Pang, Liang

22 publications

ICLR 2025 A Theory for Token-Level Harmonization in Retrieval-Augmented Generation Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng

ICLR 2025 Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

ICLR 2025 Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng

ICLR 2025 Everything Is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng

AAAI 2025 LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai

AAAI 2025 MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models Yujing Wang, Hainan Zhang, Liang Pang, Binghui Guo, Hongwei Zheng, Zhiming Zheng

ICLR 2025 Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen

ICLRW 2024 AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng

CVPR 2024 HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data Qifan Yu, Juncheng Li, Longhui Wei, Liang Pang, Wentao Ye, Bosheng Qin, Siliang Tang, Qi Tian, Yueting Zhuang

ICLRW 2024 Neural Retrievers Are Biased Towards LLM-Generated Content Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu

AAAI 2023 A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He

AAAI 2021 Sketch and Customize: A Counterfactual Story Generator Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng

CVPR 2021 Transformation Driven Visual Reasoning Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng

NeurIPS 2021 Uncertainty Calibration for Ensemble-Based Debiasing Methods Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan

IJCAI 2020 Evaluating Natural Language Generation via Unbalanced Optimal Transport Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng

IJCAI 2020 Modeling Topical Relevance for Multi-Turn Dialogue Generation Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin

AAAI 2019 HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng

ACML 2017 Locally Smoothed Neural Networks Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng

AAAI 2016 A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng

IJCAI 2016 Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng

AAAI 2016 SPAN: Understanding a Question with Its Support Answers Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng

AAAI 2016 Text Matching as Image Recognition Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng