Complete works of Jacob D. Andreas (125)

1. 2010 Corpus Creation for New Genres: A Crowdsourced Approach to PP Attachment · Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk
2. 2010 Towards Semi-Automated Annotation for Prepositional Phrase Attachment · Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)
3. 2011 Fuzzy Syntactic Reordering for Phrase-based Statistical Machine Translation · Proceedings of the Sixth Workshop on Statistical Machine Translation
4. 2012 Annotating Agreement and Disagreement in Threaded Discussion · Proceedings of the Language Resources and Evaluation Conference
5. 2012 Detecting Influencers in Written Online Conversations · Proceedings of the Second Workshop on Language in Social Media
6. 2012 Semantics-Based Machine Translation with Hyperedge Replacement Grammars · Proceedings of COLING 2012
7. 2013 A Generative Model of Vector Space Semantics · Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality
8. 2013 Parsing Graphs with Hyperedge Replacement Grammars · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
9. 2013 Semantic Parsing as Machine Translation · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
10. 2014 Grounding Language with Points and Paths in Continuous Spaces · Proceedings of the Eighteenth Conference on Computational Natural Language Learning
11. 2014 How much do word embeddings encode about syntax? · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
12. 2014 Unsupervised Transcription of Piano Music · Advances in Neural Information Processing Systems (NeurIPS)
13. 2015 Alignment-Based Compositional Semantics for Instruction Following · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
14. 2015 On the Accuracy of Self-Normalized Log-Linear Models · Advances in Neural Information Processing Systems (NeurIPS)
15. 2015 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
16. 2016 Learning to Compose Neural Networks for Question Answering · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
17. 2016 Neural Module Networks · IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
18. 2016 Proceedings of the NAACL Student Research Workshop · Association for Computational Linguistics (proceedings volume co-edited)
19. 2016 Reasoning about Pragmatics with Neural Listeners and Speakers · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
20. 2017 A Minimal Span-Based Neural Constituency Parser · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
21. 2017 Analogs of Linguistic Structure in Deep Representations · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
22. 2017 Learning to Reason: End-to-End Module Networks for Visual Question Answering · IEEE International Conference on Computer Vision (ICCV)
23. 2017 Modeling Relationships in Referential Expressions with Compositional Modular Networks · IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
24. 2017 Modular Multitask Reinforcement Learning with Policy Sketches · International Conference on Machine Learning (ICML)
25. 2017 Proceedings of the First Workshop on Language Grounding for Robotics · Association for Computational Linguistics (proceedings volume co-edited)
26. 2017 Translating Neuralese · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
27. 2018 Explainable Neural Computation via Stack Neural Module Networks · European Conference on Computer Vision (ECCV)
28. 2018 Learning from Language · PhD thesis, University of California, Berkeley
29. 2018 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)
30. 2018 Speaker-Follower Models for Vision-and-Language Navigation · Advances in Neural Information Processing Systems (NeurIPS)
31. 2018 Unified Pragmatic Models for Generating and Following Instructions · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
32. 2019 A Survey of Reinforcement Learning Informed by Natural Language · International Joint Conference on Artificial Intelligence (IJCAI)
33. 2019 Guiding Policies with Language via Meta-Learning · International Conference on Learning Representations (ICLR)
34. 2019 Measuring Compositionality in Representation Learning · International Conference on Learning Representations (ICLR)
35. 2019 Pragmatically Informative Text Generation · 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)
36. 2020 A Benchmark for Systematic Generalization in Grounded Language Understanding · Advances in Neural Information Processing Systems (NeurIPS)
37. 2020 Compositional Explanations of Neurons · Advances in Neural Information Processing Systems (NeurIPS)
38. 2020 Experience Grounds Language · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
39. 2020 Good-Enough Compositional Data Augmentation · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
40. 2020 Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment · Medical Image Computing and Computer Assisted Intervention (MICCAI)
41. 2020 Task-Oriented Dialogue as Dataflow Synthesis · Transactions of the Association for Computational Linguistics, Volume 8
42. 2021 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
43. 2021 How Do Neural Sequence Models Generalize? Local and Global Cues for Out-of-Distribution Prediction · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
44. 2021 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)
45. 2021 Language as a bootstrap for compositional visual reasoning · Annual Meeting of the Cognitive Science Society (CogSci)
46. 2021 Learning to Recombine and Resample Data For Compositional Generalization · International Conference on Learning Representations (ICLR)
47. 2021 Leveraging Language to Learn Program Abstractions and Search Heuristics · International Conference on Machine Learning (ICML)
48. 2021 Lexicon Learning for Few Shot Sequence Modeling · 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)
49. 2021 Multitasking Inhibits Semantic Drift · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
50. 2021 Representing Partial Programs with Blended Abstract Semantics · International Conference on Learning Representations (ICLR)
51. 2021 Teachable Reinforcement Learning via Advice Distillation · Advances in Neural Information Processing Systems (NeurIPS)
52. 2021 The Low-Dimensional Linear Geometry of Contextualized Word Representations · Proceedings of the 25th Conference on Computational Natural Language Learning
53. 2021 Toward a Visual Concept Vocabulary for GAN Latent Space · IEEE International Conference on Computer Vision (ICCV)
54. 2021 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)
55. 2021 What Context Features Can Transformer Language Models Use? · 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)
56. 2022 Correcting Robot Plans with Natural Language Feedback · Robotics: Science and Systems (RSS)
57. 2022 Guided K-best Selection for Semantic Parsing Annotation · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
58. 2022 Hierarchical Phrase-Based Sequence-to-Sequence Learning · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
59. 2022 Identifying concept libraries from language about object structure · Annual Meeting of the Cognitive Science Society (CogSci)
60. 2022 Language Models as Agent Models · Findings of the Association for Computational Linguistics: EMNLP 2022
61. 2022 Modeling Strong and Human-Like Gameplay with KL-Regularized Search · International Conference on Machine Learning (ICML)
62. 2022 Natural Language Descriptions of Deep Visual Features · International Conference on Learning Representations (ICLR)
63. 2022 Pre-Trained Language Models for Interactive Decision-Making · Advances in Neural Information Processing Systems (NeurIPS)
64. 2022 Proceedings of the First Workshop on Learning with Natural Language Supervision · Association for Computational Linguistics (proceedings volume co-edited)
65. 2022 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
66. 2022 Skill Induction and Planning with Latent Language · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
67. 2022 Subspace Regularizers for Few-Shot Class Incremental Learning · International Conference on Learning Representations (ICLR)
68. 2022 Towards Tracing Knowledge in Language Models Back to the Training Data · Findings of the Association for Computational Linguistics: EMNLP 2022
69. 2023 Alignment via Mutual Information · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
70. 2023 Characterizing intrinsic compositionality in transformers with Tree Projections · International Conference on Learning Representations (ICLR)
71. 2023 Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness? · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
72. 2023 FIND: A Function Description Benchmark for Evaluating Interpretability Methods · Advances in Neural Information Processing Systems (NeurIPS)
73. 2023 Grokking of Hierarchical Structure in Vanilla Transformers · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
74. 2023 Guiding Pretraining in Reinforcement Learning with Large Language Models · International Conference on Machine Learning (ICML)
75. 2023 Language Modeling with Latent Situations · Findings of the Association for Computational Linguistics: ACL 2023
76. 2023 LexSym: Compositionality as Lexical Symmetry · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
77. 2023 PromptBoosting: Black-Box Text Classification with Ten Forward Passes · International Conference on Machine Learning (ICML)
78. 2023 Pushdown Layers: Encoding Recursive Structure in Transformer Language Models · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
79. 2023 The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks · Advances in Neural Information Processing Systems (NeurIPS)
80. 2023 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
81. 2023 What learning algorithm is in-context learning? Investigations with linear models · International Conference on Learning Representations (ICLR)
82. 2024 A Multimodal Automated Interpretability Agent · International Conference on Machine Learning (ICML)
83. 2024 Adaptive Language-Guided Abstraction from Contrastive Explanations · Conference on Robot Learning (CoRL)
84. 2024 Algorithmic Capabilities of Random Transformers · Advances in Neural Information Processing Systems 37
85. 2024 Contextual and combinatorial structure in sperm whale vocalisations · Nature Communications
86. 2024 Decision-Oriented Dialogue for Human-AI Collaboration · Transactions of the Association for Computational Linguistics, Volume 12
87. 2024 Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling · International Conference on Machine Learning (ICML)
88. 2024 Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability · Findings of the Association for Computational Linguistics: ACL 2024
89. 2024 In-Context Language Learning: Architectures and Algorithms · International Conference on Machine Learning (ICML)
90. 2024 Interpreting User Requests in the Context of Natural Language Standing Instructions · Findings of the Association for Computational Linguistics: NAACL 2024
91. 2024 Language-to-Code Translation with a Single Labeled Example · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
92. 2024 Learning Grounded Action Abstractions from Language · International Conference on Learning Representations (ICLR)
93. 2024 Learning Phonotactics from Linguistic Informants · Proceedings of the Society for Computation in Linguistics 2024
94. 2024 Learning with Language-Guided State Abstractions · International Conference on Learning Representations (ICLR)
95. 2024 Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling · Findings of the Association for Computational Linguistics ACL 2024
96. 2024 LILO: Learning Interpretable Libraries by Compressing and Documenting Code · International Conference on Learning Representations (ICLR)
97. 2024 Linearity of Relation Decoding in Transformer Language Models · International Conference on Learning Representations (ICLR)
98. 2024 Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling · Annual Meeting of the Cognitive Science Society (CogSci)
99. 2024 MisinfoEval: Generative AI in the Era of “Alternative Facts” · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
100. 2024 Modeling Boundedly Rational Agents with Latent Inference Budgets · International Conference on Learning Representations (ICLR)
101. 2024 Natural Language Decomposition and Interpretation of Complex Utterances · International Joint Conference on Artificial Intelligence (IJCAI) this record
102. 2024 Naturalistic Transmission of Causal Knowledge between Machines and Humans · Annual Meeting of the Cognitive Science Society (CogSci)
103. 2024 Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
104. 2024 Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
105. 2024 The Consensus Game: Language Model Generation via Equilibrium Search · International Conference on Learning Representations (ICLR)
106. 2024 Toward In-Context Teaching: Adapting Examples to Students’ Misconceptions · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
107. 2024 Visual Grounding Helps Learn Word Meanings in Low-Data Regimes · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
108. 2025 (How) Do Language Models Track State? · International Conference on Machine Learning (ICML)
109. 2025 A Hitchhiker's Guide to Scaling Law Estimation · International Conference on Machine Learning (ICML)
110. 2025 A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
111. 2025 Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent · Advances in Neural Information Processing Systems (NeurIPS)
112. 2025 Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models · Transactions of the Association for Computational Linguistics, Volume 13
113. 2025 Eliciting Human Preferences with Language Models · International Conference on Learning Representations (ICLR)
114. 2025 Language and Experience: A Computational Model of Social Learning in Complex Novel Tasks · Annual Meeting of the Cognitive Science Society (CogSci)
115. 2025 Language Modeling with Editable External Knowledge · Findings of the Association for Computational Linguistics: NAACL 2025
116. 2025 Learning How Hard to Think: Input-Adaptive Allocation of LM Computation · International Conference on Learning Representations (ICLR)
117. 2025 Learning Linear Attention in Polynomial Time · Advances in Neural Information Processing Systems (NeurIPS)
118. 2025 LLM Agents for Coordinating Multi-User Information Gathering · Findings of the Association for Computational Linguistics: ACL 2025
119. 2025 LoRA vs Full Fine-tuning: An Illusion of Equivalence · Advances in Neural Information Processing Systems (NeurIPS)
120. 2025 Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models · Annual Meeting of the Cognitive Science Society (CogSci)
121. 2025 The Surprising Effectiveness of Test-Time Training for Few-Shot Learning · International Conference on Machine Learning (ICML)
122. 2026 Modeling Student Learning with 3.8 Million Program Traces · International Conference on Artificial Intelligence in Education (AIED)
123. 2026 Policy Learning with a Language Bottleneck · Transactions on Machine Learning Research
124. 2026 Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts) · Association for Computational Linguistics (proceedings volume co-edited)
125. 2026 ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning · Transactions on Machine Learning Research