| Look before you leap: Problem elaboration prompting improves mathematical reasoning in large language models H Liao, J Tian, S Hu, Z Zhu, H He, Y Jin ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025 | 3 | 2025 |
| Task-level thinking steps help large language models for challenging classification task C Du, J Tian, H Liao, J Chen, H He, Y Jin Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 2 | 2023 |
| Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent H Liao, Q Du, S Hu, HE Hao, Y Xu, J Tian, Y Jin | 1 | 2023 |
| TopoRefine: Iterative Refinement with Reasoning Topology as High-Level Feedback H Liao, S Hu, Z Zhu, H He, Y Jin ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025 | | 2025 |
| Faithful Self-Refinement in Mathematical Reasoning via Progressive Back-Translation H Liao, Z Zhu, S Hu, H He, Y Jin ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025 | | 2025 |
| A Progressive Local Variance-guided Strategy for Improving Data Augmentation Reliability Z Wang, Z Meng, D Wu, H Liao, T Wang, H Shen, J Li, H Song ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025 | | 2025 |
| Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task J Tian, H Liao, J Chen, HE Hao, Y Jin The 2023 Conference on Empirical Methods in Natural Language Processing, 0 | | |