Jacob Andreas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
99
Venues
16
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
99 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AIED | Modeling Student Learning with 3.8 Million Program Traces. | Alexis Ross, Megha Srivastava, Jeremiah J. Blanchard, Jacob Andreas |
| 2025 | ACL | LLM Agents for Coordinating Multi-User Information Gathering. | Harsh Jhamtani, Jacob Andreas, Benjamin Van Durme |
| 2025 | CogSci | Language and Experience: A Computational Model of Social Learning in Complex Novel Tasks. | Cdric Colas, Tracey Mills, Ben Prystawski, Michael Henry Tessler, Noah D. Goodman, Jacob Andreas, Joshua B. Tenenbaum |
| 2025 | CogSci | Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models. | Lionel Wong, Katherine M. Collins, Lance Ying, Cedegao E. Zhang, Adrian Weller, Tobias Gerstenberg, Timothy O'Donnell, Alexander K. Lew, Jacob Andreas, Tyler Brooke-Wilson, Joshua B. Tenenbaum |
| 2025 | ICLR | Learning How Hard to Think: Input-Adaptive Allocation of LM Computation. | Mehul Damani, Idan Shenfeld, Andi Peng, Andreea Bobu, Jacob Andreas |
| 2025 | ICLR | Eliciting Human Preferences with Language Models. | Belinda Z. Li, Alex Tamkin, Noah D. Goodman, Jacob Andreas |
| 2025 | ICML | The Surprising Effectiveness of Test-Time Training for Few-Shot Learning. | Ekin Akyrek, Mehul Damani, Adam Zweiger, Linlu Qiu, Han Guo, Jyothish Pari, Yoon Kim, Jacob Andreas |
| 2025 | ICML | A Hitchhiker's Guide to Scaling Law Estimation. | Leshem Choshen, Yang Zhang, Jacob Andreas |
| 2025 | ICML | (How) Do Language Models Track State? | Belinda Z. Li, Zifan Carl Guo, Jacob Andreas |
| 2025 | NAACL | A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation. | Bairu Hou, Yang Zhang, Jacob Andreas, Shiyu Chang |
| 2025 | NAACL | Language Modeling with Editable External Knowledge. | Belinda Z. Li, Emmy Liu, Alexis Ross, Abbas Zeitoun, Graham Neubig, Jacob Andreas |
| 2024 | ACL | Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability. | Afra Feyza Akyrek, Ekin Akyrek, Leshem Choshen, Derry Wijaya, Jacob Andreas |
| 2024 | ACL | Toward In-Context Teaching: Adapting Examples to Students' Misconceptions. | Alexis Ross, Jacob Andreas |
| 2024 | ACL | Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling. | Chengxu Zhuang, Evelina Fedorenko, Jacob Andreas |
| 2024 | CogSci | Naturalistic Transmission of Causal Knowledge between Machines and Humans. | Cdric Colas, Tracey Mills, Ben Prystawski, Michael Henry Tessler, Noah D. Goodman, Jacob Andreas, Josh Tenenbaum |
| 2024 | CogSci | Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling. | Gabriel Grand, Valerio Pepe, Jacob Andreas, Josh Tenenbaum |
| 2024 | CoRL | Adaptive Language-Guided Abstraction from Contrastive Explanations. | Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie Shah, Jacob Andreas, Andreea Bobu |
| 2024 | EMNLP | Language-to-Code Translation with a Single Labeled Example. | Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Benjamin Van Durme, Jason Eisner, Jacob Andreas |
| 2024 | EMNLP | MisinfoEval: Generative AI in the Era of "Alternative Facts". | Saadia Gabriel, Liang Lyu, James Siderius, Marzyeh Ghassemi, Jacob Andreas, Asuman E. Ozdaglar |
| 2024 | ICLR | LILO: Learning Interpretable Libraries by Compressing and Documenting Code. | Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas |
| 2024 | ICLR | Linearity of Relation Decoding in Transformer Language Models. | Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau |
| 2024 | ICLR | Modeling Boundedly Rational Agents with Latent Inference Budgets. | Athul Paul Jacob, Abhishek Gupta, Jacob Andreas |
| 2024 | ICLR | The Consensus Game: Language Model Generation via Equilibrium Search. | Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas |
| 2024 | ICLR | Learning with Language-Guided State Abstractions. | Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah |
| 2024 | ICLR | Learning Grounded Action Abstractions from Language. | Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas |
| 2024 | ICML | In-Context Language Learning: Architectures and Algorithms. | Ekin Akyrek, Bailin Wang, Yoon Kim, Jacob Andreas |
| 2024 | ICML | Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. | Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang |
| 2024 | ICML | A Multimodal Automated Interpretability Agent. | Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba |
| 2024 | IJCAI | Natural Language Decomposition and Interpretation of Complex Utterances. | Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Benjamin Van Durme |
| 2024 | NAACL | Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning. | Athul Paul Jacob, Gabriele Farina, Jacob Andreas |
| 2024 | NAACL | Interpreting User Requests in the Context of Natural Language Standing Instructions. | Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Benjamin Van Durme, Harsh Jhamtani |
| 2024 | NAACL | Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. | Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyrek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim |
| 2024 | NAACL | Visual Grounding Helps Learn Word Meanings in Low-Data Regimes. | Chengxu Zhuang, Evelina Fedorenko, Jacob Andreas |
| 2023 | ACL | LexSym: Compositionality as Lexical Symmetry. | Ekin Akyrek, Jacob Andreas |
| 2023 | ACL | The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. | Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein |
| 2023 | ACL | Language Modeling with Latent Situations. | Belinda Z. Li, Maxwell I. Nye, Jacob Andreas |
| 2023 | ACL | Grokking of Hierarchical Structure in Vanilla Transformers. | Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning |
| 2023 | CoNLL | Alignment via Mutual Information. | Shinjini Ghosh, Yoon Kim, Ramn Fernandez Astudillo, Tahira Naseem, Jacob Andreas |
| 2023 | EMNLP | Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness? | Kevin Liu, Stephen Casper, Dylan Hadfield-Menell, Jacob Andreas |
| 2023 | EMNLP | Pushdown Layers: Encoding Recursive Structure in Transformer Language Models. | Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning |
| 2023 | ICLR | What learning algorithm is in-context learning? Investigations with linear models. | Ekin Akyrek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou |
| 2023 | ICLR | Characterizing intrinsic compositionality in transformers with Tree Projections. | Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning |
| 2023 | ICML | Guiding Pretraining in Reinforcement Learning with Large Language Models. | Yuqing Du, Olivia Watkins, Zihan Wang, Cdric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas |
| 2023 | ICML | PromptBoosting: Black-Box Text Classification with Ten Forward Passes. | Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang |
| 2022 | ACL | Guided K-best Selection for Semantic Parsing Annotation. | Anton Belyy, Chieh-Yang Huang, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Aleksandr Nisnevich, Charles Chen, Benjamin Van Durme |
| 2022 | ACL | Skill Induction and Planning with Latent Language. | Pratyusha Sharma, Antonio Torralba, Jacob Andreas |
| 2022 | CogSci | Identifying concept libraries from language about object structure. | Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Josh Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan |
| 2022 | EMNLP | Towards Tracing Knowledge in Language Models Back to the Training Data. | Ekin Akyrek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu |
| 2022 | EMNLP | Language Models as Agent Models. | Jacob Andreas |
| 2022 | EMNLP | Hierarchical Phrase-Based Sequence-to-Sequence Learning. | Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim |
| 2022 | ICLR | Subspace Regularizers for Few-Shot Class Incremental Learning. | Afra Feyza Akyrek, Ekin Akyrek, Derry Wijaya, Jacob Andreas |
| 2022 | ICLR | Natural Language Descriptions of Deep Visual Features. | Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas |
| 2022 | ICML | Modeling Strong and Human-Like Gameplay with KL-Regularized Search. | Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown |
| 2022 | NAACL | Quantifying Adaptability in Pre-trained Language Models with 500 Tasks. | Belinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas |
| 2021 | ACL | Lexicon Learning for Few Shot Sequence Modeling. | Ekin Akyrek, Jacob Andreas |
| 2021 | ACL | Implicit Representations of Meaning in Neural Language Models. | Belinda Z. Li, Maxwell I. Nye, Jacob Andreas |
| 2021 | ACL | What Context Features Can Transformer Language Models Use? | Joe O'Connor, Jacob Andreas |
| 2021 | ACL | Value-Agnostic Conversational Semantic Parsing. | Emmanouil Antonios Platanios, Adam Pauls, Subhro Roy, Yuchen Zhang, Alexander Kyte, Alan Guo, Sam Thomson, Jayant Krishnamurthy, Jason Andrew Wolfe, Jacob Andreas, Dan Klein |
| 2021 | CogSci | Language as a bootstrap for compositional visual reasoning. | Catherine Wong, Yoni Friedman, Jacob Andreas, Josh Tenenbaum |
| 2021 | CoNLL | The Low-Dimensional Linear Geometry of Contextualized Word Representations. | Evan Hernandez, Jacob Andreas |
| 2021 | EMNLP | How Do Neural Sequence Models Generalize? Local and Global Cues for Out-of-Distribution Prediction. | D. Anthony Bau, Jacob Andreas |
| 2021 | ICCV | Toward a Visual Concept Vocabulary for GAN Latent Space. | Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba |
| 2021 | ICLR | Learning to Recombine and Resample Data For Compositional Generalization. | Ekin Akyrek, Afra Feyza Akyrek, Jacob Andreas |
| 2021 | ICLR | Representing Partial Programs with Blended Abstract Semantics. | Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama |
| 2021 | ICML | Leveraging Language to Learn Program Abstractions and Search Heuristics. | Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas |
| 2021 | NAACL | Multitasking Inhibits Semantic Drift. | Athul Paul Jacob, Mike Lewis, Jacob Andreas |
| 2021 | NAACL | Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention. | Pengcheng Yin, Hao Fang, Graham Neubig, Adam Pauls, Emmanouil Antonios Platanios, Yu Su, Sam Thomson, Jacob Andreas |
| 2020 | ACL | Good-Enough Compositional Data Augmentation. | Jacob Andreas |
| 2020 | EMNLP | Experience Grounds Language. | Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph P. Turian |
| 2020 | MICCAI | Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. | Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland |
| 2019 | ICLR | Measuring Compositionality in Representation Learning. | Jacob Andreas |
| 2019 | ICLR | Guiding Policies with Language via Meta-Learning. | John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, Jacob Andreas, John DeNero, Pieter Abbeel, Sergey Levine |
| 2019 | IJCAI | A Survey of Reinforcement Learning Informed by Natural Language. | Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktschel |
| 2019 | NAACL | Pragmatically Informative Text Generation. | Sheng Shen, Daniel Fried, Jacob Andreas, Dan Klein |
| 2018 | ECCV | Explainable Neural Computation via Stack Neural Module Networks. | Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko |
| 2018 | ICLR | Can Deep Reinforcement Learning solve Erdos-Selfridge-Spencer Games? | Maithra Raghu, Alex Irpan, Jacob Andreas, Robert Kleinberg, Quoc V. Le, Jon M. Kleinberg |
| 2018 | ICML | Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? | Maithra Raghu, Alex Irpan, Jacob Andreas, Robert Kleinberg, Quoc V. Le, Jon M. Kleinberg |
| 2018 | NAACL | Learning with Latent Language. | Jacob Andreas, Dan Klein, Sergey Levine |
| 2018 | NAACL | Unified Pragmatic Models for Generating and Following Instructions. | Daniel Fried, Jacob Andreas, Dan Klein |
| 2017 | ACL | Translating Neuralese. | Jacob Andreas, Anca D. Dragan, Dan Klein |
| 2017 | ACL | A Minimal Span-Based Neural Constituency Parser. | Mitchell Stern, Jacob Andreas, Dan Klein |
| 2017 | CVPR | Modeling Relationships in Referential Expressions with Compositional Modular Networks. | Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko |
| 2017 | EMNLP | Analogs of Linguistic Structure in Deep Representations. | Jacob Andreas, Dan Klein |
| 2017 | ICCV | Learning to Reason: End-to-End Module Networks for Visual Question Answering. | Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko |
| 2017 | ICML | Modular Multitask Reinforcement Learning with Policy Sketches. | Jacob Andreas, Dan Klein, Sergey Levine |
| 2016 | CVPR | Neural Module Networks. | Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein |
| 2016 | EMNLP | Reasoning about Pragmatics with Neural Listeners and Speakers. | Jacob Andreas, Dan Klein |
| 2016 | NAACL | Learning to Compose Neural Networks for Question Answering. | Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein |
| 2015 | EMNLP | Alignment-Based Compositional Semantics for Instruction Following. | Jacob Andreas, Dan Klein |
| 2015 | NAACL | When and why are log-linear models self-normalizing? | Jacob Andreas, Dan Klein |
| 2014 | ACL | How much do word embeddings encode about syntax? | Jacob Andreas, Dan Klein |
| 2014 | CoNLL | Grounding Language with Points and Paths in Continuous Spaces. | Jacob Andreas, Dan Klein |
| 2013 | ACL | A Generative Model of Vector Space Semantics. | Jacob Andreas, Zoubin Ghahramani |
| 2013 | ACL | Semantic Parsing as Machine Translation. | Jacob Andreas, Andreas Vlachos, Stephen Clark |
| 2013 | ACL | Parsing Graphs with Hyperedge Replacement Grammars. | David Chiang, Jacob Andreas, Daniel Bauer, Karl Moritz Hermann, Bevan K. Jones, Kevin Knight |
| 2012 | COLING | Semantics-Based Machine Translation with Hyperedge Replacement Grammars. | Bevan K. Jones, Jacob Andreas, Daniel Bauer, Karl Moritz Hermann, Kevin Knight |
| 2012 | LREC | Annotating Agreement and Disagreement in Threaded Discussion. | Jacob Andreas, Sara Rosenthal, Kathleen R. McKeown |
| 2010 | LREC | Towards Semi-Automated Annotation for Prepositional Phrase Attachment. | Sara Rosenthal, William Lipovsky, Kathleen R. McKeown, Kapil Thadani, Jacob Andreas |
| 2010 | NAACL | Corpus Creation for New Genres: A Crowdsourced Approach to PP Attachment. | Mukund Jha, Jacob Andreas, Kapil Thadani, Sara Rosenthal, Kathleen R. McKeown |