🧑‍🔬 Tom M. Mitchell — all works

29 works · ← Tom M. Mitchell

1. Combining Labeled and Unlabeled Data with Co-TrainingCOLT 1998Avrim Blum, Tom Mitchell1998 · 5,857 citations
2. Text Classification from Labeled and Unlabeled Documents using EMMachine LearningKamal Nigam, Andrew McCallum, Sebastian Thrun, et al.2000 · 2,862 citations
3. Competence-based Curriculum Learning for Neural Machine Translation ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetEmmanouil Antonios Platanios et al.2019 · 447 citations
4. The Internal State of an LLM Knows When It's LyingFindings of the Association for Computational LinguisticsAmos Azaria, Tom Mitchell2023 · 435 citations
5. Joint Extraction of Events and Entities within a Document ContextConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bishan Yang, Tom M. Mitchell2016 · 317 citations
6. Leveraging Knowledge Bases in LSTMs for Improving Machine Reading ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetBishan Yang, Tom Mitchell2017 · 311 citations
7. Learning to Classify Email into “Speech Acts”Conference on Empirical Methods in Natural Language Processing (EMNLP)William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell2004 · 264 citations
8. Contextual Parameter Generation for Universal Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, et al.2018 · 206 citations
9. Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetMatt Gardner, Tom Mitchell2015 · 179 citations
10. Aligning context-based statistical models of language with brain activity during reading ↗Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetLeila Wehbe et al.2014 · 122 citations
11. Joint Concept Learning and Semantic Parsing from Natural Language Explanations ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetShashank Srivastava, Igor Labutov, Tom Mitchell2017 · 99 citations
12. A Joint Sequential and Relational Model for Frame-Semantic ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Bishan Yang, Tom Mitchell2017 · 98 citations
13. Instructable Intelligent Personal Agent ↗AAAI 2016 · no summary yetAmos Azaria, Jayant Krishnamurthy, Tom M. Mitchell2016 · 82 citations
14. Learning Data Manipulation for Augmentation and Weighting ↗arXiv (Cornell University) · no summary yetZhiting Hu et al.2019 · 79 citations
15. Weakly Supervised Training of Semantic ParsersConference on Empirical Methods in Natural Language Processing (EMNLP)Jayant Krishnamurthy, Tom Mitchell2012 · 70 citations
16. SmartPlay: A Benchmark for LLMs as Intelligent Agents ↗arXiv (Cornell University) · no summary yetYue Wu et al.2023 · 41 citations
17. Learning a Compositional Semantics for Freebase with an Open Predicate VocabularyTransactions of the Association for Computational Linguistics (TACL)Jayant Krishnamurthy, Tom M. Mitchell2015 · 41 citations
18. Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks ↗Computational Linguistics · no summary yetMrinmaya Sachan et al.2019 · 28 citations
19. Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems ↗neural information processing systems · no summary yetMrinmaya Sachan et al.2018 · 22 citations
20. Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach ↗arXiv (Cornell University) · no summary yetEmmanouil Antonios Platanios et al.2017 · 21 citations
21. Plan, Eliminate, and Track — Language Models are Good Teachers for Embodied Agents ↗arXiv (Cornell University) · no summary yetYue Wu et al.2023 · 20 citations
22. Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals ↗neural information processing systems · no summary yetYue Wu et al.2023 · 20 citations
23. SPRING: Studying the Paper and Reasoning to Play Games ↗arXiv (Cornell University) · no summary yetYue Wu et al.2023 · 19 citations
24. Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua ↗Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetDerry Tanti Wijaya, Tom M. Mitchell2016 · 11 citations
25. SPRING: Studying Papers and Reasoning to play Games ↗neural information processing systems · no summary yetYue Wu et al.2023 · 6 citations
26. AgentKit: Structured LLM Reasoning with Dynamic Graphs ↗arXiv (Cornell University) · no summary yetYue Wu et al.2024 · 5 citations
27. A comparative analysis of chunking and decision-analytic control ↗no summary yetOren Etzioni, Tom M. Mitchell1993 · 3 citations
28. SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding ↗arXiv (Cornell University) · no summary yetRenos Zabounidis et al.2026
29. Discourse in Multimedia: A Case Study in Information Extraction ↗arXiv (Cornell University) · no summary yetMrinmaya Sachan et al.2018

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