Tap4llm: Table provider on sampling, augmenting, and packing semi-structured data for large language model reasoning Y Sui*, J Zou*, M Zhou, X He, L Du, S Han, D Zhang The 2024 Conference on Empirical Methods in Natural Language Processing, 2023 | 17 | 2023 |
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing X He, J Zou, Y Lin, M Zhou, S Han, Z Yuan, D Zhang Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 5 | 2024 |
Promptintern: Saving inference costs by internalizing recurrent prompt during large language model fine-tuning J Zou, M Zhou, T Li, S Han, D Zhang The 2024 Conference on Empirical Methods in Natural Language Processing, 2024 | 4 | 2024 |
Meta-learning with neural bandit scheduler Y Qi, Y Ban, T Wei, J Zou, H Yao, J He Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
PageRank Bandits for Link Prediction Y Ban*, J Zou*, Z Li, Y Qi, D Fu, J Kang, H Tong, J He Advances in Neural Information Processing Systems 38, 2024 | 2 | 2024 |
LLM-Forest for Health Tabular Data Imputation X He, Y Ban, J Zou, T Wei, CB Cook, J He arXiv preprint arXiv:2410.21520, 2024 | | 2024 |
STEM-PoM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing J Zou, Q Wang, P Thakur, N Kani The 4th Workshop on Mathematical Reasoning and AI at NeurIPS'24, 2024 | | 2024 |