🧑‍🔬 Jacob Andreas — all works

62 works · ← Jacob Andreas

1. Neural Module NetworksIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.2015 · 1,140 citations
2. Learning to Reason: End-to-End Module Networks for Visual Question Answering ↗arXiv:1704.05526 · no summary yetRonghang Hu et al.2017 · 621 citations
3. Learning to Compose Neural Networks for Question AnsweringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.2016 · 573 citations
4. Experience Grounds LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.2020 · 439 citations
5. Modeling Relationships in Referential Expressions with Compositional Modular Networks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRonghang Hu et al.2017 · 415 citations
6. Speaker-Follower Models for Vision-and-Language Navigation ↗arXiv:1806.02724 · no summary yetDaniel Fried et al.2018 · 343 citations
7. Good-Enough Compositional Data AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Jacob Andreas2020 · 313 citations
8. A Minimal Span-Based Neural Constituency ParserAnnual Meeting of the Association for Computational Linguistics (ACL)Mitchell Stern, Jacob Andreas, Dan Klein2017 · 311 citations
9. Modular Multitask Reinforcement Learning with Policy Sketches ↗arXiv (Cornell University) · no summary yetJacob Andreas, Dan Klein, Sergey Levine2016 · 238 citations
10. What learning algorithm is in-context learning? Investigations with linear modelsarXiv:2211.15661Ekin Akyürek, Dale Schuurmans, Jacob Andreas, et al.2022 · 236 citations
11. A Survey of Reinforcement Learning Informed by Natural Language ↗arXiv:1906.03926 · no summary yetJelena Luketina et al.2019 · 231 citations
12. Reasoning about Pragmatics with Neural Listeners and SpeakersConference on Empirical Methods in Natural Language Processing (EMNLP)Jacob Andreas, Dan Klein2016 · 205 citations
13. Semantics-Based Machine Translation with Hyperedge Replacement GrammarsBevan Jones, Jacob Andreas, Daniel Bauer, et al.Machine translation · 180 citations
14. Implicit Representations of Meaning in Neural Language Models ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetBelinda Z. Li, Maxwell Nye, Jacob Andreas2021 · 175 citations
15. Language Models as Agent ModelsFindings of the Association for Computational LinguisticsJacob Andreas2022 · 165 citations
16. Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks ↗arXiv:2307.02477 · no summary yetZhaofeng Wu et al.2023 · 139 citations
17. Pre-Trained Language Models for Interactive Decision-Making ↗arXiv:2202.01771 · no summary yetShuang Li et al.2022 · 124 citations
18. Semantic Parsing as Machine Translation ↗Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetJacob Andreas, Andreas Vlachos, Stephen Clark2013 · 123 citations
19. Task-Oriented Dialogue as Dataflow SynthesisTransactions of the Association for Computational Linguistics (TACL)Jacob Andreas, John Bufe, David Burkett, et al.2020 · 121 citations
20. Learning with Latent Language ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetJacob Andreas, Dan Klein, Sergey Levine2018 · 121 citations
21. Inspecting and Editing Knowledge Representations in Language Models ↗arXiv:2304.00740 · no summary yetEvan Hernandez, Belinda Z. Li, Jacob Andreas2023 · 115 citations
22. Unified Pragmatic Models for Generating and Following InstructionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Daniel Fried, Jacob Andreas, Dan Klein2018 · 115 citations
23. Alignment-Based Compositional Semantics for Instruction Following ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetJacob Andreas, Dan Klein2015 · 114 citations
24. Linearity of Relation Decoding in Transformer Language Models ↗arXiv:2308.09124 · no summary yetEvan Hernandez et al.2023 · 82 citations
25. Pragmatically Informative Text GenerationSheng Shen, Daniel Fried, Jacob Andreas, et al.English · 78 citations
26. Guiding Pretraining in Reinforcement Learning with Large Language Models ↗arXiv:2302.06692 · no summary yetYuqing Du et al.2023 · 77 citations
27. What Context Features Can Transformer Language Models Use?Annual Meeting of the Association for Computational Linguistics (ACL)Joe O'Connor, Jacob Andreas2021 · 77 citations
28. How much do word embeddings encode about syntax? ↗Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetJacob Andreas, Dan Klein2014 · 77 citations
29. Skill Induction and Planning with Latent Language ↗arXiv:2110.01517 · no summary yetPratyusha Sharma, Antonio Torralba, Jacob Andreas2021 · 73 citations
30. Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetPengcheng Yin et al.2021 · 72 citations
31. ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement LearningarXiv:2504.01296Bairu Hou, Yang Zhang, Jiabao Ji, et al.2025 · 67 citations
32. Decision-Oriented Dialogue for Human-AI CollaborationTransactions of the Association for Computational Linguistics (TACL)Jessy Lin, Nicholas Tomlin, Jacob Andreas, et al.2024 · 57 citations
33. When and why are log-linear models self-normalizing? ↗Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetJacob Andreas, Dan Klein2015 · 55 citations
34. Translating Neuralese ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJacob Andreas, Anca Dragan, Dan Klein2017 · 54 citations
35. Characterizing Intrinsic Compositionality in Transformers with Tree Projections ↗arXiv (Cornell University) · no summary yetShikhar Murty et al.2022 · 43 citations
36. Grokking of Hierarchical Structure in Vanilla Transformers ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetShikhar Murty et al.2023 · 39 citations
37. In-Context Language Learning: Architectures and Algorithms ↗arXiv (Cornell University) · no summary yetEkin Akyürek et al.2024 · 37 citations
38. The Surprising Effectiveness of Test-Time Training for Few-Shot Learning ↗arXiv:2411.07279 · no summary yetEkin Akyürek et al.2024 · 36 citations
39. Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty ↗arXiv (Cornell University) · no summary yetMehul Damani et al.2025 · 24 citations
40. Value-Agnostic Conversational Semantic Parsing ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetEmmanouil Antonios Platanios et al.2021 · 23 citations
41. Learning How Hard to Think: Input-Adaptive Allocation of LM Computation ↗arXiv:2410.04707 · no summary yetMehul Damani et al.2024 · 22 citations
42. Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? ↗arXiv (Cornell University) · no summary yetMaithra Raghu et al.2017 · 21 citations
43. Grounding Language with Points and Paths in Continuous Spaces ↗Proceedings of the Eighteenth Conference on Computational Natural Language Learning · no summary yetJacob Andreas, Dan Klein2014 · 21 citations
44. Pushdown Layers: Encoding Recursive Structure in Transformer Language Models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetShikhar Murty et al.2023 · 16 citations
45. Quantifying Adaptability in Pre-trained Language Models with 500 Tasks ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetBelinda Li et al.2022 · 15 citations
46. On the accuracy of self-normalized log-linear models ↗arXiv (Cornell University) · no summary yetJacob Andreas et al.2015 · 15 citations
47. A Probabilistic Framework for LLM Hallucination Detection via Belief Tree PropagationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bairu Hou, Yang Zhang, Jacob Andreas, et al.2025 · 12 citations
48. An Incomplete Loop: Deductive, Inductive, and Abductive Reasoning in Language ModelsarXiv:2404.03028Emmy Liu, Graham Neubig, Jacob Andreas2024 · 12 citations
49. Analogs of Linguistic Structure in Deep Representations ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetJacob Andreas, Dan Klein2017 · 10 citations
50. Fuzzy Syntactic Reordering for Phrase-based Statistical Machine Translation ↗Proceedings of the Sixth Workshop on Statistical Machine Translation · no summary yetJacob Andreas, Nizar Habash, Owen Rambow2011 · 10 citations
51. Towards Semi-Automated Annotation for Prepositional Phrase AttachmentSara Rosenthal, William Lipovsky, Kathleen McKeown, et al.English · 10 citations
52. Hierarchical Phrase-Based Sequence-to-Sequence Learning ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetBailin Wang et al.2022 · 9 citations
53. Bayesian Preference Elicitation with Language Models ↗arXiv:2403.05534 · no summary yetKunal Handa et al.2024 · 8 citations
54. Training Language Models to Explain Their Own Computations ↗arXiv (Cornell University) · no summary yetBelinda Z. Li et al.2025 · 7 citations
55. The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetHao Fang et al.2023 · 6 citations
56. Language Modeling with Editable External Knowledge ↗Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yetBelinda Z. Li et al.2025 · 4 citations
57. ELF: Embedded Language Flows ↗arXiv (Cornell University) · no summary yetKeya Hu et al.2026 · 3 citations
58. ARC Is a Vision Problem! ↗arXiv (Cornell University) · no summary yetHu, Keya et al.2025 · 3 citations
59. Regularized Conventions: Equilibrium Computation as a Model of Pragmatic ReasoningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Athul Jacob, Gabriele Farina, Jacob Andreas2024 · 1 citation
60. Alignment via Mutual Information ↗Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL) · no summary yetShinjini Ghosh et al.2023 · 1 citation
61. ExperienceIndex: Artifact-Grounded Memory ↗arXiv (Cornell University) · no summary yetPeter Baile Chen et al.2026
62. Teachable Reinforcement Learning via Advice Distillation ↗arXiv (Cornell University) · no summary yetOlivia Watkins et al.2022

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