| 2026 | AIED | Who Benefits from LLM-Generated Learning Support Messages? Causal Evidence on Treatment Effect Heterogeneity. | Aylin ztrk, Gati Aher, Tom M. Mitchell, Mustafa Kemal Birgin, Hseyin Kayhan |
| 2025 | EDM | Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally? | Aylin Ozturk, Robin Schmucker, Tom M. Mitchell, Alper Tolga Kumtepe |
| 2024 | AIED | Ruffle &Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. | Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell |
| 2024 | ICLR | SmartPlay : A Benchmark for LLMs as Intelligent Agents. | Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li |
| 2023 | EMNLP | The Internal State of an LLM Knows When It's Lying. | Amos Azaria, Tom M. Mitchell |
| 2023 | IJCNLP | Zero-shot Triplet Extraction by Template Infilling. | Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, Ndapa Nakashole, Tom M. Mitchell |
| 2023 | NeSy | The Roles of Symbols in Neural-based AI: They are Not What You Think! | Daniel L. Silver, Tom M. Mitchell |
| 2022 | ICCE | Transferable Student Performance Modeling for Intelligent Tutoring Systems. | Robin Schmucker, Tom M. Mitchell |
| 2021 | AAAI | Conversational Neuro-Symbolic Commonsense Reasoning. | Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell |
| 2021 | AAAI | We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. | Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell |
| 2021 | CHI | Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. | Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers |
| 2021 | EMNLP | Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. | Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell |
| 2021 | KDD | WIT: Workshop on deriving Insights from user-generated Text. | Estevam Hruschka, Tom M. Mitchell, Marko Grobelnik, Behzad Golshan |
| 2020 | AAAI | Contextual Parameter Generation for Knowledge Graph Link Prediction. | George Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabs Pczos |
| 2020 | ACL | Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations. | Toby Jia-Jun Li, Tom M. Mitchell, Brad A. Myers |
| 2020 | ICLR | Jelly Bean World: A Testbed for Never-Ending Learning. | Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell |
| 2020 | UIST | Multi-Modal Repairs of Conversational Breakdowns in Task-Oriented Dialogs. | Toby Jia-Jun Li, Jingya Chen, Haijun Xia, Tom M. Mitchell, Brad A. Myers |
| 2019 | ACL | Relating Simple Sentence Representations in Deep Neural Networks and the Brain. | Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom M. Mitchell |
| 2019 | EMNLP | Look-up and Adapt: A One-shot Semantic Parser. | Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell |
| 2019 | EMNLP | Learning to Ask for Conversational Machine Learning. | Shashank Srivastava, Igor Labutov, Tom M. Mitchell |
| 2019 | NAACL | Competence-based Curriculum Learning for Neural Machine Translation. | Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabs Pczos, Tom M. Mitchell |
| 2019 | NAACL | Understanding language-elicited EEG data by predicting it from a fine-tuned language model. | Dan Schwartz, Tom M. Mitchell |
| 2019 | UIST | PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. | Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers |
| 2018 | ACL | Zero-shot Learning of Classifiers from Natural Language Quantification. | Shashank Srivastava, Igor Labutov, Tom M. Mitchell |
| 2018 | EMNLP | LIA: A Natural Language Programmable Personal Assistant. | Igor Labutov, Shashank Srivastava, Tom M. Mitchell |
| 2018 | EMNLP | Learning to Learn Semantic Parsers from Natural Language Supervision. | Igor Labutov, Bishan Yang, Tom M. Mitchell |
| 2018 | EMNLP | Contextual Parameter Generation for Universal Neural Machine Translation. | Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell |
| 2017 | ACL | Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. | Bishan Yang, Tom M. Mitchell |
| 2017 | CoNLL | A Probabilistic Generative Grammar for Semantic Parsing. | Abulhair Saparov, Vijay A. Saraswat, Tom M. Mitchell |
| 2017 | EMNLP | Joint Concept Learning and Semantic Parsing from Natural Language Explanations. | Shashank Srivastava, Igor Labutov, Tom M. Mitchell |
| 2017 | EMNLP | A Joint Sequential and Relational Model for Frame-Semantic Parsing. | Bishan Yang, Tom M. Mitchell |
| 2017 | IJCAI | Parsing Natural Language Conversations using Contextual Cues. | Shashank Srivastava, Amos Azaria, Tom M. Mitchell |
| 2017 | SDM | BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. | Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Barnabs Pczos |
| 2016 | AAAI | Instructable Intelligent Personal Agent. | Amos Azaria, Jayant Krishnamurthy, Tom M. Mitchell |
| 2016 | AAAI | Inferring Interpersonal Relations in Narrative Summaries. | Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell |
| 2016 | ICDM | Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. | Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell |
| 2016 | ICML | Estimating Accuracy from Unlabeled Data: A Bayesian Approach. | Emmanouil Antonios Platanios, Avinava Dubey, Tom M. Mitchell |
| 2016 | NAACL | Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua. | Derry Tanti Wijaya, Tom M. Mitchell |
| 2016 | NAACL | Joint Extraction of Events and Entities within a Document Context. | Bishan Yang, Tom M. Mitchell |
| 2016 | RecSys | An Entity Graph Based Recommender System. | Sneha Chaudhari, Amos Azaria, Tom M. Mitchell |
| 2015 | AAAI | 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, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling |
| 2015 | ACL | A Knowledge-Intensive Model for Prepositional Phrase Attachment. | Ndapandula Nakashole, Tom M. Mitchell |
| 2015 | CVPR | Sense discovery via co-clustering on images and text. | Xinlei Chen, Alan Ritter, Abhinav Gupta, Tom M. Mitchell |
| 2015 | EMNLP | Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction. | Matt Gardner, Tom M. Mitchell |
| 2015 | EMNLP | Translation Invariant Word Embeddings. | Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu |
| 2015 | EMNLP | "A Spousal Relation Begins with a Deletion of engage and Ends with an Addition of divorce": Learning State Changing Verbs from Wikipedia Revision History. | Derry Tanti Wijaya, Ndapandula Nakashole, Tom M. Mitchell |
| 2015 | IJCAI | AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand. | Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Tom M. Mitchell |
| 2015 | NAACL | A Compositional and Interpretable Semantic Space. | Alona Fyshe, Leila Wehbe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell |
| 2015 | WWW | Weakly Supervised Extraction of Computer Security Events from Twitter. | Alan Ritter, Evan Wright, William Casey, Tom M. Mitchell |
| 2015 | SDM | Principled Neuro-Functional Connectivity Discovery. | Kejun Huang, Nicholas D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, Partha Pratim Talukdar, Tom M. Mitchell |
| 2014 | ACL | Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning. | Alona Fyshe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell |
| 2014 | ACL | Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar. | Jayant Krishnamurthy, Tom M. Mitchell |
| 2014 | ACL | Language-Aware Truth Assessment of Fact Candidates. | Ndapandula Nakashole, Tom M. Mitchell |
| 2014 | EMNLP | Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases. | Matt Gardner, Partha Pratim Talukdar, Jayant Krishnamurthy, Tom M. Mitchell |
| 2014 | EMNLP | Aligning context-based statistical models of language with brain activity during reading. | Leila Wehbe, Ashish Vaswani, Kevin Knight, Tom M. Mitchell |
| 2014 | EMNLP | CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection. | Derry Tanti Wijaya, Ndapandula Nakashole, Tom M. Mitchell |
| 2014 | FlAIRS | Assuming Facts Are Expressed More Than Once. | Justin Betteridge, Alan Ritter, Tom M. Mitchell |
| 2014 | KDD | Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments. | Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos |
| 2014 | UAI | Estimating Accuracy from Unlabeled Data. | Emmanouil Antonios Platanios, Avrim Blum, Tom M. Mitchell |
| 2014 | SDM | Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x. | Evangelos E. Papalexakis, Christos Faloutsos, Tom M. Mitchell, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Brian Murphy |
| 2013 | ACL | Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models. | Jayant Krishnamurthy, Tom M. Mitchell |
| 2013 | CIKM | PIDGIN: ontology alignment using web text as interlingua. | Derry Wijaya, Partha Pratim Talukdar, Tom M. Mitchell |
| 2013 | CoNLL | Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition. | Alona Fyshe, Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell |
| 2013 | EMNLP | Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues. | Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, Tom M. Mitchell |
| 2012 | CIKM | Acquiring temporal constraints between relations. | Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell |
| 2012 | COLING | Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding. | Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell |
| 2012 | ECAI | Never Ending Learning. | Tom M. Mitchell |
| 2012 | EMNLP | Weakly Supervised Training of Semantic Parsers. | Jayant Krishnamurthy, Tom M. Mitchell |
| 2012 | WSDM | Coupled temporal scoping of relational facts. | Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell |
| 2011 | ACL | Which Noun Phrases Denote Which Concepts? | Jayant Krishnamurthy, Tom M. Mitchell |
| 2011 | EMNLP | Random Walk Inference and Learning in A Large Scale Knowledge Base. | Ni Lao, Tom M. Mitchell, William W. Cohen |
| 2011 | EMNLP | Discovering Relations between Noun Categories. | Thahir Mohamed, Estevam R. Hruschka Jr., Tom M. Mitchell |
| 2011 | Interspeech | Neural Representations of Word Meanings. | Tom M. Mitchell |
| 2010 | AAAI | Toward an Architecture for Never-Ending Language Learning. | Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell |
| 2010 | WSDM | Coupled semi-supervised learning for information extraction. | Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., Tom M. Mitchell |
| 2009 | ACL | Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation. | Kai-min Kevin Chang, Vladimir Cherkassky, Tom M. Mitchell, Marcel Adam Just |
| 2009 | KDD | Search war: a game for improving web search. | Edith Law, Luis von Ahn, Tom M. Mitchell |
| 2008 | ALT | Computational Models of Neural Representations in the Human Brain. | Tom M. Mitchell |
| 2008 | DIS | Computational Models of Neural Representations in the Human Brain. | Tom M. Mitchell |
| 2008 | RECOMB | A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors. | Yanxin Shi, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph |
| 2007 | AMIA | Modeling the fMRI Signal via Hierarchical Clustered Hidden Process Models. | Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao |
| 2007 | IJCAI | A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints. | Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao |
| 2007 | IROS | Feature selection for grasp recognition from optical markers. | Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchell, Eric P. Xing |
| 2007 | ISMB | Continuous hidden process model for time series expression experiments. | Yanxin Shi, Michael Klutstein, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph |
| 2006 | AAAI | Extracting Knowledge about Users' Activities from Raw Workstation Contents. | Tom M. Mitchell, Sophie H. Wang, Yifen Huang, Adam Cheyer |
| 2006 | ICML | Hidden process models. | Rebecca A. Hutchinson, Tom M. Mitchell, Indrayana Rustandi |
| 2006 | SIGIR | Text clustering with extended user feedback. | Yifen Huang, Tom M. Mitchell |
| 2005 | PAKDD | Machine Learning for Analyzing Human Brain Function. | Tom M. Mitchell |
| 2005 | SDM | Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models. | Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao |
| 2004 | EMNLP | Learning to Classify Email into "Speech Acts". | William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell |
| 2003 | AI | Artificial Intelligence and Human Brain Imaging. | Tom M. Mitchell |
| 2003 | AMIA | Classifying Instantaneous Cognitive States from fMRI Data. | Tom M. Mitchell, Rebecca A. Hutchinson, Marcel Adam Just, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang |
| 2001 | KDD | Extracting targeted data from the web. | Tom M. Mitchell |
| 2000 | ICML | Discovering Test Set Regularities in Relational Domains. | Sen Slattery, Tom M. Mitchell |
| 1998 | AAAI | Learning to Extract Symbolic Knowledge from the World Wide Web. | Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Sen Slattery |
| 1998 | AAAI | Learning to Classify Text from Labeled and Unlabeled Documents. | Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell |
| 1998 | COLT | Combining Labeled and Unlabeled Data with Co-Training. | Avrim Blum, Tom M. Mitchell |
| 1998 | ICML | Improving Text Classification by Shrinkage in a Hierarchy of Classes. | Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng |
| 1997 | EPIA | Machine Learning Meets Natural Language. | Tom M. Mitchell |
| 1997 | IJCAI | Web Watcher: A Tour Guide for the World Wide Web. | Thorsten Joachims, Dayne Freitag, Tom M. Mitchell |
| 1996 | AAAI | Challenge Problems for Artificial Intelligence (Panel Statements). | Bart Selman, Rodney A. Brooks, Thomas L. Dean, Eric Horvitz, Tom M. Mitchell, Nils J. Nilsson |
| 1995 | IJCAI | Learning One More Thing. | Sebastian Thrun, Tom M. Mitchell |
| 1993 | GI | Office Automation Systems that are "Programmed" by their Users. | Siegfried Bocionek, Tom M. Mitchell |
| 1993 | ICML | Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches. | Tom M. Mitchell, Sebastian Thrun |
| 1993 | IJCAI | Integrating Inductive Neural Network Learning and Explanation-Based Learning. | Sebastian Thrun, Tom M. Mitchell |
| 1992 | AAAI | A Personal Learning Apprentice. | C. Lisa Dent, Jesus Boticario, John P. McDermott, Tom M. Mitchell, David Zabowski |
| 1991 | ISMIS | Personal Learning Apprentices. | Tom M. Mitchell |
| 1990 | AAAI | Becoming Increasingly Reactive. | Tom M. Mitchell |
| 1990 | ICRA | Learning reliable manipulation strategies without initial physical models. | Alan D. Christiansen, Matthew T. Mason, Tom M. Mitchell |
| 1989 | ICML | On Becoming Reactive. | Jim Blythe, Tom M. Mitchell |
| 1989 | ICML | Experiments in Robot Learning. | Matthew T. Mason, Alan D. Christiansen, Tom M. Mitchell |
| 1989 | ICTAI | Embedding learning in a general frame-based architecture. | Toshikazu Tanaka, Tom M. Mitchell |
| 1985 | IJCAI | LEAP: A Learning Apprentice for VLSI Design. | Tom M. Mitchell, Sridhar Mahadevan, Louis I. Steinberg |
| 1985 | IJCAI | Representation and Use of Explicit Justifications for Knowledge Base Refinements. | Reid G. Smith, Howard A. Winston, Tom M. Mitchell, Bruce G. Buchanan |
| 1984 | DAC | A knowledge based approach to VLSI CAD the redesign system. | Louis I. Steinberg, Tom M. Mitchell |
| 1983 | AAAI | An Intelligent Aid for Circuit Redesign. | Tom M. Mitchell, Louis I. Steinberg, Smadar T. Kedar-Cabelli, Van E. Kelly, Jeffrey S. Shulman, Timothy Weinrich |
| 1983 | IJCAI | Learning and Problem Solving. | Tom M. Mitchell |
| 1982 | AAAI | Acquisition of Appropriate Bias for Inductive Concept Learning. | Paul E. Utgoff, Tom M. Mitchell |
| 1981 | IJCAI | Representations for Reasoning about Digital Circuits. | Tom M. Mitchell, Louis I. Steinberg, Reid G. Smith, Pat Schooley, Howard Jacobs, Van E. Kelly |
| 1981 | IJCAI | Learning Problem-Solving Heuristics Through Practice. | Tom M. Mitchell, Paul E. Utgoff, Bernard Nudel, Ranan B. Banerji |
| 1979 | IJCAI | An Analysis of Generalization as a Search Problem. | Tom M. Mitchell |
| 1977 | IJCAI | Version Spaces: A Candidate Elimination Approach to Rule Learning. | Tom M. Mitchell |
| 1977 | IJCAI | A Model for Learning Systems. | Reid G. Smith, Tom M. Mitchell, R. A. Chestek, Bruce G. Buchanan |