Jacob Andreas

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 170

Top Venues

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Chengxu Zhuang, Evelina Fedorenko, Jacob Andreas
Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling. ACL (Findings) (2024)
Chengxu Zhuang, Evelina Fedorenko, Jacob Andreas
Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling. CoRR (2024)
Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas
Policy Learning with a Language Bottleneck. CoRR (2024)
Chengxu Zhuang, Evelina Fedorenko, Jacob Andreas
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes. NAACL-HLT (2024)
Canaan Breiss, Alexis Ross, Amani Maina-Kilaas, Roger Levy, Jacob Andreas
Learning Phonotactics from Linguistic Informants. CoRR (2024)
Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah
Learning with Language-Guided State Abstractions. ICLR (2024)
Gabriel Grand, Valerio Pepe, Jacob Andreas, Joshua B. Tenenbaum
Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling. CoRR (2024)
Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin, Unnathi Kumar, Setayesh Radkani, Thomas Hikaru Clark, Carina Kauf, Jennifer Hu, R. T. Pramod, Gabriel Grand, Vivian C. Paulun, Maria Ryskina, Ekin Akyürek, Ethan Wilcox, Nafisa Rashid, Leshem Choshen, Roger Levy, Evelina Fedorenko, Joshua B. Tenenbaum, Jacob Andreas
Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models. CoRR (2024)
Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas
LILO: Learning Interpretable Libraries by Compressing and Documenting Code. ICLR (2024)
Ekin Akyürek, Bailin Wang, Yoon Kim, Jacob Andreas
In-Context Language Learning: Architectures and Algorithms. CoRR (2024)
Athul Paul Jacob, Abhishek Gupta, Jacob Andreas
Modeling Boundedly Rational Agents with Latent Inference Budgets. ICLR (2024)
Emmy Liu, Graham Neubig, Jacob Andreas
An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models. CoRR (2024)
Alexis Ross, Jacob Andreas
Toward In-Context Teaching: Adapting Examples to Students' Misconceptions. ACL (1) (2024)
Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. NAACL-HLT (2024)
Kunal Handa, Yarin Gal, Ellie Pavlick, Noah D. Goodman, Jacob Andreas, Alex Tamkin, Belinda Z. Li
Bayesian Preference Elicitation with Language Models. CoRR (2024)
Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas
The Consensus Game: Language Model Generation via Equilibrium Search. ICLR (2024)
Afra Feyza Akyürek, Ekin Akyürek, Leshem Choshen, Derry Wijaya, Jacob Andreas
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability. CoRR (2024)
Achyuta Rajaram, Neil Chowdhury, Antonio Torralba, Jacob Andreas, Sarah Schwettmann
Automatic Discovery of Visual Circuits. CoRR (2024)
Athul Paul Jacob, Gabriele Farina, Jacob Andreas
Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning. NAACL-HLT (2024)
Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie A. Shah
Learning with Language-Guided State Abstractions. CoRR (2024)
Alexis Ross, Jacob Andreas
Toward In-Context Teaching: Adapting Examples to Students' Misconceptions. CoRR (2024)
Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas
Learning Grounded Action Abstractions from Language. ICLR (2024)
Bairu Hou, Yang Zhang, Jacob Andreas, Shiyu Chang
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation. CoRR (2024)
Belinda Z. Li, Emmy Liu, Alexis Ross, Abbas Zeitoun, Graham Neubig, Jacob Andreas
Language Modeling with Editable External Knowledge. CoRR (2024)
Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba
A Multimodal Automated Interpretability Agent. CoRR (2024)
Afra Feyza Akyürek, Ekin Akyürek, Leshem Choshen, Derry Wijaya, Jacob Andreas
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability. ACL (Findings) (2024)
Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau
Linearity of Relation Decoding in Transformer Language Models. ICLR (2024)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Pushdown Layers: Encoding Recursive Structure in Transformer Language Models. EMNLP (2023)
Eric Chu, Jacob Andreas, Stephen Ansolabehere, Deb Roy
Language Models Trained on Media Diets Can Predict Public Opinion. CoRR (2023)
Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang
PromptBoosting: Black-Box Text Classification with Ten Forward Passes. ICML (2023)
Athul Paul Jacob, Abhishek Gupta, Jacob Andreas
Modeling Boundedly Rational Agents with Latent Inference Budgets. CoRR (2023)
Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas
Guiding Pretraining in Reinforcement Learning with Large Language Models. ICML (2023)
Ekin Akyürek, Jacob Andreas
LexSym: Compositionality as Lexical Symmetry. ACL (1) (2023)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Grokking of Hierarchical Structure in Vanilla Transformers. CoRR (2023)
Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. CoRR (2023)
Belinda Z. Li, William Chen, Pratyusha Sharma, Jacob Andreas
LaMPP: Language Models as Probabilistic Priors for Perception and Action. CoRR (2023)
Shinjini Ghosh, Yoon Kim, Ramón Fernandez Astudillo, Tahira Naseem, Jacob Andreas
Alignment via Mutual Information. CoNLL (2023)
Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas
Guiding Pretraining in Reinforcement Learning with Large Language Models. CoRR (2023)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Grokking of Hierarchical Structure in Vanilla Transformers. ACL (2) (2023)
Kevin Liu, Stephen Casper, Dylan Hadfield-Menell, Jacob Andreas
Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness? CoRR (2023)
Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau
Linearity of Relation Decoding in Transformer Language Models. CoRR (2023)
Evan Hernandez, Belinda Z. Li, Jacob Andreas
Measuring and Manipulating Knowledge Representations in Language Models. CoRR (2023)
Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Benjamin Van Durme
Natural Language Decomposition and Interpretation of Complex Utterances. CoRR (2023)
Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. ACL (Findings) (2023)
Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. CoRR (2023)
Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas
The Consensus Game: Language Model Generation via Equilibrium Search. CoRR (2023)
Belinda Z. Li, Alex Tamkin, Noah D. Goodman, Jacob Andreas
Eliciting Human Preferences with Language Models. CoRR (2023)
Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Benjamin Van Durme, Harsh Jhamtani
Interpreting User Requests in the Context of Natural Language Standing Instructions. CoRR (2023)
Belinda Z. Li, Maxwell I. Nye, Jacob Andreas
Language Modeling with Latent Situations. ACL (Findings) (2023)
Chengxu Zhuang, Evelina Fedorenko, Jacob Andreas
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes. CoRR (2023)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Pushdown Layers: Encoding Recursive Structure in Transformer Language Models. CoRR (2023)
Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks. CoRR (2023)
Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou
What learning algorithm is in-context learning? Investigations with linear models. ICLR (2023)
Lionel Wong, Gabriel Grand, Alexander K. Lew, Noah D. Goodman, Vikash K. Mansinghka, Jacob Andreas, Joshua B. Tenenbaum
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought. CoRR (2023)
Shawn Im, Jacob Andreas, Yilun Zhou
Evaluating the Utility of Model Explanations for Model Development. CoRR (2023)
Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba
A Function Interpretation Benchmark for Evaluating Interpretability Methods. CoRR (2023)
Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba
FIND: A Function Description Benchmark for Evaluating Interpretability Methods. NeurIPS (2023)
Kevin Liu, Stephen Casper, Dylan Hadfield-Menell, Jacob Andreas
Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness? EMNLP (2023)
Jessy Lin, Nicholas Tomlin, Jacob Andreas, Jason Eisner
Decision-Oriented Dialogue for Human-AI Collaboration. CoRR (2023)
Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas
LILO: Learning Interpretable Libraries by Compressing and Documenting Code. CoRR (2023)
Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks. NeurIPS (2023)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Characterizing intrinsic compositionality in transformers with Tree Projections. ICLR (2023)
Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas
Learning adaptive planning representations with natural language guidance. CoRR (2023)
Athul Paul Jacob, Gabriele Farina, Jacob Andreas
Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning. CoRR (2023)
Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang
PromptBoosting: Black-Box Text Classification with Ten Forward Passes. CoRR (2022)
Belinda Z. Li, Maxwell I. Nye, Jacob Andreas
Language Modeling with Latent Situations. CoRR (2022)
Alex Gu, Tamara Mitrovska, Daniela Velez, Jacob Andreas, Armando Solar-Lezama
ObSynth: An Interactive Synthesis System for Generating Object Models from Natural Language Specifications. CoRR (2022)
Olivia Watkins, Trevor Darrell, Pieter Abbeel, Jacob Andreas, Abhishek Gupta
Teachable Reinforcement Learning via Advice Distillation. CoRR (2022)
Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu
Tracing Knowledge in Language Models Back to the Training Data. CoRR (2022)
Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox
Correcting Robot Plans with Natural Language Feedback. CoRR (2022)
Ekin Akyürek, Jacob Andreas
Compositionality as Lexical Symmetry. CoRR (2022)
Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Antonio Torralba, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
Pre-Trained Language Models for Interactive Decision-Making. CoRR (2022)
Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Joshua B. Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan
Identifying concept libraries from language about object structure. CoRR (2022)
Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou
What learning algorithm is in-context learning? Investigations with linear models. CoRR (2022)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Characterizing Intrinsic Compositionality in Transformers with Tree Projections. CoRR (2022)
Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas
Natural Language Descriptions of Deep Visual Features. ICLR (2022)
Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. CoRR (2022)
Jacob Andreas
Language Models as Agent Models. CoRR (2022)
Belinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks. NAACL-HLT (2022)
Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas
Natural Language Descriptions of Deep Visual Features. CoRR (2022)
Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Josh Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan
Identifying concept libraries from language about object structure. CogSci (2022)
Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim
Hierarchical Phrase-based Sequence-to-Sequence Learning. CoRR (2022)
Jacob Andreas
Language Models as Agent Models. EMNLP (Findings) (2022)
Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim
Hierarchical Phrase-Based Sequence-to-Sequence Learning. EMNLP (2022)
Pratyusha Sharma, Antonio Torralba, Jacob Andreas
Skill Induction and Planning with Latent Language. ACL (1) (2022)
Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu
Towards Tracing Knowledge in Language Models Back to the Training Data. EMNLP (Findings) (2022)
Afra Feyza Akyürek, Ekin Akyürek, Derry Wijaya, Jacob Andreas
Subspace Regularizers for Few-Shot Class Incremental Learning. ICLR (2022)
Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
Pre-Trained Language Models for Interactive Decision-Making. NeurIPS (2022)
Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown
Modeling Strong and Human-Like Gameplay with KL-Regularized Search. ICML (2022)
Anton Belyy, Chieh-yang Huang, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Aleksandr Nisnevich, Charles Chen, Benjamin Van Durme
Guided K-best Selection for Semantic Parsing Annotation. ACL (demo) (2022)
Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox
Correcting Robot Plans with Natural Language Feedback. Robotics: Science and Systems (2022)
D. Anthony Bau, Jacob Andreas
How Do Neural Sequence Models Generalize? Local and Global Context Cues for Out-of-Distribution Prediction. CoRR (2021)
D. Anthony Bau, Jacob Andreas
How Do Neural Sequence Models Generalize? Local and Global Cues for Out-of-Distribution Prediction. EMNLP (1) (2021)
Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama
Representing Partial Programs with Blended Abstract Semantics. ICLR (2021)
Athul Paul Jacob, Mike Lewis, Jacob Andreas
Multitasking Inhibits Semantic Drift. NAACL-HLT (2021)
Emmanouil Antonios Platanios, Adam Pauls, Subhro Roy, Yuchen Zhang, Alexander Kyte, Alan Guo, Sam Thomson, Jayant Krishnamurthy, Jason Andrew Wolfe, Jacob Andreas, Dan Klein
Value-Agnostic Conversational Semantic Parsing. ACL/IJCNLP (1) (2021)
Belinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks. CoRR (2021)
Pratyusha Sharma, Antonio Torralba, Jacob Andreas
Skill Induction and Planning with Latent Language. CoRR (2021)
Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba
Toward a Visual Concept Vocabulary for GAN Latent Space. CoRR (2021)
Eden Bensaid, Mauro Martino, Benjamin Hoover, Jacob Andreas, Hendrik Strobelt
FairyTailor: A Multimodal Generative Framework for Storytelling. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jacob Andreas