Bayesian geometric modeling of indoor scenes. - Luca Del Pero; Joshua Bowdish; Daniel Fried; Bonnie Kermgard; Emily Hartley; Kobus Barnard (CVPR, 2012)

A generative probabilistic framework for learning spatial language. - Colin R. Dawson; Jeremy B. Wright; Antons Rebguns; Marco Antonio Valenzuela-Escárcega; Daniel Fried; Paul R. Cohen (ICDL-EPIROB, 2013)

Predicting Parallelization of Sequential Programs Using Supervised Learning. - Daniel Fried; Zhen Li 005; Ali Jannesari; Felix Wolf 001 (ICMLA (2), 2013)

Maps of Computer Science. - Daniel Fried; Stephen G. Kobourov (PacificVis, 2014)

Analyzing the language of food on social media. - Daniel Fried; Mihai Surdeanu; Stephen G. Kobourov; Melanie Hingle; Dane Bell (IEEE BigData, 2014)

Low-Rank Tensors for Verbs in Compositional Distributional Semantics. - Daniel Fried; Tamara Polajnar; Stephen Clark (ACL (2), 2015)

Incorporating Both Distributional and Relational Semantics in Word Representations. - Daniel Fried; Kevin Duh (ICLR (Workshop), 2015)

Higher-order Lexical Semantic Models for Non-factoid Answer Reranking. - Daniel Fried; Peter Jansen 001; Gustave Hahn-Powell; Mihai Surdeanu; Peter Clark (Trans. Assoc. Comput. Linguistics, 2015)

Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness. - Dane Bell; Daniel Fried; Luwen Huangfu; Mihai Surdeanu; Stephen G. Kobourov (LREC, 2016)

Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. - Daniel Fried; Mitchell Stern; Dan Klein 001 (ACL (2), 2017)

Effective Inference for Generative Neural Parsing. - Mitchell Stern; Daniel Fried; Dan Klein 001 (EMNLP, 2017)

Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing. - Daniel Fried; Dan Klein 001 (ACL (2), 2018)

Unified Pragmatic Models for Generating and Following Instructions. - Daniel Fried; Jacob Andreas; Dan Klein 001 (NAACL-HLT, 2018)

Speaker-Follower Models for Vision-and-Language Navigation. - Daniel Fried; Ronghang Hu; Volkan Cirik; Anna Rohrbach; Jacob Andreas; Louis-Philippe Morency; Taylor Berg-Kirkpatrick; Kate Saenko; Dan Klein 001; Trevor Darrell (NeurIPS, 2018)

Cross-Domain Generalization of Neural Constituency Parsers. - Daniel Fried; Nikita Kitaev; Dan Klein 001 (ACL (1), 2019)

Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. - Ronghang Hu; Daniel Fried; Anna Rohrbach; Dan Klein 001; Trevor Darrell; Kate Saenko (ACL (1), 2019)

Pragmatically Informative Text Generation. - Sheng Shen 001; Daniel Fried; Jacob Andreas; Dan Klein 001 (NAACL-HLT (1), 2019)

Learning to Segment Actions from Observation and Narration. - Daniel Fried; Jean-Baptiste Alayrac; Phil Blunsom; Chris Dyer; Stephen Clark; Aida Nematzadeh (ACL, 2020)

Modularity Improves Out-of-Domain Instruction Following. - Rodolfo Corona; Daniel Fried; Coline Devin; Dan Klein 001; Trevor Darrell (CoRR, 2020)

Syntactic Structure Distillation Pretraining for Bidirectional Encoders. - Adhiguna Kuncoro; Lingpeng Kong; Daniel Fried; Dani Yogatama; Laura Rimell; Chris Dyer; Phil Blunsom (Trans. Assoc. Comput. Linguistics, 2020)

Reference-Centric Models for Grounded Collaborative Dialogue. - Daniel Fried; Justin T. Chiu; Dan Klein 001 (EMNLP (1), 2021)

Modular Networks for Compositional Instruction Following. - Rodolfo Corona; Daniel Fried; Coline Devin; Dan Klein 001; Trevor Darrell (NAACL-HLT, 2021)

Learning Grounded Pragmatic Communication - Daniel Fried (2021)

Inferring Rewards from Language in Context. - Jessy Lin; Daniel Fried; Dan Klein 001; Anca D. Dragan (ACL (1), 2022)

G3: Geolocation via Guidebook Grounding. - Grace Luo; Giscard Biamby; Trevor Darrell; Daniel Fried; Anna Rohrbach (EMNLP (Findings), 2022)

Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. - Maarten Sap; Ronan Le Bras 001; Daniel Fried; Yejin Choi 001 (EMNLP, 2022)

Natural Language to Code Translation with Execution. - Freda Shi; Daniel Fried; Marjan Ghazvininejad; Luke Zettlemoyer; Sida I. Wang (EMNLP, 2022)

Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches. - Daniel Fried; Nicholas Tomlin; Jennifer Hu 001; Roma Patel; Aida Nematzadeh (CoRR, 2022)

AutoReply: Detecting Nonsense in Dialogue Introspectively with Discriminative Replies. - Weiyan Shi; Emily Dinan; Adi Renduchintala; Daniel Fried; Athul Paul Jacob; Zhou Yu; Mike Lewis (CoRR, 2022)

G^3: Geolocation via Guidebook Grounding. - Grace Luo; Giscard Biamby; Trevor Darrell; Daniel Fried; Anna Rohrbach (CoRR, 2022)

Contrastive Decoding: Open-ended Text Generation as Optimization. - Xiang Lisa Li; Ari Holtzman; Daniel Fried; Percy Liang; Jason Eisner; Tatsunori Hashimoto; Luke Zettlemoyer; Mike Lewis (ACL (1), 2023)

Pragmatic Inference with a CLIP Listener for Contrastive Captioning. - Jiefu Ou; Benno Krojer; Daniel Fried (ACL (Findings), 2023)

API-Assisted Code Generation for Question Answering on Varied Table Structures. - Yihan Cao; Shuyi Chen; Ryan Liu 001; Zhiruo Wang; Daniel Fried (EMNLP, 2023)

Symbolic Planning and Code Generation for Grounded Dialogue. - Justin T. Chiu; Wenting Zhao; Derek Chen; Saujas Vaduguru; Alexander M. Rush; Daniel Fried (EMNLP, 2023)

Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches. - Daniel Fried; Nicholas Tomlin; Jennifer Hu 001; Roma Patel; Aida Nematzadeh (EMNLP (Findings), 2023)

AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies. - Weiyan Shi; Emily Dinan; Adi Renduchintala; Daniel Fried; Athul Paul Jacob; Zhou Yu; Mike Lewis (EMNLP (Findings), 2023)

Execution-Based Evaluation for Open-Domain Code Generation. - Zhiruo Wang; Shuyan Zhou; Daniel Fried; Graham Neubig (EMNLP (Findings), 2023)

Data Augmentation for Code Translation with Comparable Corpora and Multiple References. - Yiqing Xie; Atharva Naik; Daniel Fried; Carolyn P. Rosé (EMNLP (Findings), 2023)

InCoder: A Generative Model for Code Infilling and Synthesis. - Daniel Fried; Armen Aghajanyan; Jessy Lin; Sida Wang 001; Eric Wallace; Freda Shi; Ruiqi Zhong; Scott Yih; Luke Zettlemoyer; Mike Lewis (ICLR, 2023)

Grounding Language Models to Images for Multimodal Inputs and Outputs. - Jing Yu Koh; Ruslan Salakhutdinov; Daniel Fried (ICML, 2023)

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. - Yuhang Lai; Chengxi Li 011; Yiming Wang; Tianyi Zhang; Ruiqi Zhong; Luke Zettlemoyer; Wen-Tau Yih; Daniel Fried; Sida I. Wang; Tao Yu 009 (ICML, 2023)

Coder Reviewer Reranking for Code Generation. - Tianyi Zhang; Tao Yu 009; Tatsunori Hashimoto; Mike Lewis; Wen-Tau Yih; Daniel Fried; Sida Wang 001 (ICML, 2023)

Generating Images with Multimodal Language Models. - Jing Yu Koh; Daniel Fried; Russ Salakhutdinov (NeurIPS, 2023)

SantaCoder: don't reach for the stars! - Loubna Ben Allal; Raymond Li; Denis Kocetkov; Chenghao Mou; Christopher Akiki; Carlos Muñoz Ferrandis; Niklas Muennighoff; Mayank Mishra; Alex Gu; Manan Dey; Logesh Kumar Umapathi; Carolyn Jane Anderson; et al. (CoRR, 2023)

Grounding Language Models to Images for Multimodal Generation. - Jing Yu Koh; Ruslan Salakhutdinov; Daniel Fried (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)

Comparative Knowledge Distillation. - Alex Wilf; Alex Tianyi Xu; Paul Pu Liang; Alexander Obolenskiy; Daniel Fried; Louis-Philippe Morency (CoRR, 2023)

StarCoder: may the source be with you! - Raymond Li; Loubna Ben Allal; Yangtian Zi; Niklas Muennighoff; Denis Kocetkov; Chenghao Mou; Marc Marone; Christopher Akiki; Jia Li 015; Jenny Chim; Qian Liu 012; Evgenii Zheltonozhskii; et al. (Trans. Mach. Learn. Res., 2023)

VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. - Jing Yu Koh; Robert Lo; Lawrence Jang; Vikram Duvvur; Ming Chong Lim; Po-Yu Huang; Graham Neubig; Shuyan Zhou; Russ Salakhutdinov; Daniel Fried (ACL (1), 2024)

Evaluating Large Language Model Biases in Persona-Steered Generation. - Andy Liu; Mona T. Diab; Daniel Fried (ACL (Findings), 2024)

Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Non-Literal Intent Resolution in LLMs. - Akhila Yerukola; Saujas Vaduguru; Daniel Fried; Maarten Sap (ACL (Short Papers), 2024)

ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness? - Siddhant Waghjale; Vishruth Veerendranath; Zhiruo Wang; Daniel Fried (EMNLP, 2024)

Generating Pragmatic Examples to Train Neural Program Synthesizers. - Saujas Vaduguru; Daniel Fried; Yewen Pu (ICLR, 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)

Amortizing Pragmatic Program Synthesis with Rankings. - Yewen Pu; Saujas Vaduguru; Priyan Vaithilingam; Elena L. Glassman; Daniel Fried (ICML, 2024)

TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. - Zhiruo Wang; Graham Neubig; Daniel Fried (ICML, 2024)

Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication. - Shenghui Chen; Daniel Fried; Ufuk Topcu (IJCAI, 2024)

Asking More Informative Questions for Grounded Retrieval. - Sedrick Keh; Justin T. Chiu; Daniel Fried (NAACL-HLT (Findings), 2024)

What Are Tools Anyway? A Survey from the Language Model Perspective. - Zhiruo Wang; Zhoujun Cheng; Hao Zhu 011; Daniel Fried; Graham Neubig (CoRR, 2024)

CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks. - Yiqing Xie; Alex Xie; Divyanshu Sheth; Pengfei Liu; Daniel Fried; Carolyn P. Rosé (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)

Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Intent Resolution in LLMs. - Akhila Yerukola; Saujas Vaduguru; Daniel Fried; Maarten Sap (CoRR, 2024)

Adversarial Attacks on Multimodal Agents. - Chen Henry Wu; Jing Yu Koh; Ruslan Salakhutdinov; Daniel Fried; Aditi Raghunathan (CoRR, 2024)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. - Terry Yue Zhuo; Minh Chien Vu; Jenny Chim; Han Hu; Wenhao Yu 002; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; Chen Gong 005; et al. (CoRR, 2024)

Tree Search for Language Model Agents. - Jing Yu Koh; Stephen McAleer; Daniel Fried; Ruslan Salakhutdinov (CoRR, 2024)

ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness? - Siddhant Waghjale; Vishruth Veerendranath; Zora Zhiruo Wang; Daniel Fried (CoRR, 2024)

Agent Workflow Memory. - Zora Zhiruo Wang; Jiayuan Mao; Daniel Fried; Graham Neubig (CoRR, 2024)

Improving Model Factuality with Fine-grained Critique-based Evaluator. - Yiqing Xie; Wenxuan Zhou; Pradyot Prakash; Di Jin; Yuning Mao; Quintin Fettes; Arya Talebzadeh; Sinong Wang; Han Fang; Carolyn P. Rosé; Daniel Fried; Hejia Zhang (ACL (1), 2025)

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)

Human-Aligned Chess With a Bit of Search. - Yiming Zhang 022; Athul Paul Jacob; Vivian Lai; Daniel Fried; Daphne Ippolito (ICLR, 2025)

Repetition Improves Language Model Embeddings. - Jacob Mitchell Springer; Suhas Kotha; Daniel Fried; Graham Neubig; Aditi Raghunathan (ICLR, 2025)

Dissecting Adversarial Robustness of Multimodal LM Agents. - Chen Henry Wu; Rishi Rajesh Shah; Jing Yu Koh; Russ Salakhutdinov; Daniel Fried; Aditi Raghunathan (ICLR, 2025)

Dynamic Coalition Structure Detection in Natural-Language-based Interactions. - Abhishek Ninad Kulkarni; Andy Liu; Jean-Raphaël Gaglione; Daniel Fried; Ufuk Topcu (AAMAS, 2025)

CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells. - Atharva Naik; Marcus Alenius; Daniel Fried; Carolyn P. Rosé (NAACL (Long Papers), 2025)

CodeRAG-Bench: Can Retrieval Augment Code Generation? - Zora Zhiruo Wang; Akari Asai; Xinyan Velocity Yu; Frank F. Xu; Yiqing Xie; Graham Neubig; Daniel Fried (NAACL (Findings), 2025)

Comparative Knowledge Distillation. - Alex Tianyi Xu; Alex Wilf; Paul Pu Liang; Alexander Obolenskiv; Daniel Fried; Louis-Philippe Morency (WACV, 2025)

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution. - Yuxiang Wei 003; Olivier Duchenne; Jade Copet; Quentin Carbonneaux; Lingming Zhang 001; Daniel Fried; Gabriel Synnaeve; Rishabh Singh; Sida I. Wang (CoRR, 2025)

RepoST: Scalable Repository-Level Coding Environment Construction with Sandbox Testing. - Yiqing Xie; Alex Xie; Divyanshu Sheth; Pengfei Liu; Daniel Fried; Carolyn P. Rosé (CoRR, 2025)

Inducing Programmatic Skills for Agentic Tasks. - Zora Zhiruo Wang; Apurva Gandhi; Graham Neubig; Daniel Fried (CoRR, 2025)

mrCAD: Multimodal Refinement of Computer-aided Designs. - William P. McCarthy; Saujas Vaduguru; Karl D. D. Willis; Justin Matejka; Judith E. Fan; Daniel Fried; Yewen Pu (CoRR, 2025)

Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening. - Andre He; Daniel Fried; Sean Welleck (CoRR, 2025)

From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking. - Gyeongwon James Kim; Alex Wilf; Louis-Philippe Morency; Daniel Fried (CoRR, 2025)

MetaLint: Generalizable Idiomatic Code Quality Analysis through Instruction-Following and Easy-to-Hard Generalization. - Atharva Naik; Lawanya Baghel; Dhakshin Govindarajan; Darsh Agrawal; Daniel Fried; Carolyn P. Rosé (CoRR, 2025)

Analyzing Information Sharing and Coordination in Multi-Agent Planning. - Tianyue Ou; Saujas Vaduguru; Daniel Fried (CoRR, 2025)