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Andreas, Jacob

  1. The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
    2024/11/11 by Ekin Akyürek, Akyürek, Ekin, Mehul Damani +14 · 17 voices · 38 citations
    Computer Science · #Intelligent Tutoring Systems and Adaptive Learning
  2. LoRA vs Full Fine-tuning: An Illusion of Equivalence
    2024/10/28 by Reece Shuttleworth, Jacob Andreas, Shuttleworth, Reece +5 · 8 voices · 29 citations
    Computer Science · Engineering · #Embedded Systems Design Techniques #Fault Detection and Control Systems #Parallel Computing and Optimization Techniques
  3. What learning algorithm is in-context learning? Investigations with linear models
    2022/11/28 by Ekin Akyürek, Dale Schuurmans, Akyürek, Ekin +7 · 3 voices · 70 citations
    Computer Science · #Neural Networks and Applications #cs.CL #cs.LG
  4. Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
    2023/07/05 by Zhaofeng Wu, Wu, Zhaofeng, Linlu Qiu +15 · 8 voices · 37 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL
  5. From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought
    2023/06/22 by Lionel Wong, Wong, Lionel, Gabriel Grand +11 · 2 voices · 16 citations
    #cs.CL #cs.AI #cs.SC
  6. Language Models Trained on Media Diets Can Predict Public Opinion
    2023/03/28 by Eric Chu, Chu, Eric, Jacob Andreas +5 · 3 voices · 5 citations
    Social Sciences · #Computational and Text Analysis Methods #Media Influence and Politics #Social Media and Politics #cs.CL #cs.LG
  7. A Multimodal Automated Interpretability Agent
    2024/04/22 by Tamar Rott Shaham, Sarah Schwettmann, Shaham, Tamar Rott +11 · 2 voices · 12 citations
    Computer Science · #Natural Language Processing Techniques #Speech and dialogue systems #cs.AI #cs.CL #cs.CV
  8. Neural Module Networks
    2015/11/09 by Andreas, Jacob, Rohrbach, Marcus, Darrell, Trevor +1 · 24 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  9. Speaker-Follower Models for Vision-and-Language Navigation
    2018/06/07 by Daniel Fried, Ronghang Hu, Fried, Daniel +17 · 26 citations
    Computer Science · #Speech and dialogue systems #Natural Language Processing Techniques #Speech Recognition and Synthesis
  10. Grokking of Hierarchical Structure in Vanilla Transformers
    2023/05/30 by Shikhar Murty, Pratyusha Sharma, Murty, Shikhar +5 · 1 voice · 7 citations
    Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.CL
  11. Modular Multitask Reinforcement Learning with Policy Sketches
    2016/11/06 by Andreas, Jacob, Klein, Dan, Levine, Sergey · 14 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  12. Guiding Pretraining in Reinforcement Learning with Large Language Models
    2023/02/13 by Yuqing Du, Olivia Watkins, Du, Yuqing +13 · 23 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  13. Implicit Representations of Meaning in Neural Language Models
    2021/06/01 by Li, Belinda Z., Nye, Maxwell, Andreas, Jacob · 16 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  14. Inspecting and Editing Knowledge Representations in Language Models
    2023/04/03 by Evan Hernandez, Belinda Z. Li, Hernandez, Evan +3 · 20 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  15. Pre-Trained Language Models for Interactive Decision-Making
    2022/02/03 by Shuang Li, Xavier Puig, Li, Shuang +25 · 16 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  16. A Survey of Reinforcement Learning Informed by Natural Language
    2019/06/10 by Luketina, Jelena, Nardelli, Nantas, Farquhar, Gregory +5 · 12 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Experience Grounds Language
    2020/04/21 by Bisk, Yonatan, Holtzman, Ari, Thomason, Jesse +9 · 13 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Modeling Relationships in Referential Expressions with Compositional Modular Networks
    2016/11/30 by Ronghang Hu, Hu, Ronghang, Marcus Rohrbach +7 · 15 citations
    Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Human Pose and Action Recognition
  19. Towards Tracing Factual Knowledge in Language Models Back to the Training Data
    2022/05/23 by Ekin Akyürek, Akyürek, Ekin, Tolga Bolukbasi +11 · 1 voice · 4 citations
    Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.IR
  20. Linearity of Relation Decoding in Transformer Language Models
    2023/08/17 by Hernandez, Evan, Sharma, Arnab Sen, Haklay, Tal +5 · 17 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  21. Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
    2023/11/15 by Bairu Hou, Hou, Bairu, Yujian Liu +9 · 18 citations
    Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  22. Compositional Explanations of Neurons
    2020/06/24 by Jesse Mu, Jacob Andreas, Mu, Jesse +1 · 10 citations
    Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning in Materials Science
  23. The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks
    2023/06/30 by Zhong, Ziqian, Liu, Ziming, Tegmark, Max +1 · 14 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. Eliciting Human Preferences with Language Models
    2023/10/17 by Li, Belinda Z., Tamkin, Alex, Goodman, Noah +1 · 15 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  25. Natural Language Descriptions of Deep Visual Features
    2022/01/26 by Evan Hernandez, Sarah Schwettmann, Hernandez, Evan +9 · 11 citations
    Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning
    2025/04/02 by Hou, Bairu, Zhang, Yang, Ji, Jiabao +4 · 32 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  27. Language Models as Agent Models
    2022/12/03 by Andreas, Jacob · 9 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  28. Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models
    2024/05/15 by Anna A. Ivanova, Aalok Sathe, Ivanova, Anna A. +37 · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
  29. A Benchmark for Systematic Generalization in Grounded Language Understanding
    2020/03/11 by Laura Ruis, Jacob Andreas, Ruis, Laura +7 · 6 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  30. In-Context Language Learning: Architectures and Algorithms
    2024/01/23 by Ekin Akyürek, Bailin Wang, Akyürek, Ekin +5 · 10 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  31. Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
    2024/10/07 by Mehul Damani, Idan Shenfeld, Damani, Mehul +7 · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural Networks and Reservoir Computing
  32. Skill Induction and Planning with Latent Language
    2021/10/04 by Pratyusha Sharma, Antonio Torralba, Sharma, Pratyusha +3 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO) #Topic Modeling
  33. Correcting Robot Plans with Natural Language Feedback
    2022/04/11 by Pratyusha Sharma, Balakumar Sundaralingam, Sharma, Pratyusha +13 · 6 citations
    Computer Science · #Natural Language Processing Techniques #AI-based Problem Solving and Planning #Multimodal Machine Learning Applications
  34. Good-Enough Compositional Data Augmentation
    2019/04/21 by Andreas, Jacob · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  35. Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
    2025/07/22 by Mehul Damani, Isha Puri, Damani, Mehul +11 · 1 voice · 24 citations
    Computer Science · #Intelligent Tutoring Systems and Adaptive Learning
  36. Learning to Compose Neural Networks for Question Answering
    2016/01/07 by Jacob Andreas, Andreas, Jacob, Marcus Rohrbach +5 · 2 voices
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #cs.CL #cs.CV #cs.NE
  37. Measuring Compositionality in Representation Learning
    2019/02/19 by Jacob Andreas, Andreas, Jacob · 6 citations
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language and cultural evolution #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
  38. LILO: Learning Interpretable Libraries by Compressing and Documenting Code
    2023/10/30 by Gabriel Grand, Grand, Gabriel, Lionel Wong +9 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Programming Languages (cs.PL) #Software Engineering Research #Topic Modeling
  39. The Consensus Game: Language Model Generation via Equilibrium Search
    2023/10/13 by Athul Paul Jacob, Jacob, Athul Paul, Yikang Shen +5 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  40. Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment
    2020/08/22 by Chauhan, Geeticka, Liao, Ruizhi, Wells, William +6 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  41. PromptBoosting: Black-Box Text Classification with Ten Forward Passes
    2022/12/19 by Bairu Hou, Hou, Bairu, Joe O’Connor +7 · 4 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech Recognition and Synthesis
  42. Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?
    2023/11/27 by Kevin Liu, Stephen Casper, Liu, Kevin +5 · 5 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
  43. Reasoning About Pragmatics with Neural Listeners and Speakers
    2016/04/02 by Andreas, Jacob, Klein, Dan · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  44. Subspace Regularizers for Few-Shot Class Incremental Learning
    2021/10/13 by Afra Feyza Akyürek, Ekin Akyürek, Akyürek, Afra Feyza +6 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  45. Learning adaptive planning representations with natural language guidance
    2023/12/13 by Lionel Wong, Jiayuan Mao, Wong, Lionel +13 · 5 citations
    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Robotics (cs.RO) #Software Engineering Research #Topic Modeling
  46. Learning to Reason: End-to-End Module Networks for Visual Question Answering
    2017/04/18 by Hu, Ronghang, Andreas, Jacob, Rohrbach, Marcus +2 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  47. A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
    2024/06/11 by Bairu Hou, Yang Zhang, Hou, Bairu +5 · 5 citations
    Computer Science · #Computation and Language (cs.CL) #Digital Media Forensic Detection #FOS: Computer and information sciences
  48. Explainable Neural Computation via Stack Neural Module Networks
    2018/07/23 by Ronghang Hu, Hu, Ronghang, Jacob Andreas +5 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
  49. Guiding Policies with Language via Meta-Learning
    2018/11/19 by Co-Reyes, John D., Gupta, Abhishek, Sanjeev, Suvansh +5 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
  50. Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
    2023/10/20 by Chengxu Zhuang, Zhuang, Chengxu, Evelina Fedorenko +3 · 1 voice · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL
  51. MisinfoEval: Generative AI in the Era of "Alternative Facts"
    2024/10/13 by Saadia Gabriel, Gabriel, Saadia, Liang Lyu +9 · 5 citations
    Social Sciences · #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences
  52. The Low-Dimensional Linear Geometry of Contextualized Word\n Representations
    2021/05/14 by Evan Hernandez, Jacob Andreas, Hernandez, Evan +1 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Software Engineering Research #Text Readability and Simplification #Topic Modeling
  53. Modeling Strong and Human-Like Gameplay with KL-Regularized Search
    2021/12/14 by Athul Paul Jacob, Jacob, Athul Paul, David Wu +12 · 2 citations
    Economics, Econometrics and Finance · Computer Science · #Sports Analytics and Performance #Reinforcement Learning in Robotics #Artificial Intelligence in Games
  54. Algorithmic Capabilities of Random Transformers
    2024/10/06 by Ziqian Zhong, Jacob Andreas, Zhong, Ziqian +1 · 4 citations
    Computer Science · #Neural Networks and Applications
  55. Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling
    2024/02/29 by Gabriel Grand, Valerio Pepe, Grand, Gabriel +5 · 4 citations
    Health Professions · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Interpreting and Communication in Healthcare
  56. Automatic Discovery of Visual Circuits
    2024/04/22 by Achyuta Rajaram, Rajaram, Achyuta, Neil Chowdhury +7 · 3 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Blind Source Separation Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Neural Networks and Applications
  57. Decision-Oriented Dialogue for Human-AI Collaboration
    2023/05/31 by Jessy Lin, Lin, Jessy, Nicholas Tomlin +5 · 2 citations
    Computer Science · #AI in Service Interactions #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Speech and dialogue systems #Topic Modeling
  58. A Hitchhiker's Guide to Scaling Law Estimation
    2024/10/15 by Leshem Choshen, Choshen, Leshem, Zhang, Yang +2 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
  59. Translating Neuralese
    2017/04/23 by Jacob Andreas, Andreas, Jacob, Anca D. Dragan +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  60. Learning with Latent Language
    2017/11/01 by Andreas, Jacob, Klein, Dan, Levine, Sergey · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  61. Unified Pragmatic Models for Generating and Following Instructions
    2017/11/14 by Fried, Daniel, Andreas, Jacob, Klein, Dan · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  62. Modeling Boundedly Rational Agents with Latent Inference Budgets
    2023/12/07 by Athul Paul Jacob, Abhishek Gupta, Jacob, Athul Paul +3 · 2 citations
    Computer Science · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sports Analytics and Performance
  63. Adaptive Language-Guided Abstraction from Contrastive Explanations
    2024/09/12 by Andi Peng, Belinda Z. Li, Peng, Andi +11 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Robotics (cs.RO) #Semantic Web and Ontologies #Topic Modeling
  64. (How) Do Language Models Track State?
    2025/03/04 by Belinda Z. Li, Li, Belinda Z., Guo, Zifan Carl +2 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  65. Learning to Recombine and Resample Data for Compositional Generalization
    2020/10/08 by Akyürek, Ekin, Akyürek, Afra Feyza, Andreas, Jacob · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  66. Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales
    2021/04/17 by Jacob Andreas, Gašper Beguš, Andreas, Jacob +37 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Earth and Planetary Sciences · Environmental Science · #Animal Vocal Communication and Behavior #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Marine animal studies overview #Robotics (cs.RO) #Sound (cs.SD) #Underwater Acoustics Research #electronic engineering #information engineering
  67. Pushdown Layers: Encoding Recursive Structure in Transformer Language Models
    2023/10/29 by Shikhar Murty, Pratyusha Sharma, Murty, Shikhar +5 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  68. Toward a Visual Concept Vocabulary for GAN Latent Space
    2021/10/08 by Schwettmann, Sarah, Hernandez, Evan, Bau, David +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.4
  69. Bayesian Preference Elicitation with Language Models
    2024/03/08 by Handa, Kunal, Gal, Yarin, Pavlick, Ellie +4 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  70. Compositionality as Lexical Symmetry
    2022/01/30 by Akyürek, Ekin, Andreas, Jacob · 1 citation
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  71. An Incomplete Loop: Instruction Inference, Instruction Following, and In-context Learning in Language Models
    2024/04/03 by Emmy Liu, Liu, Emmy, Graham Neubig +3 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  72. Identifying concept libraries from language about object structure
    2022/05/11 by Wong, Catherine, McCarthy, William P., Grand, Gabriel +5 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  73. Characterizing Intrinsic Compositionality in Transformers with Tree Projections
    2022/11/02 by Shikhar Murty, Pratyusha Sharma, Murty, Shikhar +5 · 1 citation
    Computer Science · Neuroscience · #Natural Language Processing Techniques #Topic Modeling #Neurobiology of Language and Bilingualism
  74. Toward In-Context Teaching: Adapting Examples to Students' Misconceptions
    2024/05/07 by Ross, Alexis, Andreas, Jacob · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  75. Leveraging Language to Learn Program Abstractions and Search Heuristics
    2021/06/18 by Wong, Catherine, Ellis, Kevin, Tenenbaum, Joshua B. +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  76. Evaluating the Utility of Model Explanations for Model Development
    2023/12/10 by Im, Shawn, Andreas, Jacob, Zhou, Yilun · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
  77. LM Agents for Coordinating Multi-User Information Gathering
    2025/02/17 by Jhamtani, Harsh, Andreas, Jacob, Van Durme, Benjamin · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  78. Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling
    2024/03/21 by Chengxu Zhuang, Evelina Fedorenko, Zhuang, Chengxu +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  79. Modeling Student Learning with 3.8 Million Program Traces
    2025/10/06 by Ross, Alexis, Srivastava, Megha, Blanchard, Jeremiah +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  80. Language Modeling with Editable External Knowledge
    2024/06/17 by Li, Belinda Z., Liu, Emmy, Ross, Alexis +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  81. Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation
    2025/05/20 by Peter Baile Chen, Yi Zhang, Chen, Peter Baile +7 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  82. Self-Steering Language Models
    2025/04/09 by Gabriel Grand, Grand, Gabriel, Joshua B. Tenenbaum +7 · 2 citations
    Computer Science · #Natural Language Processing Techniques
  83. Line of Sight: On Linear Representations in VLLMs
    2025/06/05 by Achyuta Rajaram, Rajaram, Achyuta, Sarah Schwettmann +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Topic Modeling
  84. Language Modeling with Latent Situations
    2022/12/20 by Li, Belinda Z., Nye, Maxwell, Andreas, Jacob · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  85. Interpreting User Requests in the Context of Natural Language Standing Instructions
    2023/11/16 by Nikita Moghe, Patrick Xia, Moghe, Nikita +9 · 1 voice · 1 citation
    Computer Science · #cs.CL #cs.AI
  86. Learning to Make MISTAKEs: Modeling Incorrect Student Thinking And Key Errors
    2025/10/13 by Ross, Alexis, Andreas, Jacob · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)