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2020 – today
- 2024
[c47]Akhila Yerukola, Saujas Vaduguru, Daniel Fried, Maarten Sap:
Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Non-Literal Intent Resolution in LLMs. ACL (Short Papers) 2024: 265-275- [c46]Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Russ Salakhutdinov, Daniel Fried:
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. ACL (1) 2024: 881-905 - [c45]Andy Liu, Mona Diab, Daniel Fried:
Evaluating Large Language Model Biases in Persona-Steered Generation. ACL (Findings) 2024: 9832-9850 - [c44]Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried:
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness? EMNLP 2024: 15362-15376 - [c43]Saujas Vaduguru, Daniel Fried, Yewen Pu:
Generating Pragmatic Examples to Train Neural Program Synthesizers. ICLR 2024 - [c42]Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap:
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. ICLR 2024 - [c41]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:
WebArena: A Realistic Web Environment for Building Autonomous Agents. ICLR 2024 - [c40]Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam, Elena L. Glassman, Daniel Fried:
Amortizing Pragmatic Program Synthesis with Rankings. ICML 2024 - [c39]Zhiruo Wang, Graham Neubig, Daniel Fried:
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. ICML 2024 - [c38]Shenghui Chen, Daniel Fried, Ufuk Topcu:
Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication. IJCAI 2024: 7833-7841 - [c37]Sedrick Keh, Justin T. Chiu, Daniel Fried:
Asking More Informative Questions for Grounded Retrieval. NAACL-HLT (Findings) 2024: 4429-4442 - [i59]Zhiruo Wang, Daniel Fried, Graham Neubig:
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. CoRR abs/2401.12869 (2024) - [i58]Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Ruslan Salakhutdinov, Daniel Fried:
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. CoRR abs/2401.13649 (2024) - [i57]Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi Raghunathan:
Repetition Improves Language Model Embeddings. CoRR abs/2402.15449 (2024) - [i56]Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig:
What Are Tools Anyway? A Survey from the Language Model Perspective. CoRR abs/2403.15452 (2024) - [i55]Yiqing Xie, Alex Xie, Divyanshu Sheth, Pengfei Liu, Daniel Fried, Carolyn P. Rosé:
CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks. CoRR abs/2404.00566 (2024) - [i54]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:
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. CoRR abs/2404.01158 (2024) - [i53]Akhila Yerukola, Saujas Vaduguru, Daniel Fried, Maarten Sap:
Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Intent Resolution in LLMs. CoRR abs/2405.08760 (2024) - [i52]Shenghui Chen, Daniel Fried, Ufuk Topcu:
Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication. CoRR abs/2405.14173 (2024) - [i51]Andy Liu, Mona Diab, Daniel Fried:
Evaluating Large Language Model Biases in Persona-Steered Generation. CoRR abs/2405.20253 (2024) - [i50]Chen Henry Wu, Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried, Aditi Raghunathan:
Adversarial Attacks on Multimodal Agents. CoRR abs/2406.12814 (2024) - [i49]Zora Zhiruo Wang, Akari Asai, Xinyan Velocity Yu, Frank F. Xu, Yiqing Xie, Graham Neubig, Daniel Fried:
CodeRAG-Bench: Can Retrieval Augment Code Generation? CoRR abs/2406.14497 (2024) - [i48]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:
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR abs/2406.15877 (2024) - [i47]Jing Yu Koh, Stephen McAleer, Daniel Fried, Ruslan Salakhutdinov:
Tree Search for Language Model Agents. CoRR abs/2407.01476 (2024) - [i46]Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam, Elena L. Glassman, Daniel Fried:
Amortizing Pragmatic Program Synthesis with Rankings. CoRR abs/2407.02499 (2024) - [i45]Siddhant Waghjale, Vishruth Veerendranath, Zora Zhiruo Wang, Daniel Fried:
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness? CoRR abs/2407.14044 (2024) - [i44]Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, Graham Neubig:
Agent Workflow Memory. CoRR abs/2409.07429 (2024) - [i43]Atharva Naik, Marcus Alenius, Daniel Fried, Carolyn P. Rosé:
CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells. CoRR abs/2409.19801 (2024) - [i42]Yiming Zhang, Athul Paul Jacob, Vivian Lai, Daniel Fried, Daphne Ippolito:
Human-aligned Chess with a Bit of Search. CoRR abs/2410.03893 (2024) - [i41]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:
Improving Model Factuality with Fine-grained Critique-based Evaluator. CoRR abs/2410.18359 (2024) - 2023
- [j3]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:
StarCoder: may the source be with you! Trans. Mach. Learn. Res. 2023 (2023) - [c36]Jiefu Ou, Benno Krojer, Daniel Fried:
Pragmatic Inference with a CLIP Listener for Contrastive Captioning. ACL (Findings) 2023: 1904-1917 - [c35]Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis:
Contrastive Decoding: Open-ended Text Generation as Optimization. ACL (1) 2023: 12286-12312 - [c34]Weiyan Shi, Emily Dinan, Adi Renduchintala, Daniel Fried, Athul Paul Jacob, Zhou Yu, Mike Lewis:
AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies. EMNLP (Findings) 2023: 294-309 - [c33]Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig:
Execution-Based Evaluation for Open-Domain Code Generation. EMNLP (Findings) 2023: 1271-1290 - [c32]Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush
, Daniel Fried:
Symbolic Planning and Code Generation for Grounded Dialogue. EMNLP 2023: 7426-7436 - [c31]Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh:
Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches. EMNLP (Findings) 2023: 12619-12640 - [c30]Yiqing Xie, Atharva Naik, Daniel Fried, Carolyn P. Rosé:
Data Augmentation for Code Translation with Comparable Corpora and Multiple References. EMNLP (Findings) 2023: 13725-13739 - [c29]Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried:
API-Assisted Code Generation for Question Answering on Varied Table Structures. EMNLP 2023: 14536-14548 - [c28]Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis:
InCoder: A Generative Model for Code Infilling and Synthesis. ICLR 2023 - [c27]Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried:
Grounding Language Models to Images for Multimodal Inputs and Outputs. ICML 2023: 17283-17300 - [c26]Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida I. Wang, Tao Yu:
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. ICML 2023: 18319-18345 - [c25]Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang:
Coder Reviewer Reranking for Code Generation. ICML 2023: 41832-41846 - [c24]Jing Yu Koh, Daniel Fried, Russ Salakhutdinov:
Generating Images with Multimodal Language Models. NeurIPS 2023 - [i40]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:
SantaCoder: don't reach for the stars! CoRR abs/2301.03988 (2023) - [i39]Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried:
Grounding Language Models to Images for Multimodal Generation. CoRR abs/2301.13823 (2023) - [i38]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 Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Moustafa-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:
StarCoder: may the source be with you! CoRR abs/2305.06161 (2023) - [i37]Jing Yu Koh, Daniel Fried, Ruslan Salakhutdinov:
Generating Images with Multimodal Language Models. CoRR abs/2305.17216 (2023) - [i36]Jiefu Ou, Benno Krojer, Daniel Fried:
Pragmatic Inference with a CLIP Listener for Contrastive Captioning. CoRR abs/2306.08818 (2023) - [i35]Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig:
WebArena: A Realistic Web Environment for Building Autonomous Agents. CoRR abs/2307.13854 (2023) - [i34]Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap:
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. CoRR abs/2310.11667 (2023) - [i33]Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried:
API-Assisted Code Generation for Question Answering on Varied Table Structures. CoRR abs/2310.14687 (2023) - [i32]Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush, Daniel Fried:
Symbolic Planning and Code Generation for Grounded Dialogue. CoRR abs/2310.17140 (2023) - [i31]Yiqing Xie, Atharva Naik, Daniel Fried, Carolyn P. Rosé:
Data Augmentation for Code Translation with Comparable Corpora and Multiple References. CoRR abs/2311.00317 (2023) - [i30]Alex Wilf, Alex Tianyi Xu, Paul Pu Liang, Alexander Obolenskiy, Daniel Fried, Louis-Philippe Morency:
Comparative Knowledge Distillation. CoRR abs/2311.02253 (2023) - [i29]Saujas Vaduguru, Daniel Fried, Yewen Pu:
Generating Pragmatic Examples to Train Neural Program Synthesizers. CoRR abs/2311.05740 (2023) - [i28]Sedrick Keh, Justin T. Chiu, Daniel Fried:
Asking More Informative Questions for Grounded Retrieval. CoRR abs/2311.08584 (2023) - 2022
- [c23]Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan:
Inferring Rewards from Language in Context. ACL (1) 2022: 8546-8560 - [c22]Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang:
Natural Language to Code Translation with Execution. EMNLP 2022: 3533-3546 - [c21]Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi:
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. EMNLP 2022: 3762-3780 - [c20]Grace Luo, Giscard Biamby, Trevor Darrell, Daniel Fried, Anna Rohrbach:
G3: Geolocation via Guidebook Grounding. EMNLP (Findings) 2022: 5841-5853 - [i27]Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan:
Inferring Rewards from Language in Context. CoRR abs/2204.02515 (2022) - [i26]Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen-tau Yih, Luke Zettlemoyer, Mike Lewis:
InCoder: A Generative Model for Code Infilling and Synthesis. CoRR abs/2204.05999 (2022) - [i25]Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang:
Natural Language to Code Translation with Execution. CoRR abs/2204.11454 (2022) - [i24]Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi:
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. CoRR abs/2210.13312 (2022) - [i23]Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis:
Contrastive Decoding: Open-ended Text Generation as Optimization. CoRR abs/2210.15097 (2022) - [i22]Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh:
Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches. CoRR abs/2211.08371 (2022) - [i21]Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Scott Wen-tau Yih, Daniel Fried, Sida I. Wang, Tao Yu:
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. CoRR abs/2211.11501 (2022) - [i20]Weiyan Shi, Emily Dinan, Adi Renduchintala, Daniel Fried, Athul Paul Jacob, Zhou Yu, Mike Lewis:
AutoReply: Detecting Nonsense in Dialogue Introspectively with Discriminative Replies. CoRR abs/2211.12615 (2022) - [i19]Grace Luo, Giscard Biamby, Trevor Darrell, Daniel Fried, Anna Rohrbach:
G^3: Geolocation via Guidebook Grounding. CoRR abs/2211.15521 (2022) - [i18]Tianyi Zhang, Tao Yu, Tatsunori B. Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida I. Wang:
Coder Reviewer Reranking for Code Generation. CoRR abs/2211.16490 (2022) - [i17]Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig:
Execution-Based Evaluation for Open-Domain Code Generation. CoRR abs/2212.10481 (2022) - 2021
- [b1]Daniel Fried:
Learning Grounded Pragmatic Communication. University of California, Berkeley, USA, 2021 - [c19]Daniel Fried, Justin T. Chiu, Dan Klein:
Reference-Centric Models for Grounded Collaborative Dialogue. EMNLP (1) 2021: 2130-2147 - [c18]Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell:
Modular Networks for Compositional Instruction Following. NAACL-HLT 2021: 1033-1040 - [i16]Daniel Fried, Justin T. Chiu, Dan Klein:
Reference-Centric Models for Grounded Collaborative Dialogue. CoRR abs/2109.05042 (2021) - 2020
- [j2]Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom:
Syntactic Structure Distillation Pretraining for Bidirectional Encoders. Trans. Assoc. Comput. Linguistics 8: 776-794 (2020) - [c17]Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh:
Learning to Segment Actions from Observation and Narration. ACL 2020: 2569-2588 - [i15]Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh:
Learning to Segment Actions from Observation and Narration. CoRR abs/2005.03684 (2020) - [i14]Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom:
Syntactic Structure Distillation Pretraining For Bidirectional Encoders. CoRR abs/2005.13482 (2020) - [i13]Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell:
Modularity Improves Out-of-Domain Instruction Following. CoRR abs/2010.12764 (2020)
2010 – 2019
- 2019
- [c16]Daniel Fried, Nikita Kitaev, Dan Klein:
Cross-Domain Generalization of Neural Constituency Parsers. ACL (1) 2019: 323-330 - [c15]Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko:
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. ACL (1) 2019: 6551-6557 - [c14]Sheng Shen, Daniel Fried, Jacob Andreas, Dan Klein:
Pragmatically Informative Text Generation. NAACL-HLT (1) 2019: 4060-4067 - [i12]Sheng Shen, Daniel Fried, Jacob Andreas, Dan Klein:
Pragmatically Informative Text Generation. CoRR abs/1904.01301 (2019) - [i11]Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko:
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. CoRR abs/1906.00347 (2019) - [i10]Daniel Fried, Nikita Kitaev, Dan Klein:
Cross-Domain Generalization of Neural Constituency Parsers. CoRR abs/1907.04347 (2019) - 2018
- [c13]Daniel Fried, Dan Klein:
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing. ACL (2) 2018: 469-476 - [c12]Daniel Fried, Jacob Andreas, Dan Klein:
Unified Pragmatic Models for Generating and Following Instructions. NAACL-HLT 2018: 1951-1963 - [c11]Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. NeurIPS 2018: 3318-3329 - [i9]Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. CoRR abs/1806.02724 (2018) - [i8]Daniel Fried, Dan Klein:
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing. CoRR abs/1806.03290 (2018) - 2017
- [c10]Daniel Fried, Mitchell Stern, Dan Klein:
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. ACL (2) 2017: 161-166 - [c9]Mitchell Stern, Daniel Fried, Dan Klein:
Effective Inference for Generative Neural Parsing. EMNLP 2017: 1695-1700 - [i7]Daniel Fried, Mitchell Stern, Dan Klein:
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. CoRR abs/1707.03058 (2017) - [i6]Mitchell Stern, Daniel Fried, Dan Klein:
Effective Inference for Generative Neural Parsing. CoRR abs/1707.08976 (2017) - [i5]Daniel Fried, Jacob Andreas, Dan Klein:
Unified Pragmatic Models for Generating and Following Instructions. CoRR abs/1711.04987 (2017) - 2016
- [c8]Dane Bell, Daniel Fried, Luwen Huangfu, Mihai Surdeanu, Stephen G. Kobourov:
Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness. LREC 2016 - [i4]Dane Bell, Daniel Fried, Luwen Huangfu, Mihai Surdeanu, Stephen G. Kobourov:
Towards using social media to identify individuals at risk for preventable chronic illness. CoRR abs/1603.03784 (2016) - 2015
- [j1]Daniel Fried, Peter Jansen, Gustave Hahn-Powell, Mihai Surdeanu, Peter Clark:
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking. Trans. Assoc. Comput. Linguistics 3: 197-210 (2015) - [c7]Daniel Fried, Tamara Polajnar, Stephen Clark:
Low-Rank Tensors for Verbs in Compositional Distributional Semantics. ACL (2) 2015: 731-736 - [c6]Daniel Fried, Kevin Duh:
Incorporating Both Distributional and Relational Semantics in Word Representations. ICLR (Workshop) 2015 - 2014
- [c5]Daniel Fried, Stephen G. Kobourov:
Maps of Computer Science. PacificVis 2014: 113-120 - [c4]Daniel Fried, Mihai Surdeanu, Stephen G. Kobourov, Melanie Hingle, Dane Bell:
Analyzing the language of food on social media. IEEE BigData 2014: 778-783 - [i3]Daniel Fried, Mihai Surdeanu, Stephen G. Kobourov, Melanie Hingle, Dane Bell:
Analyzing the Language of Food on Social Media. CoRR abs/1409.2195 (2014) - [i2]Daniel Fried, Kevin Duh:
Incorporating Both Distributional and Relational Semantics in Word Representations. CoRR abs/1412.4369 (2014) - 2013
- [c3]Colin R. Dawson, Jeremy B. Wright, Antons Rebguns, Marco Antonio Valenzuela-Escárcega, Daniel Fried, Paul R. Cohen:
A generative probabilistic framework for learning spatial language. ICDL-EPIROB 2013: 1-8 - [c2]Daniel Fried, Zhen Li, Ali Jannesari, Felix Wolf:
Predicting Parallelization of Sequential Programs Using Supervised Learning. ICMLA (2) 2013: 72-77 - [i1]Daniel Fried, Stephen G. Kobourov:
Maps of Computer Science. CoRR abs/1304.2681 (2013) - 2012
- [c1]Luca Del Pero, Joshua Bowdish, Daniel Fried, Bonnie Kermgard, Emily Hartley, Kobus Barnard:
Bayesian geometric modeling of indoor scenes. CVPR 2012: 2719-2726