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

Energy Considerations of Large Language Model Inference and Efficiency Optimizations - Jared Fernandez; Clara Na; Vashisth Tiwari; Yonatan Bisk; Sasha Luccioni; Emma Strubell (Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025, 2025)

Re-thinking Temporal Search for Long-Form Video Understanding - Jinhui Ye; Zihan Wang; Haosen Sun; Keshigeyan Chandrasegaran; Zane Durante; Cristóbal Eyzaguirre; Yonatan Bisk; Juan Carlos Niebles; Ehsan Adeli; Li Fei-Fei; Jiajun Wu; Manling Li (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025, 2025)

Language Models Need Inductive Biases to Count Inductively - Yingshan Chang; Yonatan Bisk (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 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; Asli Celikyilmaz (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 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 (Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2025 - Volume 1: Long Papers, Albuquerque, New Mexico, USA, April 29 - May 4, 2025, 2025)

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

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

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

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

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

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

VISREAS: Complex Visual Reasoning with Unanswerable Questions - Syeda Nahida Akter; Sangwu Lee; Yingshan Chang; Yonatan Bisk; Eric Nyberg (Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, 2024)

SOTOPIA-\(π\): Interactive Learning of Socially Intelligent Language Agents - Ruiyi Wang; Haofei Yu; Wenxin Zhang; Zhengyang Qi; Maarten Sap; Yonatan Bisk; Graham Neubig; Hao Zhu (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024, 2024)

ANAVI: Audio Noise Awareness using Visual of Indoor environments for NAVIgation - Vidhi Jain; Rishi Veerapaneni; Yonatan Bisk (Conference on Robot Learning, 6-9 November 2024, Munich, Germany, 2024)

OpenEQA: Embodied Question Answering in the Era of Foundation Models - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 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 (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXI, 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 (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXVII, 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; Saadia Gabriel (Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024)

Tools Fail: Detecting Silent Errors in Faulty Tools - Jimin Sun; So Yeon Min; Yingshan Chang; Yonatan Bisk (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024)

Gradient Localization Improves Lifelong Pretraining of Language Models - Jared Fernandez; Yonatan Bisk; Emma Strubell (Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024)

SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents - Xuhui Zhou; Hao Zhu; Leena Mathur; Ruohong Zhang; Haofei Yu; Zhengyang Qi; Louis-Philippe Morency; Yonatan Bisk; Daniel Fried; Graham Neubig; Maarten Sap (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

WebArena: A Realistic Web Environment for Building Autonomous Agents - Shuyan Zhou; Frank F. Xu; Hao Zhu; Xuhui Zhou; Robert Lo; Abishek Sridhar; Xianyi Cheng; Tianyue Ou; Yonatan Bisk; Daniel Fried; Uri Alon; Graham Neubig (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 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 (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Diffusion PID: Interpreting Diffusion via Partial Information Decomposition - Shaurya Dewan; Rushikesh Zawar; Prakanshul Saxena; Yingshan Chang; Andrew F. Luo; Yonatan Bisk (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 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 XX, Delft, The Netherlands, July 15-19, 2024, 2024)

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

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

Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation - Yingshan Chang; Yasi Zhang; Zhiyuan Fang; Yingnian Wu; Yonatan Bisk; Feng Gao (CoRR, 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)

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 Hauptmann; Yonatan Bisk; Yiming Yang (CoRR, 2024)

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

Language Models Need Inductive Biases to Count Inductively - Yingshan Chang; Yonatan Bisk (CoRR, 2024)

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

Tools Fail: Detecting Silent Errors in Faulty Tools - Jimin Sun; So Yeon Min; Yingshan Chang; Yonatan Bisk (CoRR, 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; Saadia Gabriel (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)

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

MotIF: Motion Instruction Fine-tuning - Minyoung Hwang; Joey Hejna; Dorsa Sadigh; Yonatan Bisk (CoRR, 2024)

Embodied-RAG: General non-parametric Embodied Memory for Retrieval and Generation - Quanting Xie; So Yeon Min; Tianyi Zhang; 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)

Gradient Localization Improves Lifelong Pretraining of Language Models - Jared Fernandez; Yonatan Bisk; Emma Strubell (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)

Explore Theory of Mind: Program-guided adversarial data generation for theory of mind reasoning - Melanie Sclar; Jane A. Yu; Maryam Fazel-Zarandi; Yulia Tsvetkov; Yonatan Bisk; Yejin Choi; Asli Celikyilmaz (CoRR, 2024)

Training Vision-Language Transformers from Captions - Liangke Gui; Yingshan Chang; Qiuyuan Huang; Subhojit Som; Alexander G. Hauptmann; Jianfeng Gao; Yonatan Bisk (Trans. Mach. Learn. Res., 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. (Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA, 2023)

SLAP: Spatial-Language Attention Policies - Priyam Parashar; Vidhi Jain; Xiaohan Zhang; Jay Vakil; Sam Powers; Yonatan Bisk; Chris Paxton (Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA, 2023)

EXCALIBUR: Encouraging and Evaluating Embodied Exploration - Hao Zhu; Raghav Kapoor; So Yeon Min; Winson Han; Jiatai Li; Kaiwen Geng; Graham Neubig; Yonatan Bisk; Aniruddha Kembhavi; Luca Weihs (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment - Jared Fernandez; Jacob Kahn; Clara Na; Yonatan Bisk; Emma Strubell (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Computational Language Acquisition with Theory of Mind - Andy Liu; Hao Zhu; Emmy Liu; Yonatan Bisk; Graham Neubig (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 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 (IROS, 2023)

SPRING: Studying Papers and Reasoning to play Games - Yue Wu; So Yeon Min; Shrimai Prabhumoye; Yonatan Bisk; Russ Salakhutdinov; Amos Azaria; Tom M. Mitchell; Yuanzhi Li (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 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; Kevin P. Murphy; Alexander G. Hauptmann; et al. (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

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

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

Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents - Yue Wu; 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; Shrimai Prabhumoye; So Yeon Min; Yonatan Bisk; Ruslan Salakhutdinov; Amos Azaria; Tom M. Mitchell; Yuanzhi Li (CoRR, 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 William Clegg; John M. Turner; Zsolt Kira; Manolis Savva; et al. (CoRR, 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; Kevin Murphy; Alexander G. Hauptmann; et al. (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; Xuhui Zhou; Robert Lo; Abishek Sridhar; Xianyi Cheng; Yonatan Bisk; Daniel Fried; Uri Alon; 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; Kedi Xu; Matthew Johnson-Roberson; Yonatan Bisk (CoRR, 2023)

SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents - Xuhui Zhou; Hao Zhu; Leena Mathur; Ruohong Zhang; Haofei Yu; Zhengyang Qi; Louis-Philippe Morency; Yonatan Bisk; Daniel Fried; Graham Neubig; Maarten Sap (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; Tianyi Zhang; Shibo Zhao; Yu Quan Chong; Chen Wang; et al. (CoRR, 2023)

Language Learning from Communicative Goals and Linguistic Input - Hao Zhu; Yonatan Bisk; Graham Neubig (Proceedings of the 44th Annual Meeting of the Cognitive Science Society, CogSci 2022, Toronto, ON, Canada, July 27-30, 2022, 2022)

Transformers Are Adaptable Task Planners - Vidhi Jain; Yixin Lin; Eric Undersander; Yonatan Bisk; Akshara Rai (Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand, 2022)

WebQA: Multihop and Multimodal QA - Yingshan Chang; Guihong Cao; Mridu Narang; Jianfeng Gao; Hisami Suzuki; Yonatan Bisk (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

EvEntS ReaLM: Event Reasoning of Entity States via Language Models - Evangelia Spiliopoulou; Artidoro Pagnoni; Yonatan Bisk; Eduard H. Hovy (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 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 (Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 2022)

Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue - So Yeon Min; Hao Zhu; Ruslan Salakhutdinov; Yonatan Bisk (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 2022)

FILM: Following Instructions in Language with Modular Methods - So Yeon Min; Devendra Singh Chaplot; Pradeep Kumar Ravikumar; Yonatan Bisk; Ruslan Salakhutdinov (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

A Framework for Learning to Request Rich and Contextually Useful Information from Humans - Khanh X. Nguyen; Yonatan Bisk; Hal Daumé III (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

Symmetric Machine Theory of Mind - Melanie Sclar; Graham Neubig; Yonatan Bisk (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

KAT: A Knowledge Augmented Transformer for Vision-and-Language - Liangke Gui; Borui Wang; Qiuyuan Huang; Alexander Hauptmann; Yonatan Bisk; Jianfeng Gao (Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022, 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; Yonatan Bisk; Jianfeng Gao (CoRR, 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 (CoRR, 2022)

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

Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue - So Yeon Min; Hao Zhu; Ruslan Salakhutdinov; Yonatan Bisk (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; Anthony G. Francis; et al. (CoRR, 2022)

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

Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering - Kaixin Ma; Filip Ilievski; Jonathan Francis; Yonatan Bisk; Eric Nyberg; Alessandro Oltramari (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

Grounding 'Grounding' in NLP - Khyathi Raghavi Chandu; Yonatan Bisk; Alan W. Black (Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021, 2021)

Dependency Induction Through the Lens of Visual Perception - Ruisi Su; Shruti Rijhwani; Hao Zhu; Junxian He; Xinyu Wang; Yonatan Bisk; Graham Neubig (Proceedings of the 25th Conference on Computational Natural Language Learning, CoNLL 2021, Online, November 10-11, 2021, 2021)

Language Grounding with 3D Objects - Jesse Thomason; Mohit Shridhar; Yonatan Bisk; Chris Paxton; Luke Zettlemoyer (Conference on Robot Learning, 8-11 November 2021, London, UK, 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 (Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, April 19 - 23, 2021, 2021)

TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment - Jianwei Yang; Yonatan Bisk; Jianfeng Gao (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning - Mohit Shridhar; Xingdi Yuan; Marc-Alexandre Côté; Yonatan Bisk; Adam Trischler; Matthew J. Hausknecht (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021)

Few-shot Language Coordination by Modeling Theory of Mind - Hao Zhu; Graham Neubig; Yonatan Bisk (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 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 2021 Competitions and Demonstrations Track, 6-14 December 2021, Online, 2021)

WebQA: A Multimodal Multihop NeurIPS Challenge - Yingshan Chang; Yonatan Bisk (NeurIPS 2021 Competitions and Demonstrations Track, 6-14 December 2021, Online, 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 (CoRR, 2021)

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

Grounding 'Grounding' in NLP - Khyathi Raghavi Chandu; Yonatan Bisk; Alan W. Black (CoRR, 2021)

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

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

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

WebQA: Multihop and Multimodal QA - Yingshan Chang; Mridu Narang; Hisami Suzuki; Guihong Cao; Jianfeng Gao; Yonatan Bisk (CoRR, 2021)

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

FILM: Following Instructions in Language with Modular Methods - So Yeon Min; Devendra Singh Chaplot; Pradeep Ravikumar; Yonatan Bisk; Ruslan Salakhutdinov (CoRR, 2021)

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

KAT: A Knowledge Augmented Transformer for Vision-and-Language - Liangke Gui; Borui Wang; Qiuyuan Huang; Alex Hauptmann; Yonatan Bisk; Jianfeng Gao (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; Jason Ernst; Yonatan Bisk; Luigi De Russis; Lana Yarosh; Bushra Anjum; Danish Contractor; Cathy Wu (CoRR, 2021)

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

PIQA: Reasoning about Physical Commonsense in Natural Language - Yonatan Bisk; Rowan Zellers; Ronan Le Bras; Jianfeng Gao; Yejin Choi (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 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 (Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, 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 (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

RMM: A Recursive Mental Model for Dialog Navigation - Homero Roman Roman; Yonatan Bisk; Jesse Thomason; Asli Celikyilmaz; Jianfeng Gao (Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16-20 November 2020, 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 (Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, 2020)

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

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

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

The Return of Lexical Dependencies: Neural Lexicalized PCFGs - Hao Zhu; Yonatan Bisk; Graham Neubig (CoRR, 2020)

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

HellaSwag: Can a Machine Really Finish Your Sentence? - Rowan Zellers; Ari Holtzman; Yonatan Bisk; Ali Farhadi; Yejin Choi (Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers, 2019)

Character-based Surprisal as a Model of Reading Difficulty in the Presence of Errors - Michael Hahn; Frank Keller; Yonatan Bisk; Yonatan Belinkov (Proceedings of the 41th Annual Meeting of the Cognitive Science Society, CogSci 2019: Creativity + Cognition + Computation, Montreal, Canada, July 24-27, 2019, 2019)

From Recognition to Cognition: Visual Commonsense Reasoning - Rowan Zellers; Yonatan Bisk; Ali Farhadi; Yejin Choi (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation - Liyiming Ke; Xiujun Li; Yonatan Bisk; Ari Holtzman; Zhe Gan; Jingjing Liu; Jianfeng Gao; Yejin Choi; Siddhartha S. Srinivasa (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Robust Navigation with Language Pretraining and Stochastic Sampling - Xiujun Li; Chunyuan Li; Qiaolin Xia; Yonatan Bisk; Asli Celikyilmaz; Jianfeng Gao; Noah A. Smith; Yejin Choi (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019)

Prospection: Interpretable plans from language by predicting the future - Chris Paxton; Yonatan Bisk; Jesse Thomason; Arunkumar Byravan; Dieter Fox (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

EARLY FUSION for Goal Directed Robotic Vision - Aaron Walsman; Yonatan Bisk; Saadia Gabriel; Dipendra Misra; Yoav Artzi; Yejin Choi; Dieter Fox (2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, 2019)

Improving Robot Success Detection using Static Object Data - Rosario Scalise; Jesse Thomason; Yonatan Bisk; Siddhartha S. Srinivasa (2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, 2019)

Shifting the Baseline: Single Modality Performance on Visual Navigation & QA - Jesse Thomason; Daniel Gordon; Yonatan Bisk (Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers), 2019)

Benchmarking Hierarchical Script Knowledge - Yonatan Bisk; Jan Buys; Karl Pichotta; Yejin Choi (Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers), 2019)

Defending Against Neural Fake News - Rowan Zellers; Ari Holtzman; Hannah Rashkin; Yonatan Bisk; Ali Farhadi; Franziska Roesner; Yejin Choi (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

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

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

Prospection: Interpretable Plans From Language By Predicting the Future - Chris Paxton; Yonatan Bisk; Jesse Thomason; Arunkumar Byravan; Dieter Fox (CoRR, 2019)

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

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

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

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

PIQA: Reasoning about Physical Commonsense in Natural Language - Yonatan Bisk; Rowan Zellers; Ronan Le Bras; Jianfeng Gao; Yejin Choi (CoRR, 2019)

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 (CoRR, 2019)

Learning Interpretable Spatial Operations in a Rich 3D Blocks World - Yonatan Bisk; Kevin J. Shih; Yejin Choi; Daniel Marcu (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Inducing Grammars with and for Neural Machine Translation - Yonatan Bisk; Ke M. Tran (Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, NMT@ACL 2018, Melbourne, Australia, July 20, 2018, 2018)

SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference - Rowan Zellers; Yonatan Bisk; Roy Schwartz; Yejin Choi (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 2018)

Synthetic and Natural Noise Both Break Neural Machine Translation - Yonatan Belinkov; Yonatan Bisk (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 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; Siddhartha S. Srinivasa (CoRR, 2018)

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

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

Shifting the Baseline: Single Modality Performance on Visual Navigation & QA - Jesse Thomason; Daniel Gordon; Yonatan Bisk (CoRR, 2018)

Early Fusion for Goal Directed Robotic Vision - Aaron Walsman; Yonatan Bisk; Saadia Gabriel; Dipendra Kumar Misra; Yoav Artzi; Yejin Choi; Dieter Fox (CoRR, 2018)

From Recognition to Cognition: Visual Commonsense Reasoning - Rowan Zellers; Yonatan Bisk; Ali Farhadi; Yejin Choi (CoRR, 2018)

Natural Language Inference from Multiple Premises - Alice Lai; Yonatan Bisk; Julia Hockenmaier (Proceedings of the Eighth International Joint Conference on Natural Language Processing, IJCNLP 2017, Taipei, Taiwan, November 27 - December 1, 2017 - Volume 1: Long Papers, 2017)

Proceedings of the First Workshop on Language Grounding for Robotics, RoboNLP@ACL 2017, Vancouver, Canada, August 3, 2017 - Mohit Bansal; Cynthia Matuszek; Jacob Andreas; Yoav Artzi; Yonatan Bisk (Association for Computational Linguistics, 2017)

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

Synthetic and Natural Noise Both Break Neural Machine Translation - Yonatan Belinkov; Yonatan Bisk (CoRR, 2017)

Learning Interpretable Spatial Operations in a Rich 3D Blocks World - Yonatan Bisk; Kevin J. Shih; Yejin Choi; Daniel Marcu (CoRR, 2017)

Towards a Dataset for Human Computer Communication via Grounded Language Acquisition - Yonatan Bisk; Daniel Marcu; William Wong (Symbiotic Cognitive Systems, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016, 2016)

Unsupervised Neural Hidden Markov Models - Ke M. Tran; Yonatan Bisk; Ashish Vaswani; Daniel Marcu; Kevin Knight (Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, Austin, TX, USA, November 5, 2016, 2016)

Evaluating Induced CCG Parsers on Grounded Semantic Parsing - Yonatan Bisk; Siva Reddy; John Blitzer; Julia Hockenmaier; Mark Steedman (Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016, 2016)

Supertagging With LSTMs - Ashish Vaswani; Yonatan Bisk; Kenji Sagae; Ryan Musa (NAACL HLT 2016, The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego California, USA, June 12-17, 2016, 2016)

Natural Language Communication with Robots - Yonatan Bisk; Deniz Yuret; Daniel Marcu (NAACL HLT 2016, The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego California, USA, June 12-17, 2016, 2016)

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

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

Unsupervised grammar induction with Combinatory Categorial Grammars - Yonatan Bisk (University of Illinois Urbana-Champaign, USA, 2015)

Labeled Grammar Induction with Minimal Supervision - Yonatan Bisk; Christos Christodoulopoulos; Julia Hockenmaier (Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, China, Volume 2: Short Papers, 2015)

Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction - Yonatan Bisk; Julia Hockenmaier (Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, China, Volume 1: Long Papers, 2015)

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

Simple Robust Grammar Induction with Combinatory Categorial Grammars - Yonatan Bisk; Julia Hockenmaier (Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada, 2012)

Document-topic hierarchies from document graphs - Tim Weninger; Yonatan Bisk; Jiawei Han (21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012, 2012)

Normal-form parsing for Combinatory Categorial Grammars with generalized composition and type-raising - Julia Hockenmaier; Yonatan Bisk (COLING 2010, 23rd International Conference on Computational Linguistics, Proceedings of the Conference, 23-27 August 2010, Beijing, China, 2010)