| Self-evaluation guided beam search for reasoning Y Xie, K Kawaguchi, Y Zhao, JX Zhao, MY Kan, J He, M Xie Advances in Neural Information Processing Systems 36, 2024 | 107* | 2024 |
| Semantic Graphs for Generating Deep Questions L Pan, Y Xie, Y Feng, TS Chua, MY Kan The 58th Annual Meeting of the Association for Computational Linguistics …, 2020 | 95 | 2020 |
| Exploring Question-Specific Rewards for Generating Deep Questions Y Xie, L Pan, D Wang, MY Kan, Y Feng The 28th International Conference on Computational Linguistics (COLING 2020), 2020 | 33 | 2020 |
| Automatic model selection with large language models for reasoning JX Zhao, Y Xie, K Kawaguchi, J He, MQ Xie arXiv preprint arXiv:2305.14333, 2023 | 28 | 2023 |
| Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning Y Xie, A Goyal, W Zheng, MY Kan, TP Lillicrap, K Kawaguchi, M Shieh arXiv preprint arXiv:2405.00451, 2024 | 24 | 2024 |
| Canvasemb: Learning layout representation with large-scale pre-training for graphic design Y Xie, D Huang, J Wang, CY Lin Proceedings of the 29th ACM international conference on multimedia, 4100-4108, 2021 | 15 | 2021 |
| InstructCoder: Empowering Language Models to Edit Code Q Hu, K Li, JX Zhao, Y Xie, T Liu, H Chen, MQ Xie, J He | 6* | |
| A sketch-based system for semantic parsing Z Li, Y Lai, Y Xie, Y Feng, D Zhao Natural Language Processing and Chinese Computing: 8th CCF International …, 2019 | 5 | 2019 |
| Instructcoder: Instruction tuning large language models for code editing K Li, Q Hu, J Zhao, H Chen, Y Xie, T Liu, M Shieh, J He Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 4 | 2024 |
| Prompt optimization via adversarial in-context learning XL Do, Y Zhao, H Brown, Y Xie, JX Zhao, NF Chen, K Kawaguchi, ... arXiv preprint arXiv:2312.02614, 2023 | 3 | 2023 |
| ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning Y Xie, G Li, MY Kan arXiv preprint arXiv:2305.14740, 2023 | 3 | 2023 |
| Prompt optimization via adversarial in-context learning D Long, Y Zhao, H Brown, Y Xie, J Zhao, N Chen, K Kawaguchi, M Shieh, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 1 | 2024 |
| V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization Y Xie, G Li, X Xu, MY Kan arXiv preprint arXiv:2411.02712, 2024 | | 2024 |
| SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement A Antoniades, A Örwall, K Zhang, Y Xie, A Goyal, W Wang arXiv preprint arXiv:2410.20285, 2024 | | 2024 |
| COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement Y Xie, A Goyal, X Wu, X Yin, X Xu, MY Kan, L Pan, WY Wang arXiv preprint arXiv:2410.09675, 2024 | | 2024 |
| MVP-Bench: Can Large Vision--Language Models Conduct Multi-level Visual Perception Like Humans? G Li, Y Xie, MY Kan arXiv preprint arXiv:2410.04345, 2024 | | 2024 |
| Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models H Liu, Y Xie, Y Wang, M Shieh arXiv preprint arXiv:2408.14866, 2024 | | 2024 |
| Prompt Optimization via Adversarial In-Context Learning Y Zhao, H Brown, Y Xie, JX Zhao, NF Chen, K Kawaguchi, MQ Xie, J He | | |
Min-Yen Kan (靳民彦)Associate Professor, National University of SingaporeVerified email at comp.nus.edu.sg