Tom M. Mitchell

ORCID

Publication Activity (10 Years)

Years Active: 1977-2024
Publications (10 Years): 105

Top Venues

Publications

Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell
Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. CoRR (2024)
Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li
SmartPlay : A Benchmark for LLMs as Intelligent Agents. ICLR (2024)
Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell
Ruffle&Riley: From Lesson Text to Conversational Tutoring. L@S (2024)
Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. L@S (2024)
Yue Wu, Yewen Fan, So Yeon Min, Shrimai Prabhumoye, Stephen McAleer, Yonatan Bisk, Ruslan Salakhutdinov, Yuanzhi Li, Tom M. Mitchell
AgentKit: Flow Engineering with Graphs, not Coding. CoRR (2024)
Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell
Ruffle &Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. AIED (1) (2024)
Pouya Pezeshkpour, Eser Kandogan, Nikita Bhutani, Sajjadur Rahman, Tom M. Mitchell, Estevam Hruschka
Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions. CoRR (2024)
Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. CoRR (2024)
Daniel L. Silver, Tom M. Mitchell
The Roles of Symbols in Neural-based AI: They are Not What You Think! NeSy (2023)
Daniel L. Silver, Tom M. Mitchell
The Roles of Symbols in Neural-based AI: They are Not What You Think! CoRR (2023)
Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell
Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems. CoRR (2023)
Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, Ndapa Nakashole, Tom M. Mitchell
Zero-shot Triplet Extraction by Template Infilling. IJCNLP (1) (2023)
Amos Azaria, Tom M. Mitchell
The Internal State of an LLM Knows When It's Lying. EMNLP (Findings) (2023)
Amos Azaria, Tom M. Mitchell
The Internal State of an LLM Knows When its Lying. CoRR (2023)
Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. CoRR (2023)
Robin Schmucker, Nimish Pachapurkar, Bala Shanmugam, Miral Shah, Tom M. Mitchell
Learning to Give Useful Hints: Assistance Action Evaluation and Policy Improvements. EC-TEL (2023)
Yue Wu, Shrimai Prabhumoye, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li
SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning. CoRR (2023)
Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li
SmartPlay : A Benchmark for LLMs as Intelligent Agents. CoRR (2023)
Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. NeurIPS (2023)
Yue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Russ Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li
SPRING: Studying Papers and Reasoning to play Games. NeurIPS (2023)
Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Yuanzhi Li, Tom M. Mitchell, Shrimai Prabhumoye
Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents. CoRR (2023)
Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell
Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election. WebSci (2022)
Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell
Harnessing Unsupervised Word Translation to Address Resource Inequality for Peace and Health. SocInfo (2022)
Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell
Gender bias, social bias, and representation in Bollywood and Hollywood. Patterns 3 (4) (2022)
Robin Schmucker, Tom M. Mitchell
Transferable Student Performance Modeling for Intelligent Tutoring Systems. CoRR (2022)
Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell
ollywood. Patterns 3 (2) (2022)
Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell
ollywood. Patterns 3 (2) (2022)
Mariya Toneva, Tom M. Mitchell, Leila Wehbe
Combining computational controls with natural text reveals aspects of meaning composition. Nat. Comput. Sci. 2 (11) (2022)
Abulhair Saparov, Tom M. Mitchell
Towards General Natural Language Understanding with Probabilistic Worldbuilding. Trans. Assoc. Comput. Linguistics 10 (2022)
Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. EMNLP (1) (2021)
Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell
Conversational Neuro-Symbolic Commonsense Reasoning. AAAI (2021)
Abulhair Saparov, Tom M. Mitchell
A Generative Symbolic Model for More General Natural Language Understanding and Reasoning. CoRR (2021)
Estevam Hruschka, Tom M. Mitchell, Marko Grobelnik, Behzad Golshan
WIT: Workshop on deriving Insights from user-generated Text. KDD (2021)
Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. CHI (2021)
Tom M. Mitchell
Can We Replace Programming Languages by Natural Instruction? WI/IAT (2021)
Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell
Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election. CoRR (2021)
Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell
Gender Bias, Social Bias and Representation: 70 Years of B$^H$ollywood. CoRR (2021)
Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. CoRR (2021)
Robin Schmucker, Jingbo Wang, Shijia Hu, Tom M. Mitchell
Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy. CoRR (2021)
Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. CoRR (2021)
Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. AAAI (2021)
Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos
Coarse-to-Fine Curriculum Learning. CoRR (2021)
Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell
Jelly Bean World: A Testbed for Never-Ending Learning. CoRR (2020)
Amos Azaria, Shashank Srivastava, Jayant Krishnamurthy, Igor Labutov, Tom M. Mitchell
An agent for learning new natural language commands. Auton. Agents Multi Agent Syst. 34 (1) (2020)
Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. CoRR (2020)
Eric Horvitz, Tom M. Mitchell
From Data to Knowledge to Action: A Global Enabler for the 21st Century. CoRR (2020)
Toby Jia-Jun Li, Tom M. Mitchell, Brad A. Myers
Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations. ACL (demo) (2020)
Emmanouil Antonios Platanios, Maruan Al-Shedivat, Eric P. Xing, Tom M. Mitchell
Learning from Imperfect Annotations. CoRR (2020)
Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell
Jelly Bean World: A Testbed for Never-Ending Learning. ICLR (2020)
Toby Jia-Jun Li, Jingya Chen, Haijun Xia, Tom M. Mitchell, Brad A. Myers
Multi-Modal Repairs of Conversational Breakdowns in Task-Oriented Dialogs. UIST (2020)
Toby Jia-Jun Li, Jingya Chen, Tom M. Mitchell, Brad A. Myers
Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents. CoRR (2020)
George Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos
Contextual Parameter Generation for Knowledge Graph Link Prediction. AAAI (2020)
Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell
Discovering Bilingual Lexicons in Polyglot Word Embeddings. CoRR (2020)
Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. CoRR (2020)
Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. NeurIPS (2020)
Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell
Conversational Neuro-Symbolic Commonsense Reasoning. CoRR (2020)
Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. CoRR (2019)
Dan Schwartz, Tom M. Mitchell
Understanding language-elicited EEG data by predicting it from a fine-tuned language model. CoRR (2019)
Fan Yang, Liu Leqi, Yifan Wu, Zachary C. Lipton, Pradeep Ravikumar, William W. Cohen, Tom M. Mitchell
Game Design for Eliciting Distinguishable Behavior. CoRR (2019)
Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom M. Mitchell
Relating Simple Sentence Representations in Deep Neural Networks and the Brain. ACL (1) (2019)
Mrinmaya Sachan, Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing
Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks. Comput. Linguistics 45 (4) (2019)
Igor Labutov, Bishan Yang, Tom M. Mitchell
Learning to Learn Semantic Parsers from Natural Language Supervision. CoRR (2019)
Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. UIST (2019)
Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell
Look-up and Adapt: A One-shot Semantic Parser. CoRR (2019)
Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell
Look-up and Adapt: A One-shot Semantic Parser. EMNLP/IJCNLP (1) (2019)
Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing
Learning Data Manipulation for Augmentation and Weighting. NeurIPS (2019)
Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell
Competence-based Curriculum Learning for Neural Machine Translation. NAACL-HLT (1) (2019)
Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing
Learning Data Manipulation for Augmentation and Weighting. CoRR (2019)
Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. 31 (12) (2019)
Fan Yang, Liu Leqi, Yifan Wu, Zachary Chase Lipton, Pradeep Ravikumar, Tom M. Mitchell, William W. Cohen
Game Design for Eliciting Distinguishable Behavior. NeurIPS (2019)
Shashank Srivastava, Igor Labutov, Tom M. Mitchell
Learning to Ask for Conversational Machine Learning. EMNLP/IJCNLP (1) (2019)
Dan Schwartz, Tom M. Mitchell
Understanding language-elicited EEG data by predicting it from a fine-tuned language model. NAACL-HLT (1) (2019)
Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell
Competence-based Curriculum Learning for Neural Machine Translation. CoRR (2019)
Bishan Yang, Tom M. Mitchell
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. CoRR (2019)
Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell
Contextual Parameter Generation for Universal Neural Machine Translation. EMNLP (2018)
Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt 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
Never-ending learning. Commun. ACM 61 (5) (2018)
Igor Labutov, Shashank Srivastava, Tom M. Mitchell
LIA: A Natural Language Programmable Personal Assistant. EMNLP (Demonstration) (2018)
Mrinmaya Sachan, Kumar Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing
Discourse in Multimedia: A Case Study in Information Extraction. CoRR (2018)
Shashank Srivastava, Igor Labutov, Tom M. Mitchell
Zero-shot Learning of Classifiers from Natural Language Quantification. ACL (1) (2018)
Toby Jia-Jun Li, Igor Labutov, Xiaohan Nancy Li, Xiaoyi Zhang, Wenze Shi, Wanling Ding, Tom M. Mitchell, Brad A. Myers
APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions. VL/HCC (2018)
Igor Labutov, Bishan Yang, Tom M. Mitchell
Learning to Learn Semantic Parsers from Natural Language Supervision. EMNLP (2018)
Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell
Contextual Parameter Generation for Universal Neural Machine Translation. CoRR (2018)
Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P. Xing
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems. NeurIPS (2018)
Bishan Yang, Tom M. Mitchell
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. ACL (1) (2017)
Bishan Yang, Tom M. Mitchell
A Joint Sequential and Relational Model for Frame-Semantic Parsing. EMNLP (2017)
Sneha Chaudhari, Amos Azaria, Tom M. Mitchell
An entity graph based Recommender System. AI Commun. 30 (2) (2017)
Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Barnabás Póczos
BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. SDM (2017)
Shashank Srivastava, Igor Labutov, Tom M. Mitchell
Joint Concept Learning and Semantic Parsing from Natural Language Explanations. EMNLP (2017)
Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. CoRR (2017)
Jerónimo Hernández-González, Estevam R. Hruschka Jr., Tom M. Mitchell
Merging knowledge bases in different languages. TextGraphs@ACL (2017)
Abulhair Saparov, Vijay A. Saraswat, Tom M. Mitchell
A Probabilistic Generative Grammar for Semantic Parsing. CoNLL (2017)
Shashank Srivastava, Amos Azaria, Tom M. Mitchell
Parsing Natural Language Conversations using Contextual Cues. IJCAI (2017)
Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. NIPS (2017)
Emmanouil Antonios Platanios, Avinava Dubey, Tom M. Mitchell
Estimating Accuracy from Unlabeled Data: A Bayesian Approach. ICML (2016)
Ndapandula Nakashole, Tom M. Mitchell
Machine Reading with Background Knowledge. CoRR (2016)
Bishan Yang, Tom M. Mitchell
Joint Extraction of Events and Entities within a Document Context. CoRR (2016)
Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy
Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications. Stat. Anal. Data Min. 9 (4) (2016)
Amos Azaria, Jayant Krishnamurthy, Tom M. Mitchell
Instructable Intelligent Personal Agent. AAAI (2016)
Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. ICDM (2016)
Sneha Chaudhari, Amos Azaria, Tom M. Mitchell
An Entity Graph Based Recommender System. RecSys Posters (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tom M. Mitchell