Publications

A collection of my research work in NLP, LLMs, and related areas.

arXiv preprintForgeWM: Progressive Causal Training for Few-Step Action-Conditioned Video World Models

ForgeWM: Progressive Causal Training for Few-Step Action-Conditioned Video World Models

Xinye Li*, Lingshuai Lin*, Lei Wang, Liuzhou Zhang, Jialin Cui, Qingshan Li, Guanchu Wang, Qingbin Liu, Xi Chen, Jiang Bian, Wai Lam†

2026

Progressive causal training for few-step action-conditioned video world models, with gamepad adaptation to FPS gameplay.

Code
Findings of ACL 2025ScEdit: Script-based Assessment of Knowledge Editing

ScEdit: Script-based Assessment of Knowledge Editing

Xinye Li, Zunwen Zheng, Qian Zhang, Dekai Zhuang, Jiabao Kang, Liyan Xu, Qingbin Liu, Xi Chen, Zhiying Tu, Dianhui Chu, Dianbo Sui

Findings of the Association for Computational Linguistics: ACL 2025, 2025

Script-based assessment for knowledge editing in LLMs.

Code
ACL 2025 WorkshopLLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning

Xinye Li*, Mingqi Wan*, Dianbo Sui

Proceedings of the 1st Joint Workshop on Large Language Models and Structure Modeling (XLLM 2025), 2025

An empirical study of LLM capabilities for structural reasoning tasks.

ACL 2026 MainEditing the Moving World: Model Editing for Video LLMs

Editing the Moving World: Model Editing for Video LLMs

Qian Zhang*, Xinye Li*, Xiaokai Wu, Junhao Xu, Zhanyue Qin, Qingbin Liu, Junxian Cai, Xi Chen, Bolin Zhang, Zhiying Tu, Dianhui Chu, Xiaoyan Yu, Dianbo Sui

The 64th Annual Meeting of the Association for Computational Linguistics, 2026

Code
ACL 2026 MainCognitive Alpha Mining via LLM-Driven Code-Based Evolution

Cognitive Alpha Mining via LLM-Driven Code-Based Evolution

Fengyuan Liu, Huang Yi, Sichun Luo, Yuqi Wang, Yazheng Yang, Xinye Li, Zefa Hu, Junlan Feng, Qi Liu

The 64th Annual Meeting of the Association for Computational Linguistics, 2026

Cognitive Alpha Mining via LLM-Driven Code-Based Evolution. Work done during the internship at GIM AI.

Findings of EMNLP 2025Exploring Deductive and Inductive Reasoning Capabilities of Large Language Models in Procedural Planning

Exploring Deductive and Inductive Reasoning Capabilities of Large Language Models in Procedural Planning

Jiabao Kang, Xinye Li, Liyan Xu, Qingbin Liu, Xi Chen, Zhiying Tu, Dianhui Chu, Dianbo Sui

Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Exploring deductive and inductive reasoning capabilities of LLMs in procedural planning tasks.

ACM MM 2024Can We Debias Multimodal Large Language Models via Model Editing?

Can We Debias Multimodal Large Language Models via Model Editing?

Zecheng Wang, Xinye Li, Zhanyue Qin, Chunshan Li, Zhiying Tu, Dianhui Chu, Dianbo Sui

Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM), 2024

Investigating debiasing multimodal LLMs through model editing techniques.