Daniel Fried
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
54
Venues
10
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
54 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Success and Cost Elicit Convention Formation for Efficient Communication. | Saujas Vaduguru, Yilun Hua, Yoav Artzi, Daniel Fried |
| 2025 | ACL | 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. Ros, Daniel Fried, Hejia Zhang |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening. | Andre Wang He, Daniel Fried, Sean Welleck |
| 2025 | EMNLP | Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation. | Mert Inan, Anthony Sicilia, Alex Xie, Saujas Vaduguru, Daniel Fried, Malihe Alikhani |
| 2025 | EMNLP | mrCAD: Multimodal Communication to Refine Computer-aided Designs. | William P. McCarthy, Saujas Vaduguru, Karl D. D. Willis, Justin Matejka, Judith E. Fan, Daniel Fried, Yewen Pu |
| 2025 | ICLR | Human-Aligned Chess With a Bit of Search. | Yiming Zhang, Athul Paul Jacob, Vivian Lai, Daniel Fried, Daphne Ippolito |
| 2025 | ICLR | Repetition Improves Language Model Embeddings. | Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi Raghunathan |
| 2025 | ICLR | Dissecting Adversarial Robustness of Multimodal LM Agents. | Chen Henry Wu, Rishi Rajesh Shah, Jing Yu Koh, Russ Salakhutdinov, Daniel Fried, Aditi Raghunathan |
| 2025 | ICML | Agent Workflow Memory. | Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, Graham Neubig |
| 2025 | NAACL | CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells. | Atharva Naik, Marcus Alenius, Daniel Fried, Carolyn P. Ros |
| 2025 | NAACL | CodeRAG-Bench: Can Retrieval Augment Code Generation? | Zora Zhiruo Wang, Akari Asai, Xinyan Velocity Yu, Frank F. Xu, Yiqing Xie, Graham Neubig, Daniel Fried |
| 2025 | WACV | Comparative Knowledge Distillation. | Alex Tianyi Xu, Alex Wilf, Paul Pu Liang, Alexander Obolenskiv, Daniel Fried, Louis-Philippe Morency |
| 2024 | ACL | 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 |
| 2024 | ACL | Evaluating Large Language Model Biases in Persona-Steered Generation. | Andy Liu, Mona T. Diab, Daniel Fried |
| 2024 | ACL | 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 |
| 2024 | EMNLP | ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness? | Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried |
| 2024 | ICLR | Generating Pragmatic Examples to Train Neural Program Synthesizers. | Saujas Vaduguru, Daniel Fried, Yewen Pu |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICML | Amortizing Pragmatic Program Synthesis with Rankings. | Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam, Elena L. Glassman, Daniel Fried |
| 2024 | ICML | TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. | Zhiruo Wang, Graham Neubig, Daniel Fried |
| 2024 | IJCAI | Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication. | Shenghui Chen, Daniel Fried, Ufuk Topcu |
| 2024 | NAACL | Asking More Informative Questions for Grounded Retrieval. | Sedrick Keh, Justin T. Chiu, Daniel Fried |
| 2023 | ACL | 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 |
| 2023 | ACL | Pragmatic Inference with a CLIP Listener for Contrastive Captioning. | Jiefu Ou, Benno Krojer, Daniel Fried |
| 2023 | EMNLP | API-Assisted Code Generation for Question Answering on Varied Table Structures. | Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried |
| 2023 | EMNLP | Symbolic Planning and Code Generation for Grounded Dialogue. | Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush, Daniel Fried |
| 2023 | EMNLP | Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches. | Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh |
| 2023 | EMNLP | AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies. | Weiyan Shi, Emily Dinan, Adi Renduchintala, Daniel Fried, Athul Paul Jacob, Zhou Yu, Mike Lewis |
| 2023 | EMNLP | Execution-Based Evaluation for Open-Domain Code Generation. | Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig |
| 2023 | EMNLP | Data Augmentation for Code Translation with Comparable Corpora and Multiple References. | Yiqing Xie, Atharva Naik, Daniel Fried, Carolyn P. Ros |
| 2023 | ICLR | 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 |
| 2023 | ICML | Grounding Language Models to Images for Multimodal Inputs and Outputs. | Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried |
| 2023 | ICML | 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 |
| 2023 | ICML | Coder Reviewer Reranking for Code Generation. | Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang |
| 2022 | ACL | Inferring Rewards from Language in Context. | Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan |
| 2022 | EMNLP | G3: Geolocation via Guidebook Grounding. | Grace Luo, Giscard Biamby, Trevor Darrell, Daniel Fried, Anna Rohrbach |
| 2022 | EMNLP | Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. | Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi |
| 2022 | EMNLP | Natural Language to Code Translation with Execution. | Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang |
| 2021 | EMNLP | Reference-Centric Models for Grounded Collaborative Dialogue. | Daniel Fried, Justin T. Chiu, Dan Klein |
| 2021 | NAACL | Modular Networks for Compositional Instruction Following. | Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell |
| 2020 | ACL | Learning to Segment Actions from Observation and Narration. | Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh |
| 2019 | ACL | Cross-Domain Generalization of Neural Constituency Parsers. | Daniel Fried, Nikita Kitaev, Dan Klein |
| 2019 | ACL | Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. | Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko |
| 2019 | NAACL | Pragmatically Informative Text Generation. | Sheng Shen, Daniel Fried, Jacob Andreas, Dan Klein |
| 2018 | ACL | Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing. | Daniel Fried, Dan Klein |
| 2018 | NAACL | Unified Pragmatic Models for Generating and Following Instructions. | Daniel Fried, Jacob Andreas, Dan Klein |
| 2017 | ACL | Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. | Daniel Fried, Mitchell Stern, Dan Klein |
| 2017 | EMNLP | Effective Inference for Generative Neural Parsing. | Mitchell Stern, Daniel Fried, Dan Klein |
| 2016 | LREC | Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness. | Dane Bell, Daniel Fried, Luwen Huangfu, Mihai Surdeanu, Stephen G. Kobourov |
| 2015 | ACL | Low-Rank Tensors for Verbs in Compositional Distributional Semantics. | Daniel Fried, Tamara Polajnar, Stephen Clark |
| 2013 | ICMLA | Predicting Parallelization of Sequential Programs Using Supervised Learning. | Daniel Fried, Zhen Li, Ali Jannesari, Felix Wolf |
| 2012 | CVPR | Bayesian geometric modeling of indoor scenes. | Luca Del Pero, Joshua Bowdish, Daniel Fried, Bonnie Kermgard, Emily Hartley, Kobus Barnard |