Yuxuan Gu

According to our database, Yuxuan Gu authored at least 24 papers between 2022 and 2026.

Collaborative distances:

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

2026

SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution.

Xiachong Feng, Yi Jiang, Xiaocheng Feng, Deyi Yin, Libo Qin, Yangfan Ye, Lei Huang, Weitao Ma, Yuxuan Gu, Chonghan Qin, Bing Qin, Lingpeng Kong

CoRR, April, 2026

Can Large Language Models Simulate Human Cognition Beyond Behavioral Imitation?

Yuxuan Gu, Lunjun Liu, Xiaocheng Feng, Kun Zhu, Weihong Zhong, Lei Huang, Bing Qin

CoRR, March, 2026

Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning.

Lei Huang, Xiang Cheng, Chenxiao Zhao, Guobin Shen, Junjie Yang, Xiaocheng Feng, Yuxuan Gu, Xing Yu, Bing Qin

CoRR, March, 2026

PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra.

Xiachong Feng, Liang Zhao, Weihong Zhong, Yichong Huang, Yuxuan Gu, Lingpeng Kong, Xiaocheng Feng, Bing Qin

CoRR, February, 2026

DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs.

Shidong Cao, Hongzhan Lin, Yuxuan Gu, Ziyang Luo, Jing Ma

CoRR, January, 2026

Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play.

Xiachong Feng, Deyi Yin, Xiaocheng Feng, Yi Jiang, Libo Qin, Yangfan Ye, Lei Huang, Weitao Ma, Qiming Li, Yuxuan Gu, Bing Qin, Lingpeng Kong

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents.

Ruihan Chen, Qiming Li, Xiaocheng Feng, Weihong Zhong, Xiaoliang Yang, Yuxuan Gu, Zekun Zhou, Yunfei Lu, Haoyu Ren, Kun Chen, Dandan Tu, Bing Qin

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents.

Ruihan Chen, Qiming Li, Xiaocheng Feng, Xiaoliang Yang, Weihong Zhong, Yuxuan Gu, Zekun Zhou, Bing Qin

CoRR, December, 2025

Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering.

Kun Zhu, Lizi Liao, Yuxuan Gu, Lei Huang, Xiaocheng Feng, Bing Qin

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

From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems.

Zekun Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng, Ziyun Song, Ruihan Chen, Liang Zhao, Weitao Ma, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin

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

Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization.

Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yangfan Ye, Weihong Zhong, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Bing Qin

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

Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning.

Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yuxuan Gu, Yangfan Ye, Liang Zhao, Weihong Zhong, Baoxin Wang, Dayong Wu, Guoping Hu, Lingpeng Kong, Tong Xiao, Ting Liu, Bing Qin

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

Length Controlled Generation for Black-box LLMs.

Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Ting Liu, Bing Qin, Tat-Seng Chua

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

FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models.

Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua

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

2024

Length Controlled Generation for Black-box LLMs.

Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Tat-Seng Chua, Bing Qin

CoRR, 2024

Discrete Modeling via Boundary Conditional Diffusion Processes.

Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin

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

Extending Context Window of Large Language Models from a Distributional Perspective.

Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models.

Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation.

Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Learning Fine-Grained Grounded Citations for Attributed Large Language Models.

Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin

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

2023

Controllable Text Generation via Probability Density Estimation in the Latent Space.

Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Weihong Zhong, Bing Qin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Controllable Text Generation via Probability Density Estimation in the Latent Space.

Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin

CoRR, 2022

A Distributional Lens for Multi-Aspect Controllable Text Generation.

Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Controllable Text Generation with Position-Aware Weighted Decoding.

Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Jiaming Wu, Heng Gong, Bing Qin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022