A Corpus of Natural Language for Visual Reasoning. - Alane Suhr; Mike Lewis; James Yeh; Yoav Artzi (ACL (2), 2017)

Visual Reasoning with Natural Language. - Stephanie Zhou; Alane Suhr; Yoav Artzi (CoRR, 2017)

Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation. - Alane Suhr; Yoav Artzi (ACL (1), 2018)

Neural Semantic Parsing. - Matt Gardner 001; Pradeep Dasigi; Srinivasan Iyer 001; Alane Suhr; Luke Zettlemoyer (ACL (5), 2018)

Learning to Map Context-Dependent Sentences to Executable Formal Queries. - Alane Suhr; Srinivasan Iyer 001; Yoav Artzi (NAACL-HLT, 2018)

Evaluating Visual Reasoning through Grounded Language Understanding. - Alane Suhr; Mike Lewis; James Yeh; Yoav Artzi (AI Mag., 2018)

A Corpus for Reasoning About Natural Language Grounded in Photographs. - Alane Suhr; Stephanie Zhou; Iris Zhang; Huajun Bai; Yoav Artzi (CoRR, 2018)

A Corpus for Reasoning about Natural Language Grounded in Photographs. - Alane Suhr; Stephanie Zhou; Ally Zhang; Iris Zhang; Huajun Bai; Yoav Artzi (ACL (1), 2019)

TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. - Howard Chen 003; Alane Suhr; Dipendra Misra; Noah Snavely; Yoav Artzi (CVPR, 2019)

Executing Instructions in Situated Collaborative Interactions. - Alane Suhr; Claudia Yan; Jacob Schluger; Stanley Yu; Hadi Khader; Marwa Mouallem; Iris Zhang; Yoav Artzi (EMNLP/IJCNLP (1), 2019)

NLVR2 Visual Bias Analysis. - Alane Suhr; Yoav Artzi (CoRR, 2019)

Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing. - Alane Suhr; Ming-Wei Chang; Peter Shaw 004; Kenton Lee (ACL, 2020)

Analysis of Language Change in Collaborative Instruction Following. - Anna Effenberger; Rhia Singh; Eva Yan; Alane Suhr; Yoav Artzi (EMNLP (Findings), 2021)

Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior. - Noriyuki Kojima; Alane Suhr; Yoav Artzi (Trans. Assoc. Comput. Linguistics, 2021)

Abstract Visual Reasoning with Tangram Shapes. - Anya Ji; Noriyuki Kojima; Noah Rush; Alane Suhr; Wai Keen Vong; Robert D. Hawkins; Yoav Artzi (EMNLP, 2022)

Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. - Melanie Sclar; Sachin Kumar 009; Peter West; Alane Suhr; Yejin Choi 001; Yulia Tsvetkov (ACL (1), 2023)

We're Afraid Language Models Aren't Modeling Ambiguity. - Alisa Liu; Zhaofeng Wu; Julian Michael; Alane Suhr; Peter West; Alexander Koller; Swabha Swayamdipta; Noah A. Smith; Yejin Choi 001 (EMNLP, 2023)

Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling. - Kolby Nottingham; Prithviraj Ammanabrolu; Alane Suhr; Yejin Choi 001; Hannaneh Hajishirzi; Sameer Singh 001; Roy Fox (ICML, 2023)

Continual Learning for Instruction Following from Realtime Feedback. - Alane Suhr; Yoav Artzi (NeurIPS, 2023)

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. - Zeqiu Wu; Yushi Hu; Weijia Shi; Nouha Dziri; Alane Suhr; Prithviraj Ammanabrolu; Noah A. Smith; Mari Ostendorf; Hannaneh Hajishirzi (NeurIPS, 2023)

What's In My Big Data? - Yanai Elazar; Akshita Bhagia; Ian Magnusson; Abhilasha Ravichander; Dustin Schwenk; Alane Suhr; Pete Walsh; Dirk Groeneveld; Luca Soldaini; Sameer Singh 001; Hanna Hajishirzi; Noah A. Smith; et al. (CoRR, 2023)

Using Language Models to Disambiguate Lexical Choices in Translation. - Josh Barua; Sanjay Subramanian; Kayo Yin; Alane Suhr (EMNLP, 2024)

Grounding Language in Multi-Perspective Referential Communication. - Zineng Tang; Lingjun Mao; Alane Suhr (EMNLP, 2024)

What's In My Big Data? - Yanai Elazar; Akshita Bhagia; Ian Magnusson; Abhilasha Ravichander; Dustin Schwenk; Alane Suhr; Evan Pete Walsh; Dirk Groeneveld; Luca Soldaini; Sameer Singh 001; Hannaneh Hajishirzi; Noah A. Smith; et al. (ICLR, 2024)

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting. - Melanie Sclar; Yejin Choi 001; Yulia Tsvetkov; Alane Suhr (ICLR, 2024)

UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. - Wenting Zhao; Justin T. Chiu; Jena D. Hwang; Faeze Brahman; Jack Hessel; Sanjiban Choudhury; Yejin Choi 001; Xiang Li 069; Alane Suhr (NAACL-HLT, 2024)

DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning. - Hao Bai; Yifei Zhou; Jiayi Pan; Mert Cemri; Alane Suhr; Sergey Levine; Aviral Kumar (NeurIPS, 2024)

Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. - Simon Zhai; Hao Bai; Zipeng Lin; Jiayi Pan; Peter Tong; Yifei Zhou; Alane Suhr; Saining Xie; Yann LeCun; Yi Ma 001; Sergey Levine (NeurIPS, 2024)

Autonomous Evaluation and Refinement of Digital Agents. - Jiayi Pan; Yichi Zhang 001; Nicholas Tomlin; Yifei Zhou; Sergey Levine; Alane Suhr (CoRR, 2024)

Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. - Yuexiang Zhai; Hao Bai; Zipeng Lin; Jiayi Pan; Shengbang Tong; Yifei Zhou; Alane Suhr; Saining Xie; Yann LeCun; Yi Ma 001; Sergey Levine (CoRR, 2024)

Training Software Engineering Agents and Verifiers with SWE-Gym. - Jiayi Pan; Xingyao Wang 002; Graham Neubig; Navdeep Jaitly; Heng Ji 001; Alane Suhr; Yizhe Zhang 002 (CoRR, 2024)

AutoPresent: Designing Structured Visuals from Scratch. - Jiaxin Ge; Zora Zhiruo Wang; Xuhui Zhou; Yi-Hao Peng; Sanjay Subramanian; Qinyue Tan; Maarten Sap; Alane Suhr; Daniel Fried; Graham Neubig; Trevor Darrell (CVPR, 2025)

Evaluating Model Perception of Color Illusions in Photorealistic Scenes. - Lingjun Mao; Zineng Tang; Alane Suhr (CVPR, 2025)

TULIP: Towards Unified Language-Image Pretraining. - Zineng Tang; Long Lian; Seun Eisape; Xudong Wang 007; Roei Herzig; Adam Yala; Alane Suhr; Trevor Darrell; David M. Chan (CoRR, 2025)

Learning Adaptive Parallel Reasoning with Language Models. - Jiayi Pan; Xiuyu Li; Long Lian; Charlie Snell; Yifei Zhou; Adam Yala; Trevor Darrell; Kurt Keutzer; Alane Suhr (CoRR, 2025)

Long Chain-of-Thought Reasoning Across Languages. - Josh Barua; Seun Eisape; Kayo Yin; Alane Suhr (CoRR, 2025)