| Adversarial deep averaging networks for cross-lingual sentiment classification X Chen, Y Sun, B Athiwaratkun, C Cardie, K Weinberger Transactions of the Association for Computational Linguistics 6, 557-570, 2018 | 375 | 2018 |
| Structured prediction as translation between augmented natural languages G Paolini, B Athiwaratkun, J Krone, J Ma, A Achille, R Anubhai, ... arXiv preprint arXiv:2101.05779, 2021 | 336 | 2021 |
| There are many consistent explanations of unlabeled data: Why you should average B Athiwaratkun, M Finzi, P Izmailov, AG Wilson arXiv preprint arXiv:1806.05594, 2018 | 313 | 2018 |
| Malware classification with LSTM and GRU language models and a character-level CNN B Athiwaratkun, JW Stokes 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 304 | 2017 |
| Probabilistic fasttext for multi-sense word embeddings B Athiwaratkun, AG Wilson, A Anandkumar arXiv preprint arXiv:1806.02901, 2018 | 210 | 2018 |
| Multi-lingual evaluation of code generation models B Athiwaratkun, SK Gouda, Z Wang, X Li, Y Tian, M Tan, WU Ahmad, ... arXiv preprint arXiv:2210.14868, 2022 | 156* | 2022 |
| Multimodal word distributions B Athiwaratkun, AG Wilson arXiv preprint arXiv:1704.08424, 2017 | 132 | 2017 |
| Mixture-of-agents enhances large language model capabilities J Wang, J Wang, B Athiwaratkun, C Zhang, J Zou arXiv preprint arXiv:2406.04692, 2024 | 69 | 2024 |
| Hierarchical density order embeddings B Athiwaratkun, AG Wilson arXiv preprint arXiv:1804.09843, 2018 | 69 | 2018 |
| Augmented natural language for generative sequence labeling B Athiwaratkun, CN Santos, J Krone, B Xiang arXiv preprint arXiv:2009.13272, 2020 | 67 | 2020 |
| Improving stability in deep reinforcement learning with weight averaging E Nikishin, P Izmailov, B Athiwaratkun, D Podoprikhin, T Garipov, ... Uncertainty in artificial intelligence workshop on uncertainty in Deep learning, 2018 | 57 | 2018 |
| Redpajama: an open dataset for training large language models M Weber, D Fu, Q Anthony, Y Oren, S Adams, A Alexandrov, X Lyu, ... Advances in neural information processing systems 37, 116462-116492, 2024 | 34 | 2024 |
| Towards greener yet powerful code generation via quantization: An empirical study X Wei, SK Gonugondla, S Wang, W Ahmad, B Ray, H Qian, X Li, V Kumar, ... Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 14* | 2023 |
| Reasoning in token economies: Budget-aware evaluation of llm reasoning strategies J Wang, S Jain, D Zhang, B Ray, V Kumar, B Athiwaratkun arXiv preprint arXiv:2406.06461, 2024 | 11 | 2024 |
| Dragonfly: Multi-resolution zoom supercharges large visual-language model K Chen, R Thapa, R Chalamala, B Athiwaratkun, SL Song, J Zou arXiv e-prints, arXiv: 2406.00977, 2024 | 9 | 2024 |
| Training-free activation sparsity in large language models J Liu, P Ponnusamy, T Cai, H Guo, Y Kim, B Athiwaratkun arXiv preprint arXiv:2408.14690, 2024 | 7 | 2024 |
| Generative context pair selection for multi-hop question answering D Dua, CN Santos, P Ng, B Athiwaratkun, B Xiang, M Gardner, S Singh arXiv preprint arXiv:2104.08744, 2021 | 4 | 2021 |
| Infinite symmetric ergodic index and related examples in infinite measure I Loh, C Silva, B Athiwaratkun arXiv preprint arXiv:1702.01455, 2017 | 3 | 2017 |
| Programmatically generating evaluation data sets for code generation models P Athiwaratkun, Z Lin, R Keerthi, Z Wang, T Yuchen, H Ding, SRA Bontala, ... US Patent 12,141,553, 2024 | 2 | 2024 |
| Bifurcated attention: Accelerating massively parallel decoding with shared prefixes in llms B Athiwaratkun, SK Gonugondla, SK Gouda, H Qian, H Ding, Q Sun, ... arXiv preprint arXiv:2403.08845, 2024 | 2 | 2024 |
Bing XiangHead of AI Research, Goldman SachsVerified email at gs.com
