin Yang 001; Bhuwan Dhingra; Ye Yuan; Junjie Hu 001; William W. Cohen; Ruslan Salakhutdinov (ICLR (Poster), 2017)

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. - Zhilin Yang 001; Ruslan Salakhutdinov; William W. Cohen (ICLR (Poster), 2017)

Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. - Lidong Bing; William W. Cohen; Bhuwan Dhingra (IJCAI, 2017)

Good Semi-supervised Learning That Requires a Bad GAN. - Zihang Dai; Zhilin Yang 001; Fan Yang 058; William W. Cohen; Ruslan Salakhutdinov (NIPS, 2017)

Differentiable Learning of Logical Rules for Knowledge Base Reasoning. - Fan Yang 058; Zhilin Yang 001; William W. Cohen (NIPS, 2017)

TransNets: Learning to Transform for Recommendation. - Rose Catherine; William W. Cohen (RecSys, 2017)

Explainable Entity-based Recommendations with Knowledge Graphs. - Rose Catherine; Kathryn Mazaitis; Maxine Eskénazi; William W. Cohen (RecSys Posters, 2017)

TensorLog: Deep Learning Meets Probabilistic DBs. - William W. Cohen; Fan Yang 058; Kathryn Mazaitis (CoRR, 2017)

A Comparative Study of Word Embeddings for Reading Comprehension. - Bhuwan Dhingra; Hanxiao Liu; Ruslan Salakhutdinov; William W. Cohen (CoRR, 2017)

Quasar: Datasets for Question Answering by Search and Reading. - Bhuwan Dhingra; Kathryn Mazaitis; William W. Cohen (CoRR, 2017)

Linguistic Knowledge as Memory for Recurrent Neural Networks. - Bhuwan Dhingra; Zhilin Yang 001; William W. Cohen; Ruslan Salakhutdinov (CoRR, 2017)

Differentiable Learning of Logical Rules for Knowledge Base Completion. - Fan Yang 058; Zhilin Yang 001; William W. Cohen (CoRR, 2017)

Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern. - Lidong Bing; Zhiming Zhang; Wai Lam; William W. Cohen (Knowl. Based Syst., 2017)

Learning to Define Terms in the Software Domain. - Vidhisha Balachandran; Dheeraj Rajagopal; Rose Catherine Kanjirathinkal; William W. Cohen (NUT@EMNLP, 2018)

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. - Haitian Sun; Bhuwan Dhingra; Manzil Zaheer; Kathryn Mazaitis; Ruslan Salakhutdinov; William W. Cohen (EMNLP, 2018)

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. - Zhilin Yang 001; Peng Qi 003; Saizheng Zhang; Yoshua Bengio; William W. Cohen; Ruslan Salakhutdinov; Christopher D. Manning (EMNLP, 2018)

TransNets for Review Generation. - Rose Catherine; William W. Cohen (ICLR (Workshop), 2018)

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. - Zhilin Yang 001; Zihang Dai; Ruslan Salakhutdinov; William W. Cohen (ICLR, 2018)

Neural Models for Reasoning over Multiple Mentions Using Coreference. - Bhuwan Dhingra; Qiao Jin 001; Zhilin Yang 001; William W. Cohen; Ruslan Salakhutdinov (NAACL-HLT (2), 2018)

Semi-Supervised Learning with Declaratively Specified Entropy Constraints. - Haitian Sun; William W. Cohen; Lidong Bing (NeurIPS, 2018)

GLoMo: Unsupervised Learning of Transferable Relational Graphs. - Zhilin Yang 001; Junbo Jake Zhao; Bhuwan Dhingra; Kaiming He; William W. Cohen; Ruslan Salakhutdinov; Yann LeCun (NeurIPS, 2018)

Never-ending learning. - Tom M. Mitchell; William W. Cohen; Estevam R. Hruschka Jr.; Partha P. Talukdar; Bo Yang 011; Justin Betteridge; Andrew Carlson; Bhavana Dalvi Mishra; Matt Gardner 001; Bryan Kisiel; Jayant Krishnamurthy; Ni Lao; et al. (Commun. ACM, 2018)

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations. - Zhilin Yang 001; Junbo Jake Zhao; Bhuwan Dhingra; Kaiming He; William W. Cohen; Ruslan Salakhutdinov; Yann LeCun (CoRR, 2018)

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. - Bhuwan Dhingra; Manaal Faruqui; Ankur P. Parikh; Ming-Wei Chang; Dipanjan Das 001; William W. Cohen (ACL (1), 2019)

PubMedQA: A Dataset for Biomedical Research Question Answering. - Qiao Jin 001; Bhuwan Dhingra; Zhengping Liu; William W. Cohen; Xinghua Lu 001 (EMNLP/IJCNLP (1), 2019)

PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text. - Haitian Sun; Tania Bedrax-Weiss; William W. Cohen (EMNLP/IJCNLP (1), 2019)

Game Design for Eliciting Distinguishable Behavior. - Fan Yang 058; Liu Leqi; Yifan Wu; Zachary Chase Lipton; Pradeep Ravikumar; Tom M. Mitchell; William W. Cohen (NeurIPS, 2019)

Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning. - Haohan Wang; Xiang Liu 017; Yifeng Tao; Wenting Ye; Qiao Jin 001; William W. Cohen; Eric P. Xing (PSB, 2019)

Incremental Reading for Question Answering. - Samira Abnar; Tania Bedrax-Weiss; Tom Kwiatkowski; William W. Cohen (CoRR, 2019)

Probing Biomedical Embeddings from Language Models. - Qiao Jin 001; Bhuwan Dhingra; William W. Cohen; Xinghua Lu 001 (CoRR, 2019)

Neural Query Language: A Knowledge Base Query Language for Tensorflow. - William W. Cohen; Matthew Siegler; R. Alex Hofer (CoRR, 2019)

Differentiable Representations For Multihop Inference Rules. - William W. Cohen; Haitian Sun; R. Alex Hofer; Matthew Siegler (CoRR, 2019)

Instance-based Transfer Learning for Multilingual Deep Retrieval. - Andrew O. Arnold; William W. Cohen (CoRR, 2019)

Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base. - William W. Cohen; Haitian Sun; R. Alex Hofer; Matthew Siegler (ICLR, 2020)

Differentiable Reasoning over a Virtual Knowledge Base. - Bhuwan Dhingra; Manzil Zaheer; Vidhisha Balachandran; Graham Neubig; Ruslan Salakhutdinov; William W. Cohen (ICLR, 2020)

Faithful Embeddings for Knowledge Base Queries. - Haitian Sun; Andrew O. Arnold; Tania Bedrax-Weiss; Fernando Pereira 003; William W. Cohen (NeurIPS, 2020)

From Genome to Phenome: Predicting Multiple Cancer Phenotypes Based on Somatic GenomicAlterations via the Genomic Impact Transformer. - Yifeng Tao; Chunhui Cai; William W. Cohen; Xinghua Lu 001 (PSB, 2020)

Guessing What's Plausible But Remembering What's True: Accurate Neural Reasoning for Question-Answering. - Haitian Sun; Andrew O. Arnold; Tania Bedrax-Weiss; Fernando Pereira 003; William W. Cohen (CoRR, 2020)

Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge. - Pat Verga; Haitian Sun; Livio Baldini Soares; William W. Cohen (CoRR, 2020)

Evaluating Explanations: How much do explanations from the teacher aid students? - Danish Pruthi; Bhuwan Dhingra; Livio Baldini Soares; Michael Collins 001; Zachary C. Lipton; Graham Neubig; William W. Cohen (CoRR, 2020)

TensorLog: A Probabilistic Database Implemented Using Deep-Learning Infrastructure. - William W. Cohen; Fan Yang 058; Kathryn Mazaitis (J. Artif. Intell. Res., 2020)

What's the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions is Difficult. - Avishai Zagoury; Einat Minkov; Idan Szpektor; William W. Cohen (AAAI, 2021)

Investigating the Effect of Background Knowledge on Natural Questions. - Vidhisha Balachandran; Bhuwan Dhingra; Haitian Sun; Michael Collins 001; William W. Cohen (DeeLIO@NAACL-HLT, 2021)

Multilingual Fact Linking. - Keshav Kolluru; Martin Rezk; Pat Verga; William W. Cohen; Partha P. Talukdar (AKBC, 2021)

MATE: Multi-view Attention for Table Transformer Efficiency. - Julian Martin Eisenschlos; Maharshi Gor; Thomas Müller 009; William W. Cohen (EMNLP (1), 2021)

Open Question Answering over Tables and Text. - Wenhu Chen; Ming-Wei Chang; Eva Schlinger; William Yang Wang; William W. Cohen (ICLR, 2021)

Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. - Haitian Sun; Patrick Verga; Bhuwan Dhingra; Ruslan Salakhutdinov; William W. Cohen (ICML, 2021)

Differentiable Open-Ended Commonsense Reasoning. - Bill Yuchen Lin; Haitian Sun; Bhuwan Dhingra; Manzil Zaheer; Xiang Ren 001; William W. Cohen (NAACL-HLT, 2021)

Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge. - Pat Verga; Haitian Sun; Livio Baldini Soares; William W. Cohen (NAACL-HLT, 2021)

End-to-End Multihop Retrieval for Compositional Question Answering over Long Documents. - Haitian Sun; William W. Cohen; Ruslan Salakhutdinov (CoRR, 2021)

Answering Natural-Language Questions with Neuro-Symbolic Knowledge Bases. - Haitian Sun; Pat Verga; William W. Cohen (Neuro-Symbolic Artificial Intelligence, 2021)

Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. - Siddhant Arora; Danish Pruthi; Norman M. Sadeh; William W. Cohen; Zachary C. Lipton; Graham Neubig (AAAI, 2022)

ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers. - Haitian Sun; William W. Cohen; Ruslan Salakhutdinov (ACL (1), 2022)

Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. - Vidhisha Balachandran; Hannaneh Hajishirzi; William W. Cohen; Yulia Tsvetkov (EMNLP, 2022)

MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. - Wenhu Chen; Hexiang Hu; Xi Chen 071; Pat Verga; William W. Cohen (EMNLP, 2022)

Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. - Michiel de Jong; Yury Zemlyanskiy; Nicholas FitzGerald; Fei Sha; William W. Cohen (ICLR, 2022)

Transformer Memory as a Differentiable Search Index. - Yi Tay; Vinh Tran 002; Mostafa Dehghani 001; Jianmo Ni; Dara Bahri; Harsh Mehta; Zhen Qin 001; Kai Hui 001; Zhe Zhao 001; Jai Prakash Gupta 001; Tal Schuster; William W. Cohen; et al. (NeurIPS, 2022)

Reasoning over Logically Interacted Conditions for Question Answering. - Haitian Sun; William W. Cohen; Ruslan Salakhutdinov (CoRR, 2022)

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. - Bernd Bohnet; Vinh Q. Tran 002; Pat Verga; Roee Aharoni; Daniel Andor; Livio Baldini Soares; Jacob Eisenstein; Kuzman Ganchev; Jonathan Herzig; Kai Hui 001; Tom Kwiatkowski; Ji Ma 004; et al. (CoRR, 2022)

Time-Aware Language Models as Temporal Knowledge Bases. - Bhuwan Dhingra; Jeremy R. Cole; Julian Martin Eisenschlos; Daniel Gillick; Jacob Eisenstein; William W. Cohen (Trans. Assoc. Comput. Linguistics, 2022)

Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? - Danish Pruthi; Rachit Bansal; Bhuwan Dhingra; Livio Baldini Soares; Michael Collins 001; Zachary C. Lipton; Graham Neubig; William W. Cohen (Trans. Assoc. Comput. Linguistics, 2022)

QA Is the New KR: Question-Answer Pairs as Knowledge Bases. - William W. Cohen; Wenhu Chen; Michiel de Jong; Nitish Gupta; Alessandro Presta; Pat Verga; John Wieting (AAAI, 2023)

FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. - Michiel de Jong; Yury Zemlyanskiy; Joshua Ainslie; Nicholas FitzGerald; Sumit Sanghai; Fei Sha; William W. Cohen (ACL (Findings), 2023)

Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. - John Wieting; Jonathan H. Clark; William W. Cohen; Graham Neubig; Taylor Berg-Kirkpatrick (ACL (1), 2023)

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. - Wenhu Chen; Pat Verga; Michiel de Jong; John Wieting; William W. Cohen (EACL, 2023)

WinoDict: Probing language models for in-context word acquisition. - Julian Martin Eisenschlos; Jeremy R. Cole; Fangyu Liu 001; William W. Cohen (EACL, 2023)

Re-Imagen: Retrieval-Augmented Text-to-Image Generator. - Wenhu Chen; Hexiang Hu; Chitwan Saharia; William W. Cohen (ICLR, 2023)

Scenario-based Question Answering with Interacting Contextual Properties. - Haitian Sun; William W. Cohen; Ruslan Salakhutdinov (ICLR, 2023)

Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. - Michiel de Jong; Yury Zemlyanskiy; Nicholas FitzGerald; Joshua Ainslie; Sumit Sanghai; Fei Sha; William W. Cohen (ICML, 2023)

Subject-driven Text-to-Image Generation via Apprenticeship Learning. - Wenhu Chen; Hexiang Hu; Yandong Li; Nataniel Ruiz; Xuhui Jia; Ming-Wei Chang; William W. Cohen (NeurIPS, 2023)

GLIMMER: generalized late-interaction memory reranker. - Michiel de Jong; Yury Zemlyanskiy; Nicholas FitzGerald; Sumit Sanghai; William W. Cohen; Joshua Ainslie (CoRR, 2023)

Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions. - Haitian Sun; William W. Cohen; Ruslan Salakhutdinov (CoRR, 2023)

Trusted Source Alignment in Large Language Models. - Vasilisa Bashlovkina; Zhaobin Kuang; Riley Matthews; Edward Clifford; Yennie Jun; William W. Cohen; Simon Baumgartner (CoRR, 2023)

Characterizing Tradeoffs in Language Model Decoding with Informational Interpretations. - Chung-Ching Chang; William W. Cohen; Yun-Hsuan Sung (CoRR, 2023)

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. - Wenhu Chen; Xueguang Ma; Xinyi Wang 003; William W. Cohen (Trans. Mach. Learn. Res., 2023)

Instruct-Imagen: Image Generation with Multi-modal Instruction. - Hexiang Hu; Kelvin C. K. Chan; Yu-Chuan Su; Wenhu Chen; Yandong Li; Kihyuk Sohn; Yang Zhao; Xue Ben; Boqing Gong; William W. Cohen; Ming-Wei Chang; Xuhui Jia (CVPR, 2024)

SEMQA: Semi-Extractive Multi-Source Question Answering. - Tal Schuster; Ádám D. Lelkes; Haitian Sun; Jai Gupta 001; Jonathan Berant; William W. Cohen; Donald Metzler (NAACL-HLT, 2024)

MEMORY-VQ: Compression for Tractable Internet-Scale Memory. - Yury Zemlyanskiy; Michiel de Jong; Luke Vilnis; Santiago Ontañón; William W. Cohen; Sumit Sanghai; Joshua Ainslie (NAACL (Short Papers), 2024)

Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models. - Adam Fisch; Joshua Maynez; R. Alex Hofer; Bhuwan Dhingra; Amir Globerson; William W. Cohen (NeurIPS, 2024)

VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought. - Gabriel Sarch; Lawrence Jang; Michael J. Tarr; William W. Cohen; Kenneth Marino; Katerina Fragkiadaki (NeurIPS, 2024)

Bayesian Prediction-Powered Inference. - R. Alex Hofer; Joshua Maynez; Bhuwan Dhingra; Adam Fisch; Amir Globerson; William W. Cohen (CoRR, 2024)

Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation. - Adam Fisch; Joshua Maynez; R. Alex Hofer; Bhuwan Dhingra; Amir Globerson; William W. Cohen (CoRR, 2024)

ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights. - Gabriel Sarch; Lawrence Jang; Michael J. Tarr; William W. Cohen; Kenneth Marino; Katerina Fragkiadaki (CoRR, 2024)

Watch Your Steps: Observable and Modular Chains of Thought. - Cassandra A. Cohen; William W. Cohen (CoRR, 2024)

CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation. - Jixuan Leng; Chengsong Huang; Langlin Huang; Bill Yuchen Lin; William W. Cohen; Haohan Wang; Jiaxin Huang 001 (CoRR, 2025)

Semi-structured LLM Reasoners Can Be Rigorously Audited. - Jixuan Leng; Cassandra A. Cohen; Zhixian Zhang; Chenyan Xiong; William W. Cohen (CoRR, 2025)