Yuxuan Gu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
5
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs. | Shidong Cao, Hongzhan Lin, Yuxuan Gu, Ziyang Luo, Jing Ma |
| 2026 | ACL | 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 |
| 2026 | ACL | 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 |
| 2026 | ACL | 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 |
| 2026 | ACL | TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models. | Yuxuan Gu, Wuyang Zhou, Giorgos Iacovides, Danilo P. Mandic |
| 2026 | ACL | Adaptive Backtracking for Privacy Protection in Large Language Models. | Zhihao Yao, Yuxuan Gu, Xiachong Feng, Weitao Ma, Bo Li, Xiaocheng Feng, Bing Qin |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | CVPR | Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration. | Yuxuan Gu, Haoxuan Wang, Pengyang Ling, Zhixiang Wei, Huaian Chen, Yi Jin, Enhong Chen |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | 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 |
| 2025 | IJCNN | TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs. | Yuxuan Gu, Wuyang Zhou, Giorgos Iacovides, Danilo P. Mandic |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | EMNLP | 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 |
| 2023 | ACL | 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 |
| 2023 | HCI | Beyond Car Human-Machine Interface (HMI): Mapping Six Intelligent Modes into Future Cockpit Scenarios. | Shu-Yu Cui, Donghan Hou, Jiayue Li, Yuwei Liu, Zi Wang, Jiayu Zheng, Xueshi Dou, Zhanyao Feng, Yuxuan Gu, Minglan Li, Songbo Ni, Ziwei Ran, Bojuan Ren, Jingyi Sun, Shenmin Wang, Xinyan Xiong, Guanzhuo Zhang, Wangjun Li, Jingpeng Jia, Xin Xin |
| 2022 | ACL | Improving Controllable Text Generation with Position-Aware Weighted Decoding. | Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Jiaming Wu, Heng Gong, Bing Qin |
| 2022 | EMNLP | A Distributional Lens for Multi-Aspect Controllable Text Generation. | Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin |