Gui, Lin

19 publications

ICLR 2025 Centrality-Guided Pre-Training for Graph Bin Liang, Shiwei Chen, Lin Gui, Hui Wang, Yue Yu, Ruifeng Xu, Kam-Fai Wong

AAAI 2025 Correcting Large Language Model Behavior via Influence Function Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao Zhai, Hanyang Peng, Yu Lei, Yue Yu, Hui Wang, Bin Liang, Lin Gui, Ruifeng Xu

ICLRW 2025 Navigating Solution Spaces in Large Language Models Through Controlled Embedding Exploration Qinglin Zhu, Runcong Zhao, Hanqi Yan, Yulan He, Yudong Chen, Lin Gui

ICML 2025 Soft Reasoning: Navigating Solution Spaces in Large Language Models Through Controlled Embedding Exploration Qinglin Zhu, Runcong Zhao, Hanqi Yan, Yulan He, Yudong Chen, Lin Gui

NeurIPS 2024 BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-N Sampling Lin Gui, Cristina Gârbacea, Victor Veitch

ICML 2024 Bounded and Uniform Energy-Based Out-of-Distribution Detection for Graphs Shenzhi Yang, Bin Liang, An Liu, Lin Gui, Xingkai Yao, Xiaofang Zhang

ICLR 2024 CPPO: Continual Learning for Reinforcement Learning with Human Feedback Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, Hui Wang, Ruifeng Xu

AAAI 2024 NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui

UAI 2023 CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models Jiazheng Li, Zhaoyue Sun, Bin Liang, Lin Gui, Yulan He

ICLR 2023 Causal Estimation for Text Data with (Apparent) Overlap Violations Lin Gui, Victor Veitch

NeurIPS 2023 Concept Algebra for (Score-Based) Text-Controlled Generative Models Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch

ICMLW 2023 Concept Algebra for Score-Based Conditional Model Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch

NeurIPS 2023 Counterfactual Generation with Identifiability Guarantees Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang

NeurIPSW 2023 OverPrompt: Enhancing ChatGPT Through Efficient In-Context Learning Jiazheng Li, Runcong Zhao, Yongxin Yang, Yulan He, Lin Gui

UAI 2022 Addressing Token Uniformity in Transformers via Singular Value Transformation Hanqi Yan, Lin Gui, Wenjie Li, Yulan He

NeurIPSW 2022 Causal Estimation for Text Data with (Apparent) Overlap Violations Lin Gui, Victor Veitch

IJCAI 2017 Stance Classification with Target-Specific Neural Attention Jiachen Du, Ruifeng Xu, Yulan He, Lin Gui

IJCAI 2016 Intersubjectivity and Sentiment: From Language to Knowledge Lin Gui, Ruifeng Xu, Yulan He, Qin Lu, Zhongyu Wei

ICCV 2015 Panoptic Studio: A Massively Multiview System for Social Motion Capture Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, Yaser Sheikh