Normal-form parsing for Combinatory Categorial Grammars with generalized composition and type-raising. - Julia Hockenmaier; Yonatan Bisk (COLING, 2010)

Simple Robust Grammar Induction with Combinatory Categorial Grammars. - Yonatan Bisk; Julia Hockenmaier (AAAI, 2012)

Document-topic hierarchies from document graphs. - Tim Weninger; Yonatan Bisk; Jiawei Han 001 (CIKM, 2012)

An HDP Model for Inducing Combinatory Categorial Grammars. - Yonatan Bisk; Julia Hockenmaier (Trans. Assoc. Comput. Linguistics, 2013)

Labeled Grammar Induction with Minimal Supervision. - Yonatan Bisk; Christos Christodoulopoulos 001; Julia Hockenmaier (ACL (2), 2015)

Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction. - Yonatan Bisk; Julia Hockenmaier (ACL (1), 2015)

Unsupervised grammar induction with Combinatory Categorial Grammars - Yonatan Bisk (2015)

Towards a Dataset for Human Computer Communication via Grounded Language Acquisition. - Yonatan Bisk; Daniel Marcu; William Wong (AAAI Workshop: Symbiotic Cognitive Systems, 2016)

Evaluating Induced CCG Parsers on Grounded Semantic Parsing. - Yonatan Bisk; Siva Reddy; John Blitzer; Julia Hockenmaier; Mark Steedman (EMNLP, 2016)

Unsupervised Neural Hidden Markov Models. - Ke M. Tran; Yonatan Bisk; Ashish Vaswani; Daniel Marcu; Kevin Knight (SPNLP@EMNLP, 2016)

Natural Language Communication with Robots. - Yonatan Bisk; Deniz Yuret; Daniel Marcu (HLT-NAACL, 2016)

Supertagging With LSTMs. - Ashish Vaswani; Yonatan Bisk; Kenji Sagae; Ryan Musa (HLT-NAACL, 2016)

Natural Language Inference from Multiple Premises. - Alice Lai; Yonatan Bisk; Julia Hockenmaier (IJCNLP(1), 2017)

Learning Interpretable Spatial Operations in a Rich 3D Blocks World. - Yonatan Bisk; Kevin J. Shih; Yejin Choi 001; Daniel Marcu (AAAI, 2018)

Inducing Grammars with and for Neural Machine Translation. - Yonatan Bisk; Ke M. Tran (NMT@ACL, 2018)

SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. - Rowan Zellers; Yonatan Bisk; Roy Schwartz 001; Yejin Choi 001 (EMNLP, 2018)

Synthetic and Natural Noise Both Break Neural Machine Translation. - Yonatan Belinkov; Yonatan Bisk (ICLR, 2018)

CHALET: Cornell House Agent Learning Environment. - Claudia Yan; Dipendra Kumar Misra; Andrew Bennett; Aaron Walsman; Yonatan Bisk; Yoav Artzi (CoRR, 2018)

Balancing Shared Autonomy with Human-Robot Communication. - Rosario Scalise; Yonatan Bisk; Maxwell Forbes; Daqing Yi; Yejin Choi 001; Siddhartha S. Srinivasa (CoRR, 2018)

HellaSwag: Can a Machine Really Finish Your Sentence? - Rowan Zellers; Ari Holtzman; Yonatan Bisk; Ali Farhadi; Yejin Choi 001 (ACL (1), 2019)

Character-based Surprisal as a Model of Reading Difficulty in the Presence of Errors. - Michael Hahn 001; Frank Keller; Yonatan Bisk; Yonatan Belinkov (CogSci, 2019)

Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. - Liyiming Ke; Xiujun Li; Yonatan Bisk; Ari Holtzman; Zhe Gan; Jingjing Liu 001; Jianfeng Gao 001; Yejin Choi 001; Siddhartha S. Srinivasa (CVPR, 2019)

From Recognition to Cognition: Visual Commonsense Reasoning. - Rowan Zellers; Yonatan Bisk; Ali Farhadi; Yejin Choi 001 (CVPR, 2019)

Robust Navigation with Language Pretraining and Stochastic Sampling. - Xiujun Li; Chunyuan Li; Qiaolin Xia; Yonatan Bisk; Asli Celikyilmaz; Jianfeng Gao 001; Noah A. Smith; Yejin Choi 001 (EMNLP/IJCNLP (1), 2019)

Prospection: Interpretable plans from language by predicting the future. - Chris Paxton 001; Yonatan Bisk; Jesse Thomason; Arunkumar Byravan; Dieter Fox (ICRA, 2019)

Improving Robot Success Detection using Static Object Data. - Rosario Scalise; Jesse Thomason; Yonatan Bisk; Siddhartha S. Srinivasa (IROS, 2019)

EARLY FUSION for Goal Directed Robotic Vision. - Aaron Walsman; Yonatan Bisk; Saadia Gabriel; Dipendra Misra; Yoav Artzi; Yejin Choi 001; Dieter Fox (IROS, 2019)

Benchmarking Hierarchical Script Knowledge. - Yonatan Bisk; Jan Buys; Karl Pichotta; Yejin Choi 001 (NAACL-HLT (1), 2019)

Shifting the Baseline: Single Modality Performance on Visual Navigation & QA. - Jesse Thomason; Daniel Gordon; Yonatan Bisk (NAACL-HLT (1), 2019)

Defending Against Neural Fake News. - Rowan Zellers; Ari Holtzman; Hannah Rashkin; Yonatan Bisk; Ali Farhadi; Franziska Roesner; Yejin Choi 001 (NeurIPS, 2019)

Character-based Surprisal as a Model of Human Reading in the Presence of Errors. - Michael Hahn 001; Frank Keller; Yonatan Bisk; Yonatan Belinkov (CoRR, 2019)

PIQA: Reasoning about Physical Commonsense in Natural Language. - Yonatan Bisk; Rowan Zellers; Ronan Le Bras 001; Jianfeng Gao 001; Yejin Choi 001 (AAAI, 2020)

Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games. - Alessandro Suglia; Antonio Vergari; Ioannis Konstas; Yonatan Bisk; Emanuele Bastianelli; Andrea Vanzo; Oliver Lemon (COLING, 2020)

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. - Mohit Shridhar; Jesse Thomason; Daniel Gordon; Yonatan Bisk; Winson Han; Roozbeh Mottaghi; Luke Zettlemoyer; Dieter Fox (CVPR, 2020)

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 (EMNLP (1), 2020)

RMM: A Recursive Mental Model for Dialog Navigation. - Homero Roman Roman; Yonatan Bisk; Jesse Thomason; Asli Celikyilmaz; Jianfeng Gao 001 (EMNLP (Findings), 2020)

Multi-View Learning for Vision-and-Language Navigation. - Qiaolin Xia; Xiujun Li; Chunyuan Li; Yonatan Bisk; Zhifang Sui; Jianfeng Gao 001; Yejin Choi 001; Noah A. Smith (CoRR, 2020)

A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos. - Frank F. Xu; Lei Ji 001; Botian Shi; Junyi Du; Graham Neubig; Yonatan Bisk; Nan Duan (CoRR, 2020)

Knowledge-driven Self-supervision for Zero-shot Commonsense Question Answering. - Kaixin Ma; Filip Ilievski; Jonathan Francis; Yonatan Bisk; Eric Nyberg; Alessandro Oltramari (CoRR, 2020)

The Return of Lexical Dependencies: Neural Lexicalized PCFGs. - Hao Zhu 011; Yonatan Bisk; Graham Neubig (Trans. Assoc. Comput. Linguistics, 2020)

Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering. - Kaixin Ma; Filip Ilievski; Jonathan Francis; Yonatan Bisk; Eric Nyberg; Alessandro Oltramari (AAAI, 2021)

Grounding 'Grounding' in NLP. - Khyathi Raghavi Chandu; Yonatan Bisk; Alan W. Black (ACL/IJCNLP (Findings), 2021)

Dependency Induction Through the Lens of Visual Perception. - Ruisi Su; Shruti Rijhwani; Hao Zhu 011; Junxian He; Xinyu Wang; Yonatan Bisk; Graham Neubig (CoNLL, 2021)

Language Grounding with 3D Objects. - Jesse Thomason; Mohit Shridhar; Yonatan Bisk; Chris Paxton 001; Luke Zettlemoyer (CoRL, 2021)

An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games. - Alessandro Suglia; Yonatan Bisk; Ioannis Konstas; Antonio Vergari; Emanuele Bastianelli; Andrea Vanzo; Oliver Lemon (EACL, 2021)

TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment. - Jianwei Yang; Yonatan Bisk; Jianfeng Gao 001 (ICCV, 2021)

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning. - Mohit Shridhar; Xingdi Yuan; Marc-Alexandre Côté; Yonatan Bisk; Adam Trischler; Matthew J. Hausknecht (ICLR, 2021)

Few-shot Language Coordination by Modeling Theory of Mind. - Hao Zhu 011; Graham Neubig; Yonatan Bisk (ICML, 2021)

WebQA: A Multimodal Multihop NeurIPS Challenge. - Yingshan Chang; Yonatan Bisk (NeurIPS (Competition and Demos), 2021)

HEAR: Holistic Evaluation of Audio Representations. - Joseph Turian; Jordie Shier; Humair Raj Khan; Bhiksha Raj; Björn W. Schuller; Christian J. Steinmetz; Colin Malloy; George Tzanetakis; Gissel Velarde; Kirk McNally; Max Henry; Nicolas Pinto; et al. (NeurIPS (Competition and Demos), 2021)

Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models. - Tejas Srinivasan; Yonatan Bisk (CoRR, 2021)

Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework. - Khanh Nguyen; Yonatan Bisk; Hal Daumé III (CoRR, 2021)

It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process. - Brent J. Hecht; Lauren Wilcox; Jeffrey P. Bigham; Johannes Schöning; Ehsan Hoque 001; Jason Ernst; Yonatan Bisk; Luigi De Russis; Lana Yarosh; Bushra Anjum; Danish Contractor; Cathy Wu 002 (CoRR, 2021)

Language Learning from Communicative Goals and Linguistic Input. - Hao Zhu 011; Yonatan Bisk; Graham Neubig (CogSci, 2022)

Transformers Are Adaptable Task Planners. - Vidhi Jain; Yixin Lin; Eric Undersander; Yonatan Bisk; Akshara Rai (CoRL, 2022)

WebQA: Multihop and Multimodal QA. - Yingshan Chang; Guihong Cao; Mridu Narang; Jianfeng Gao 001; Hisami Suzuki; Yonatan Bisk (CVPR, 2022)

Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue. - So Yeon Min; Hao Zhu 011; Ruslan Salakhutdinov; Yonatan Bisk (EMNLP, 2022)

On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization. - Shruti Palaskar; Akshita Bhagia; Yonatan Bisk; Florian Metze; Alan W. Black; Ana Marasovic (EMNLP (Findings), 2022)

EvEntS ReaLM: Event Reasoning of Entity States via Language Models. - Evangelia Spiliopoulou; Artidoro Pagnoni; Yonatan Bisk; Eduard H. Hovy (EMNLP, 2022)

FILM: Following Instructions in Language with Modular Methods. - So Yeon Min; Devendra Singh Chaplot; Pradeep Kumar Ravikumar; Yonatan Bisk; Ruslan Salakhutdinov (ICLR, 2022)

A Framework for Learning to Request Rich and Contextually Useful Information from Humans. - Khanh X. Nguyen; Yonatan Bisk; Hal Daumé III (ICML, 2022)

Symmetric Machine Theory of Mind. - Melanie Sclar; Graham Neubig; Yonatan Bisk (ICML, 2022)

KAT: A Knowledge Augmented Transformer for Vision-and-Language. - Liangke Gui; Borui Wang; Qiuyuan Huang; Alexander Hauptmann 001; Yonatan Bisk; Jianfeng Gao 001 (NAACL-HLT, 2022)

HEAR 2021: Holistic Evaluation of Audio Representations. - Joseph Turian; Jordie Shier; Humair Raj Khan; Bhiksha Raj; Björn W. Schuller; Christian J. Steinmetz; Colin Malloy; George Tzanetakis; Gissel Velarde; Kirk McNally; Max Henry; Nicolas Pinto; et al. (CoRR, 2022)

Training Vision-Language Transformers from Captions Alone. - Liangke Gui; Qiuyuan Huang; Alex Hauptmann 001; Yonatan Bisk; Jianfeng Gao 001 (CoRR, 2022)

Retrospectives on the Embodied AI Workshop. - Matt Deitke; Dhruv Batra; Yonatan Bisk; Tommaso Campari; Angel X. Chang; Devendra Singh Chaplot; Changan Chen; Claudia Pérez-D'Arpino; Kiana Ehsani; Ali Farhadi; Li Fei-Fei 001; Anthony G. Francis; et al. (CoRR, 2022)

Object Goal Navigation with End-to-End Self-Supervision. - So Yeon Min; Yao-Hung Hubert Tsai; Wei Ding; Ali Farhadi; Ruslan Salakhutdinov; Yonatan Bisk; Jian Zhang 050 (CoRR, 2022)

SLAP: Spatial-Language Attention Policies. - Priyam Parashar; Vidhi Jain; Xiaohan Zhang 002; Jay Vakil; Sam Powers; Yonatan Bisk; Chris Paxton 001 (CoRL, 2023)

HomeRobot: Open-Vocabulary Mobile Manipulation. - Sriram Yenamandra; Arun Ramachandran; Karmesh Yadav; Austin S. Wang; Mukul Khanna; Théophile Gervet; Tsung-Yen Yang; Vidhi Jain; Alexander Clegg; John M. Turner; Zsolt Kira; Manolis Savva; et al. (CoRL, 2023)

EXCALIBUR: Encouraging and Evaluating Embodied Exploration. - Hao Zhu 011; Raghav Kapoor; So Yeon Min; Winson Han; Jiatai Li; Kaiwen Geng; Graham Neubig; Yonatan Bisk; Aniruddha Kembhavi; Luca Weihs (CVPR, 2023)

The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment. - Jared Fernandez; Jacob Kahn; Clara Na; Yonatan Bisk; Emma Strubell (EMNLP, 2023)

Computational Language Acquisition with Theory of Mind. - Andy Liu; Hao Zhu 011; Emmy Liu; Yonatan Bisk; Graham Neubig (ICLR, 2023)

Self-Supervised Object Goal Navigation with In-Situ Finetuning. - So Yeon Min; Yao-Hung Hubert Tsai; Wei Ding; Ali Farhadi; Ruslan Salakhutdinov; Yonatan Bisk; Jian Zhang 050 (IROS, 2023)

SPRING: Studying Papers and Reasoning to play Games. - Yue Wu 001; So Yeon Min; Shrimai Prabhumoye; Yonatan Bisk; Russ Salakhutdinov; Amos Azaria; Tom M. Mitchell; Yuanzhi Li (NeurIPS, 2023)

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. - Lijun Yu; Yong Cheng; Zhiruo Wang; Vivek Kumar; Wolfgang Macherey; Yanping Huang; David A. Ross; Irfan Essa; Yonatan Bisk; Ming-Hsuan Yang 001; Kevin P. Murphy; Alexander G. Hauptmann; et al. (NeurIPS, 2023)

The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment. - Jared Fernandez; Jacob Kahn; Clara Na; Yonatan Bisk; Emma Strubell (CoRR, 2023)

Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents. - Yue Wu 001; So Yeon Min; Yonatan Bisk; Ruslan Salakhutdinov; Amos Azaria; Yuanzhi Li; Tom M. Mitchell; Shrimai Prabhumoye (CoRR, 2023)

SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning. - Yue Wu 001; Shrimai Prabhumoye; So Yeon Min; Yonatan Bisk; Ruslan Salakhutdinov; Amos Azaria; Tom M. Mitchell; Yuanzhi Li (CoRR, 2023)

MAEA: Multimodal Attribution for Embodied AI. - Vidhi Jain; Jayant Sravan Tamarapalli; Sahiti Yerramilli; Yonatan Bisk (CoRR, 2023)

WebArena: A Realistic Web Environment for Building Autonomous Agents. - Shuyan Zhou; Frank F. Xu; Hao Zhu 011; Xuhui Zhou; Robert Lo; Abishek Sridhar; Xianyi Cheng; Yonatan Bisk; Daniel Fried; Uri Alon 002; Graham Neubig (CoRR, 2023)

MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Perception. - Gyan Tatiya; Jonathan Francis; Ho-Hsiang Wu; Yonatan Bisk; Jivko Sinapov (CoRR, 2023)

Reasoning about the Unseen for Efficient Outdoor Object Navigation. - Quanting Xie; Tianyi Zhang 014; Kedi Xu 003; Matthew Johnson-Roberson; Yonatan Bisk (CoRR, 2023)

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. - Yafei Hu; Quanting Xie; Vidhi Jain; Jonathan Francis; Jay Patrikar; Nikhil Varma Keetha; Seungchan Kim; Yaqi Xie 001; Tianyi Zhang 014; Shibo Zhao; Yu Quan Chong; Chen Wang 033; et al. (CoRR, 2023)

Training Vision-Language Transformers from Captions. - Liangke Gui; Yingshan Chang; Qiuyuan Huang; Subhojit Som; Alexander G. Hauptmann; Jianfeng Gao 001; Yonatan Bisk (Trans. Mach. Learn. Res., 2023)

VISREAS: Complex Visual Reasoning with Unanswerable Questions. - Syeda Nahida Akter; Sangwu Lee; Yingshan Chang; Yonatan Bisk; Eric Nyberg (ACL (Findings), 2024)

SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents. - Ruiyi Wang; Haofei Yu; Wenxin Zhang 004; Zhengyang Qi; Maarten Sap; Yonatan Bisk; Graham Neubig; Hao Zhu 011 (ACL (1), 2024)

ANAVI: Audio Noise Awareness using Visual of Indoor environments for NAVIgation. - Vidhi Jain; Rishi Veerapaneni; Yonatan Bisk (CoRL, 2024)

OpenEQA: Embodied Question Answering in the Era of Foundation Models. - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang 002; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (CVPR, 2024)

Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation. - Yingshan Chang; Yasi Zhang; Zhiyuan Fang; Ying Nian Wu; Yonatan Bisk; Feng Gao 013 (ECCV (87), 2024)

Situated Instruction Following. - So Yeon Min; Xavier Puig; Devendra Singh Chaplot; Tsung-Yen Yang; Akshara Rai; Priyam Parashar; Ruslan Salakhutdinov; Yonatan Bisk; Roozbeh Mottaghi (ECCV (61), 2024)

Gradient Localization Improves Lifelong Pretraining of Language Models. - Jared Fernandez; Yonatan Bisk; Emma Strubell (EMNLP (Findings), 2024)

How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. - Jaeyoung Lee; Ximing Lu; Jack Hessel; Faeze Brahman; Youngjae Yu; Yonatan Bisk; Yejin Choi 001; Saadia Gabriel (EMNLP (Findings), 2024)

Tools Fail: Detecting Silent Errors in Faulty Tools. - Jimin Sun; So Yeon Min; Yingshan Chang; Yonatan Bisk (EMNLP, 2024)

SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. - Xuhui Zhou; Hao Zhu 011; Leena Mathur; Ruohong Zhang; Haofei Yu; Zhengyang Qi; Louis-Philippe Morency; Yonatan Bisk; Daniel Fried; Graham Neubig; Maarten Sap (ICLR, 2024)

WebArena: A Realistic Web Environment for Building Autonomous Agents. - Shuyan Zhou; Frank F. Xu; Hao Zhu 011; Xuhui Zhou; Robert Lo; Abishek Sridhar; Xianyi Cheng; Tianyue Ou; Yonatan Bisk; Daniel Fried; Uri Alon 002; Graham Neubig (ICLR, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception. - Gyan Tatiya; Jonathan Francis; Ho-Hsiang Wu; Yonatan Bisk; Jivko Sinapov (ICRA, 2024)

Diffusion PID: Interpreting Diffusion via Partial Information Decomposition. - Shaurya Dewan; Rushikesh Zawar; Prakanshul Saxena; Yingshan Chang; Andrew F. Luo; Yonatan Bisk (NeurIPS, 2024)

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. - Vidhi Jain; Maria Attarian; Nikhil J. Joshi; Ayzaan Wahid; Danny Driess; Quan Vuong; Pannag R. Sanketi; Pierre Sermanet; Stefan Welker; Christine Chan; Igor Gilitschenski; Yonatan Bisk; et al. (Robotics: Science and Systems, 2024)

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. - Casey Kennington; Malihe Alikhani; Heather Pon-Barry; Katherine Atwell; Yonatan Bisk; Daniel Fried; Felix Gervits; Zhao Han; Mert Inan; Michael Johnston; Raj Korpan; Diane J. Litman; et al. (CoRR, 2024)

AgentKit: Flow Engineering with Graphs, not Coding. - Yue Wu 001; Yewen Fan; So Yeon Min; Shrimai Prabhumoye; Stephen McAleer; Yonatan Bisk; Ruslan Salakhutdinov; Yuanzhi Li; Tom M. Mitchell (CoRR, 2024)

DiffusionPID: Interpreting Diffusion via Partial Information Decomposition. - Shaurya Dewan; Rushikesh Zawar; Prakanshul Saxena; Yingshan Chang; Andrew F. Luo; Yonatan Bisk (CoRR, 2024)

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. - Sriram Yenamandra; Arun Ramachandran; Mukul Khanna; Karmesh Yadav; Jay Vakil; Andrew Melnik; Michael Büttner; Leon Harz; Lyon Brown; Gora Chand Nandi; Arjun P. S; Gaurav Kumar Yadav; et al. (CoRR, 2024)

DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement. - Benjamin A. Newman; Pranay Gupta; Kris Kitani; Yonatan Bisk; Henny Admoni; Christopher Jason Paxton (CoRR, 2024)

Embodied-RAG: General non-parametric Embodied Memory for Retrieval and Generation. - Quanting Xie; So Yeon Min; Tianyi Zhang 014; Aarav Bajaj; Ruslan Salakhutdinov; Matthew Johnson-Roberson; Yonatan Bisk (CoRR, 2024)

ANAVI: Audio Noise Awareness using Visuals of Indoor environments for NAVIgation. - Vidhi Jain; Rishi Veerapaneni; Yonatan Bisk (CoRR, 2024)

Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training. - Jared Fernandez; Luca Wehrstedt; Leonid Shamis; Mostafa Elhoushi; Kalyan Saladi; Yonatan Bisk; Emma Strubell; Jacob Kahn (CoRR, 2024)

Energy Considerations of Large Language Model Inference and Efficiency Optimizations. - Jared Fernandez; Clara Na; Vashisth Tiwari; Yonatan Bisk; Sasha Luccioni; Emma Strubell (ACL (1), 2025)

Re-thinking Temporal Search for Long-Form Video Understanding. - Jinhui Ye; Zihan Wang 008; Haosen Sun; Keshigeyan Chandrasegaran; Zane Durante; Cristóbal Eyzaguirre; Yonatan Bisk; Juan Carlos Niebles; Ehsan Adeli 001; Li Fei-Fei 001; Jiajun Wu 001; Manling Li (CVPR, 2025)

Language Models Need Inductive Biases to Count Inductively. - Yingshan Chang; Yonatan Bisk (ICLR, 2025)

Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning. - Melanie Sclar; Jane Dwivedi-Yu; Maryam Fazel-Zarandi; Yulia Tsvetkov; Yonatan Bisk; Yejin Choi 001; Asli Celikyilmaz (ICLR, 2025)

Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. - Ruohong Zhang; Liangke Gui; Zhiqing Sun; Yihao Feng; Keyang Xu; Yuanhan Zhang; Di Fu; Chunyuan Li; Alexander G. Hauptmann; Yonatan Bisk; Yiming Yang (NAACL (Long Papers), 2025)

Efficient Hardware Scaling and Diminishing Returns in Large-Scale Training of Language Models. - Jared Fernandez; Luca Wehrstedt; Leonid Shamis; Mostafa Elhoushi; Kalyan Saladi; Yonatan Bisk; Emma Strubell; Jacob Kahn (Trans. Mach. Learn. Res., 2025)

Model Successor Functions. - Yingshan Chang; Yonatan Bisk (CoRR, 2025)

Self-Regulation and Requesting Interventions. - So Yeon Min; Yue Wu 001; Jimin Sun; Max Kaufmann; Fahim Tajwar; Yonatan Bisk; Ruslan Salakhutdinov (CoRR, 2025)

MotIF: Motion Instruction Fine-Tuning. - Minyoung Hwang; Joey Hejna; Dorsa Sadigh; Yonatan Bisk (IEEE Robotics Autom. Lett., 2025)

Looking beyond the next token. - Abitha Thankaraj; Yiding Jiang; J. Zico Kolter; Yonatan Bisk (CoRR, 2025)

FieldWorkArena: Agentic AI Benchmark for Real Field Work Tasks. - Atsunori Moteki; Shoichi Masui; Fan Yang 032; Yueqi Song; Yonatan Bisk; Graham Neubig; Ikuo Kusajima; Yasuto Watanabe; Hiroyuki Ishida; Jun Takahashi; Shan Jiang 006 (CoRR, 2025)

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models. - Huihan Liu; Rutav Shah; Shuijing Liu; Jack Pittenger; Mingyo Seo; Yuchen Cui; Yonatan Bisk; Roberto Martín-Martín; Yuke Zhu (CoRR, 2025)