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, 41618-41650, 2023 | 152* | 2023 |
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 | 104 | 2020 |
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning Y Xie, A Goyal, W Zheng, MY Kan, TP Lillicrap, K Kawaguchi, M Shieh NeurIPS 2024 Workshop Sys2-Reasoning homepage, 2024 | 68 | 2024 |
Automatic model selection with large language models for reasoning JX Zhao, Y Xie, K Kawaguchi, J He, MQ Xie Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 37 | 2023 |
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 | 35 | 2020 |
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 | 16 | 2021 |
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 | 13* | 2024 |
Prompt optimization via adversarial in-context learning D Long*, Y Zhao*, H Brown*, Y Xie, J Zhao, N Chen, K Kawaguchi, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 9 | 2024 |
Antileak-bench: Preventing data contamination by automatically constructing benchmarks with updated real-world knowledge X Wu, L Pan, Y Xie, R Zhou, S Zhao, Y Ma, M Du, R Mao, AT Luu, ... arXiv preprint arXiv:2412.13670, 2024 | 7 | 2024 |
V-dpo: Mitigating hallucination in large vision language models via vision-guided direct preference optimization Y Xie, G Li, X Xu, MY Kan Findings of the Association for Computational Linguistics: EMNLP 2024, 2024 | 6 | 2024 |
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 | 4 | 2019 |
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 The Thirteenth International Conference on Learning Representations, 2024 | 3 | 2024 |
ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning Y Xie, G Li, MY Kan Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 3* | 2023 |
Advancing adversarial suffix transfer learning on aligned large language models H Liu*, Y Xie*, Y Wang, M Shieh Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 2 | 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 NeurIPS 2024 Workshop on Adaptive Foundation Models, 2024 | 1 | 2024 |
Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models X Xu, T Niu, Y Xie, L Qin, W Che, MY Kan arXiv preprint arXiv:2412.05939, 2024 | | 2024 |
MVP-Bench: Can Large Vision--Language Models Conduct Multi-level Visual Perception Like Humans? G Li, Y Xie*, MY Kan Findings of the Association for Computational Linguistics: EMNLP 2024, 2024 | | 2024 |
Identifying and Tuning Safety Neurons in Large Language Models Y Zhao, W Zhang, Y Xie, A Goyal, K Kawaguchi, M Shieh The Thirteenth International Conference on Learning Representations, 0 | | |