Daniel Fried

According to our database, Daniel Fried authored at least 73 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

CoRR, 2024

Human-aligned Chess with a Bit of Search.

Yiming Zhang, Athul Paul Jacob, Vivian Lai, Daniel Fried, Daphne Ippolito

CoRR, 2024

CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells.

Atharva Naik, Marcus Alenius, Daniel Fried, Carolyn P. Rosé

CoRR, 2024

Agent Workflow Memory.

Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, Graham Neubig

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

Tree Search for Language Model Agents.

Jing Yu Koh, Stephen McAleer, Daniel Fried, Ruslan Salakhutdinov

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, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra

CoRR, 2024

CodeRAG-Bench: Can Retrieval Augment Code Generation?

Zora Zhiruo Wang, Akari Asai, Xinyan Velocity Yu, Frank F. Xu, Yiqing Xie, Graham Neubig, Daniel Fried

CoRR, 2024

Adversarial Attacks on Multimodal Agents.

Chen Henry Wu, Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried, Aditi Raghunathan

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

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, Matthew Marge, Cynthia Matuszek, Ross Mead, Shiwali Mohan, Raymond J. Mooney, Natalie Parde, Jivko Sinapov, Angela Stewart, Matthew Stone, Stefanie Tellex, Tom Williams

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

What Are Tools Anyway? A Survey from the Language Model Perspective.

Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig

CoRR, 2024

Repetition Improves Language Model Embeddings.

Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi Raghunathan

CoRR, 2024

Asking More Informative Questions for Grounded Retrieval.

Sedrick Keh, Justin T. Chiu, Daniel Fried

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication.

Shenghui Chen, Daniel Fried, Ufuk Topcu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks.

Zhiruo Wang, Graham Neubig, Daniel Fried

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Amortizing Pragmatic Program Synthesis with Rankings.

Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam, Elena L. Glassman, Daniel Fried

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generating Pragmatic Examples to Train Neural Program Synthesizers.

Saujas Vaduguru, Daniel Fried, Yewen Pu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?

Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Evaluating Large Language Model Biases in Persona-Steered Generation.

Andy Liu, Mona Diab, Daniel Fried

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

Trans. Mach. Learn. Res., 2023

Comparative Knowledge Distillation.

Alex Wilf, Alex Tianyi Xu, Paul Pu Liang, Alexander Obolenskiy, Daniel Fried, Louis-Philippe Morency

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

Grounding Language Models to Images for Multimodal Generation.

Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried

CoRR, 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, Yangtian Zi, Joel Lamy-Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, Leandro von Werra

CoRR, 2023

Generating Images with Multimodal Language Models.

Jing Yu Koh, Daniel Fried, Russ Salakhutdinov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Coder Reviewer Reranking for Code Generation.

Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang

Proceedings of the International Conference on Machine Learning, 2023

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation.

Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida I. Wang, Tao Yu

Proceedings of the International Conference on Machine Learning, 2023

Grounding Language Models to Images for Multimodal Inputs and Outputs.

Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried

Proceedings of the International Conference on Machine Learning, 2023

InCoder: A Generative Model for Code Infilling and Synthesis.

Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Data Augmentation for Code Translation with Comparable Corpora and Multiple References.

Yiqing Xie, Atharva Naik, Daniel Fried, Carolyn P. Rosé

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Execution-Based Evaluation for Open-Domain Code Generation.

Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies.

Weiyan Shi, Emily Dinan, Adi Renduchintala, Daniel Fried, Athul Paul Jacob, Zhou Yu, Mike Lewis

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches.

Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Symbolic Planning and Code Generation for Grounded Dialogue.

Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush, Daniel Fried

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

API-Assisted Code Generation for Question Answering on Varied Table Structures.

Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Pragmatic Inference with a CLIP Listener for Contrastive Captioning.

Jiefu Ou, Benno Krojer, Daniel Fried

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

G^3: Geolocation via Guidebook Grounding.

Grace Luo, Giscard Biamby, Trevor Darrell, Daniel Fried, Anna Rohrbach

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

Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches.

Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh

CoRR, 2022

Natural Language to Code Translation with Execution.

Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs.

Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

G3: Geolocation via Guidebook Grounding.

Grace Luo, Giscard Biamby, Trevor Darrell, Daniel Fried, Anna Rohrbach

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Inferring Rewards from Language in Context.

Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Learning Grounded Pragmatic Communication

Daniel Fried

PhD thesis, 2021

Modular Networks for Compositional Instruction Following.

Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Reference-Centric Models for Grounded Collaborative Dialogue.

Daniel Fried, Justin T. Chiu, Dan Klein

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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

Modularity Improves Out-of-Domain Instruction Following.

Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell

CoRR, 2020

Learning to Segment Actions from Observation and Narration.

Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Pragmatically Informative Text Generation.

Sheng Shen, Daniel Fried, Jacob Andreas, Dan Klein

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation.

Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cross-Domain Generalization of Neural Constituency Parsers.

Daniel Fried, Nikita Kitaev, Dan Klein

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Unified Pragmatic Models for Generating and Following Instructions.

Daniel Fried, Jacob Andreas, Dan Klein

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing.

Daniel Fried, Dan Klein

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Effective Inference for Generative Neural Parsing.

Mitchell Stern, Daniel Fried, Dan Klein

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Improving Neural Parsing by Disentangling Model Combination and Reranking Effects.

Daniel Fried, Mitchell Stern, Dan Klein

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness.

Dane Bell, Daniel Fried, Luwen Huangfu, Mihai Surdeanu, Stephen G. Kobourov

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

2015

Higher-order Lexical Semantic Models for Non-factoid Answer Reranking.

Daniel Fried, Peter Jansen, Gustave Hahn-Powell, Mihai Surdeanu, Peter Clark

Trans. Assoc. Comput. Linguistics, 2015

Incorporating Both Distributional and Relational Semantics in Word Representations.

Daniel Fried, Kevin Duh

Proceedings of the 3rd International Conference on Learning Representations, 2015

Low-Rank Tensors for Verbs in Compositional Distributional Semantics.

Daniel Fried, Tamara Polajnar, Stephen Clark

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, 2015

2014

Analyzing the language of food on social media.

Daniel Fried, Mihai Surdeanu, Stephen G. Kobourov, Melanie Hingle, Dane Bell

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Maps of Computer Science.

Daniel Fried, Stephen G. Kobourov

Proceedings of the IEEE Pacific Visualization Symposium, 2014

2013

Predicting Parallelization of Sequential Programs Using Supervised Learning.

Daniel Fried, Zhen Li, Ali Jannesari, Felix Wolf

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

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

Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013

2012

Bayesian geometric modeling of indoor scenes.

Luca Del Pero, Joshua Bowdish, Daniel Fried, Bonnie Kermgard, Emily Hartley, Kobus Barnard

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012