Recranker: Instruction tuning large language model as ranker for top-k recommendation S Luo, B He, H Zhao, W Shao, Y Qi, Y Huang, A Zhou, Y Yao, Z Li, Y Xiao, ... ACM Transactions on Information Systems, 2023 | 20 | 2023 |
Integrating large language models into recommendation via mutual augmentation and adaptive aggregation S Luo, Y Yao, B He, Y Huang, A Zhou, X Zhang, Y Xiao, M Zhan, L Song arXiv preprint arXiv:2401.13870, 2024 | 15 | 2024 |
Learning from correctness without prompting makes llm efficient reasoner Y Yao, H Wu, Z Guo, B Zhou, J Gao, S Luo, H Hou, X Fu, L Song COLM 2024, 2024 | 6 | 2024 |
MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models Z Zeng, Y Liu, Y Wan, J Li, P Chen, J Dai, Y Yao, R Xu, Z Qi, W Zhao, ... Neurips 2024, 2024 | 5 | 2024 |
Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery Y Yao, S Luo, H Zhao, G Deng, L Song Resource at The ACM Web Conference 2024, 2024 | 4 | 2024 |
A Language Model-based Fine-Grained Address Resolution Framework in UAV Delivery System S Luo, Y Yao, H Zhao, L Song IEEE Journal of Selected Topics in Signal Processing (Co-first author), 2024 | 2 | 2024 |
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling Y Yao, H Wu, M Liu, S Luo, X Han, J Liu, Z Guo, L Song arXiv preprint arXiv:2410.03777, 2024 | | 2024 |
Fine-grained Conversational Decoding via Isotropic and Proximal Search Y Yao, H Wu, Q Xu, L Song 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP …, 2023 | | 2023 |