Yixia Li

According to our database, Yixia Li authored at least 24 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PatchWorld: Gradient-Free Optimization of Executable World Models.

Jiaxin Bai, Yue Guo, Yifei Dong, Jiaxuan Xiong, Tianshi Zheng, Yixia Li, Tianqing Fang, Yufei Li, Yisen Gao, Haoyu Huang, Zhongwei Xie, Hong Ting Tsang, Zihao Wang, Lihui Liu, Jeff Pan, Yangqiu Song

CoRR, May, 2026

SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks.

Tianyi Wang, Yixia Li, Long Li, Yibiao Chen, Shaohan Huang, Yun Chen, Peng Li, Yang Liu, Guanhua Chen

CoRR, April, 2026

Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems.

Wanxing Wu, He Zhu, Yixia Li, Lei Yang, Jiehui Zhao, Hongru Wang, Jian Yang, Benyou Wang, Bingyi Jing, Guanhua Chen

CoRR, February, 2026

Anchored Policy Optimization: Mitigating Exploration Collapse Via Support-Constrained Rectification.

Tianyi Wang, Long Li, Hongcan Guo, Yibiao Chen, Yixia Li, Yong Wang, Yun Chen, Guanhua Chen

CoRR, February, 2026

Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents.

Zeping Li, Hongru Wang, Yiwen Zhao, Guanhua Chen, Yixia Li, Keyang Chen, Yixin Cao, Guangnan Ye, Hongfeng Chai, Zhenfei Yin

CoRR, February, 2026

From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics.

Bowen Cao, Dongdong Zhang, Yixia Li, Junpeng Liu, Shijue Huang, Chufan Shi, Hongyuan Lu, Yaokang Wu, Guanhua Chen, Wai Lam, Furu Wei

CoRR, January, 2026

No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning.

Zhicong Li, Lingjie Jiang, Yulan Hu, Xingchen Zeng, Yixia Li, Xiangwen Zhang, Guanhua Chen, Zheng Pan, Xin Li, Yong Liu

CoRR, January, 2026

2025

From Word to World: Can Large Language Models be Implicit Text-based World Models?

Yixia Li, Hongru Wang, Jiahao Qiu, Zhenfei Yin, Dongdong Zhang, Cheng Qian, Zeping Li, Pony Ma, Guanhua Chen, Heng Ji, Mengdi Wang

CoRR, December, 2025

Enhancing Large Language Model Reasoning via Selective Critical Token Fine-Tuning.

Zhiwen Ruan, Yixia Li, He Zhu, Yun Chen, Peng Li, Yang Liu, Guanhua Chen

CoRR, October, 2025

UniPoll: A Unified Social Media Poll Generation Framework via Multiobjective Optimization.

Yixia Li, Rong Xiang, Yanlin Song, Jing Li

IEEE Trans. Neural Networks Learn. Syst., August, 2025

VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models.

Lingjie Jiang, Shaohan Huang, Xun Wu, Yixia Li, Dongdong Zhang, Furu Wei

CoRR, August, 2025

Cantonese natural language processing in the transformers era: a survey and current challenges.

Rong Xiang, Emmanuele Chersoni, Yixia Li, Jing Li, Chu-Ren Huang, Yushan Pan, Yushi Li

Lang. Resour. Evaluation, June, 2025

ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs.

Yan Yang, Yixia Li, Hongru Wang, Xuetao Wei, Jianqiao Yu, Yun Chen, Guanhua Chen

CoRR, April, 2025

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

Hanqing Wang, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy.

Zhiwen Ruan, Yixia Li, He Zhu, Longyue Wang, Weihua Luo, Kaifu Zhang, Yun Chen, Guanhua Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

G2: Guided Generation for Enhanced Output Diversity in LLMs.

Zhiwen Ruan, Yixia Li, Yefeng Liu, Yun Chen, Weihua Luo, Peng Li, Yang Liu, Guanhua Chen

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only.

He Zhu, Yifan Ding, Yicheng Tao, Zhiwen Ruan, Yixia Li, Wenjia Zhang, Yun Chen, Guanhua Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs.

Yan Yang, Yixia Li, Hongru Wang, Xuetao Wei, James Jianqiao Yu, Yun Chen, Guanhua Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

Hanqing Wang, Zeguan Xiao, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen

CoRR, 2024

SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation.

Yixia Li, Boya Xiong, Guanhua Chen, Yun Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning.

Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

TADIS: Steering Models for Deep-Thinking about Demonstration Examples.

Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen

CoRR, 2023

UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization.

Yixia Li, Rong Xiang, Yanlin Song, Jing Li

CoRR, 2023

2019

Electric Power Grid Invulnerability Under Intentional Edge-Based Attacks.

Yixia Li, Shudong Li, Yanshan Chen, Peiyan He, Xiaobo Wu, Weihong Han

Proceedings of the Dependability in Sensor, Cloud, and Big Data Systems and Applications, 2019