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Charlie Snell
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The false promise of imitating proprietary llms
A Gudibande, E Wallace, C Snell, X Geng, H Liu, P Abbeel, S Levine, ...
arXiv preprint arXiv:2305.15717, 2023
1342023
Offline rl for natural language generation with implicit language q learning
C Snell, I Kostrikov, Y Su, M Yang, S Levine
arXiv preprint arXiv:2206.11871, 2022
672022
Approximating how single head attention learns
C Snell, R Zhong, D Klein, J Steinhardt
arXiv preprint arXiv:2103.07601, 2021
322021
Learning by distilling context
C Snell, D Klein, R Zhong
arXiv preprint arXiv:2209.15189, 2022
302022
Describing differences between text distributions with natural language
R Zhong, C Snell, D Klein, J Steinhardt
International Conference on Machine Learning, 27099-27116, 2022
272022
Context-aware language modeling for goal-oriented dialogue systems
C Snell, M Yang, J Fu, Y Su, S Levine
arXiv preprint arXiv:2204.10198, 2022
202022
Lmrl gym: Benchmarks for multi-turn reinforcement learning with language models
M Abdulhai, I White, C Snell, C Sun, J Hong, Y Zhai, K Xu, S Levine
arXiv preprint arXiv:2311.18232, 2023
152023
The false promise of imitating proprietary llms (2023)
A Gudibande, E Wallace, C Snell, X Geng, H Liu, P Abbeel, S Levine, ...
arXiv preprint arXiv:2305.15717, 2023
62023
The false promise of imitating proprietary language models
A Gudibande, E Wallace, CV Snell, X Geng, H Liu, P Abbeel, S Levine, ...
The Twelfth International Conference on Learning Representations, 2024
32024
Non-programmers can label programs indirectly via active examples: A case study with text-to-SQL
R Zhong, C Snell, D Klein, J Eisner
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
32023
Active programming by example with a natural language prior
R Zhong, C Snell, D Klein, J Eisner
arXiv preprint arXiv:2205.12422, 2022
32022
The Omniglot Jr. challenge; Can a model achieve child-level character generation and classification?
E Kosoy, M Belyi, CV Snell, B Lake, J Tenenbaum, A Gopnik
Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021
12021
Crop Stage Estimation: A Multi-Satellite Historical Model and a Scalable Neural Network Forecaster
N Padmanabhan, A Mahesh, A Sripathy, A Sujithkumar, A Sun, C Snell, ...
AGU Fall Meeting Abstracts 2020, IN011-08, 2020
2020
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Articles 1–13