Takip et
Ben Athiwaratkun
Ben Athiwaratkun
Senior AI Scientist
amazon.com üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
3692018
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
3282021
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
3132017
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
3122018
Probabilistic fasttext for multi-sense word embeddings
B Athiwaratkun, AG Wilson, A Anandkumar
arXiv preprint arXiv:1806.02901, 2018
2092018
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
148*2022
Multimodal word distributions
B Athiwaratkun, AG Wilson
arXiv preprint arXiv:1704.08424, 2017
1302017
Hierarchical density order embeddings
B Athiwaratkun, AG Wilson
arXiv preprint arXiv:1804.09843, 2018
702018
Augmented natural language for generative sequence labeling
B Athiwaratkun, CN Santos, J Krone, B Xiang
arXiv preprint arXiv:2009.13272, 2020
672020
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
562018
Mixture-of-Agents Enhances Large Language Model Capabilities
J Wang, J Wang, B Athiwaratkun, C Zhang, J Zou
arXiv preprint arXiv:2406.04692, 2024
512024
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, 2025
142025
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
12*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
92024
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
92024
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
52021
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
42024
Infinite symmetric ergodic index and related examples in infinite measure
I Loh, C Silva, B Athiwaratkun
arXiv preprint arXiv:1702.01455, 2017
32017
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
22024
Bifurcated attention for single-context large-batch sampling
B Athiwaratkun, SK Gonugondla, SK Gouda, H Qian, H Ding, Q Sun, ...
arXiv preprint arXiv:2403.08845, 2024
12024
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