| Starcoder: may the source be with you! R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... arXiv preprint arXiv:2305.06161, 2023 | 1435 | 2023 |
| Incoder: A generative model for code infilling and synthesis D Fried, A Aghajanyan, J Lin, S Wang, E Wallace, F Shi, R Zhong, W Yih, ... arXiv preprint arXiv:2204.05999, 2022 | 913 | 2022 |
| Webarena: A realistic web environment for building autonomous agents S Zhou, FF Xu, H Zhu, X Zhou, R Lo, A Sridhar, X Cheng, T Ou, Y Bisk, ... arXiv preprint arXiv:2307.13854, 2023 | 725 | 2023 |
| Speaker-follower models for vision-and-language navigation D Fried, R Hu, V Cirik, A Rohrbach, J Andreas, LP Morency, ... Advances in neural information processing systems 31, 2018 | 660 | 2018 |
| Contrastive decoding: Open-ended text generation as optimization XL Li, A Holtzman, D Fried, P Liang, J Eisner, TB Hashimoto, ... Proceedings of the 61st annual meeting of the association for computational …, 2023 | 543 | 2023 |
| Human-level play in the game of Diplomacy by combining language models with strategic reasoning Meta Fundamental AI Research Diplomacy Team (FAIR)†, A Bakhtin, ... Science 378 (6624), 1067-1074, 2022 | 422 | 2022 |
| DS-1000: A natural and reliable benchmark for data science code generation Y Lai, C Li, Y Wang, T Zhang, R Zhong, L Zettlemoyer, W Yih, D Fried, ... International Conference on Machine Learning, 18319-18345, 2023 | 411 | 2023 |
| Visualwebarena: Evaluating multimodal agents on realistic visual web tasks JY Koh, R Lo, L Jang, V Duvvur, M Lim, PY Huang, G Neubig, S Zhou, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 401 | 2024 |
| Generating images with multimodal language models JY Koh, D Fried, RR Salakhutdinov Advances in Neural Information Processing Systems 36, 21487-21506, 2023 | 382 | 2023 |
| Bigcodebench: Benchmarking code generation with diverse function calls and complex instructions TY Zhuo, MC Vu, J Chim, H Hu, W Yu, R Widyasari, INB Yusuf, H Zhan, ... arXiv preprint arXiv:2406.15877, 2024 | 376 | 2024 |
| Neural theory-of-mind? on the limits of social intelligence in large lms M Sap, R Le Bras, D Fried, Y Choi Proceedings of the 2022 conference on empirical methods in natural language …, 2022 | 309 | 2022 |
| Santacoder: don't reach for the stars! LB Allal, R Li, D Kocetkov, C Mou, C Akiki, CM Ferrandis, N Muennighoff, ... arXiv preprint arXiv:2301.03988, 2023 | 283 | 2023 |
| Sotopia: Interactive evaluation for social intelligence in language agents X Zhou, H Zhu, L Mathur, R Zhang, H Yu, Z Qi, LP Morency, Y Bisk, ... arXiv preprint arXiv:2310.11667, 2023 | 277 | 2023 |
| Grounding language models to images for multimodal inputs and outputs JY Koh, R Salakhutdinov, D Fried International Conference on Machine Learning, 17283-17300, 2023 | 184 | 2023 |
| Bayesian geometric modeling of indoor scenes L Del Pero, J Bowdish, D Fried, B Kermgard, E Hartley, K Barnard Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012 | 175 | 2012 |
| Agent workflow memory ZZ Wang, J Mao, D Fried, G Neubig arXiv preprint arXiv:2409.07429, 2024 | 151 | 2024 |
| Natural language to code translation with execution F Shi, D Fried, M Ghazvininejad, L Zettlemoyer, SI Wang arXiv preprint arXiv:2204.11454, 2022 | 146 | 2022 |
| Swe-rl: Advancing llm reasoning via reinforcement learning on open software evolution Y Wei, O Duchenne, J Copet, Q Carbonneaux, L Zhang, D Fried, ... arXiv preprint arXiv:2502.18449, 2025 | 136 | 2025 |
| Unified pragmatic models for generating and following instructions D Fried, J Andreas, D Klein Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 129 | 2018 |
| Analyzing the language of food on social media D Fried, M Surdeanu, S Kobourov, M Hingle, D Bell 2014 IEEE International Conference on Big Data (Big Data), 778-783, 2014 | 129 | 2014 |
Graham NeubigCarnegie Mellon UniversityVerified email at cs.cmu.edu
