Yuxuan Gu

31 papers A* 4Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning.
CoRR
Lei Huang, Xiang Cheng, Chenxiao Zhao, Guobin Shen, Junjie Yang, Xiaocheng Feng, Yuxuan Gu, Xing Yu, Bing Qin
2026 J jnl
Can Large Language Models Simulate Human Cognition Beyond Behavioral Imitation?
CoRR
Yuxuan Gu, Lunjun Liu, Xiaocheng Feng, Kun Zhu, Weihong Zhong, Lei Huang, Bing Qin
2026 J jnl
DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs.
CoRR
Shidong Cao, Hongzhan Lin, Yuxuan Gu, Ziyang Luo, Jing Ma
2026 J jnl
PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra.
CoRR
Xiachong Feng, Liang Zhao, Weihong Zhong, Yichong Huang, Yuxuan Gu, Lingpeng Kong, Xiaocheng Feng, Bing Qin
2025 — conf
Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning.
ACL (1)
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
2025 A* conf
Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering.
EMNLP
Kun Zhu, Lizi Liao, Yuxuan Gu, Lei Huang, Xiaocheng Feng, Bing Qin
2025 J jnl
Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering.
CoRR
Kun Zhu, Lizi Liao, Yuxuan Gu, Lei Huang, Xiaocheng Feng, Bing Qin
2025 — conf
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models.
ACL (1)
Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua
2025 J jnl
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models.
CoRR
Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua
2025 — conf
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems.
EMNLP (Findings)
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
2025 J jnl
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems.
CoRR
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
2025 — conf
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization.
ACL (1)
Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yangfan Ye, Weihong Zhong, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Bing Qin
2025 J jnl
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization.
CoRR
Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yangfan Ye, Weihong Zhong, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Bing Qin
2025 — conf
Length Controlled Generation for Black-box LLMs.
ACL (1)
Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Ting Liu, Bing Qin, Tat-Seng Chua
2025 J jnl
MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents.
CoRR
Ruihan Chen, Qiming Li, Xiaocheng Feng, Xiaoliang Yang, Weihong Zhong, Yuxuan Gu, Zekun Zhou, Bing Qin
2024 — conf
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation.
ACL (1)
Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin
2024 J jnl
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation.
CoRR
Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin
2024 A* conf
Discrete Modeling via Boundary Conditional Diffusion Processes.
NeurIPS
Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin
2024 J jnl
Discrete Modeling via Boundary Conditional Diffusion Processes.
CoRR
Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin
2024 A* conf
Extending Context Window of Large Language Models from a Distributional Perspective.
EMNLP
Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024 J jnl
Extending Context Window of Large Language Models from a Distributional Perspective.
CoRR
Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024 — conf
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models.
ACL (1)
Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin
2024 J jnl
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models.
CoRR
Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin
2024 — conf
Learning Fine-Grained Grounded Citations for Attributed Large Language Models.
ACL (Findings)
Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin
2024 J jnl
Learning Fine-Grained Grounded Citations for Attributed Large Language Models.
CoRR
Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin
2024 J jnl
Length Controlled Generation for Black-box LLMs.
CoRR
Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Tat-Seng Chua, Bing Qin
2023 — conf
Controllable Text Generation via Probability Density Estimation in the Latent Space.
ACL (1)
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Weihong Zhong, Bing Qin
2022 A* conf
A Distributional Lens for Multi-Aspect Controllable Text Generation.
EMNLP
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin
2022 J jnl
A Distributional Lens for Multi-Aspect Controllable Text Generation.
CoRR
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin
2022 J jnl
Controllable Text Generation via Probability Density Estimation in the Latent Space.
CoRR
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin
2022 — conf
Improving Controllable Text Generation with Position-Aware Weighted Decoding.
ACL (Findings)
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Jiaming Wu, Heng Gong, Bing Qin