Publications
See also my Google Scholar Profile. * indicates equal contributions.
2024
COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement NeurIPS AFM Workshop 2024
Yuxi Xie, Anirudh Goyal, Xiaobao Wu, Xunjian Yin, Xiao Xu, Min-Yen Kan, Liangming Pan, William Yang Wang
[paper] [code]
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement preprint
Antonis Antoniades, Albert Örwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Yang Wang
[paper] [code]
V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization EMNLP Findings 2024
Yuxi Xie, Guanzhen Li, Xiao Xu, Min-Yen Kan
[paper] [code]
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models EMNLP 2024
Hongfu Liu*, Yuxi Xie*, Ye Wang, Michael Shieh
[paper] [code]
MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? EMNLP Findings 2024
Guanzhen Li, Yuxi Xie*, Min-Yen Kan
[paper] [code]
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning NeurIPS Workshop of System 2 Reasoning at Scale 2024
Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P Lillicrap, Kenji Kawaguchi, Michael Shieh
[paper] [code]
Prompt Optimization via Adversarial In-Context Learning ACL 2024
Do Xuan Long*, Yiran Zhao*, Hannah Brown*, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He
[paper]
InstructCoder: Instruction Tuning Large Language Models for Code Editing ACL SRM Workshop 2024
Kaixin Li, Qisheng Hu, James Xu Zhao, Hui Chen, Yuxi Xie, Tiedong Liu, Michael Shieh, Junxian He
[paper]
2023
Self-Evaluation Guided Beam Search for Reasoning NeurIPS 2023
Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan*, Junxian He*, Qizhe Xie*
[paper] [code] [website]
ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning EMNLP Findings 2023
Yuxi Xie, Guanzhen Li, Min-Yen Kan
[paper] [website]
Automatic Model Selection with Large Language Models for Reasoning EMNLP Findings 2023
Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Qizhe Xie
[paper] [code]
2021
CANVASEMB: Learning Layout Representation with Large-scale Pre-training for Graphic Design ACM MM 2021
Yuxi Xie, Danqing Huang, Jinpeng Wang, Chin-Yew Lin
[paper] [slides]
2020
Exploring Question-Specific Rewards for Generating Deep Questions COLING 2020 (Oral)
Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng
[paper] [codes] [slides]
Semantic Graphs for Generating Deep Questions ACL 2020
Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan
[paper] [codes] [video]
2019
A Sketch-Based System for Semantic Parsing NLPCC 2019
Zechang Li, Yuxuan Lai, Yuxi Xie, Yansong Feng, Dongyan Zhao
[paper] [codes]