Liang Pang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 149

Top Venues

Publications

Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua
A Survey of Generative Search and Recommendation in the Era of Large Language Models. CoRR (2024)
Minghe Gao, Shuang Chen, Liang Pang, Yuan Yao, Jisheng Dang, Wenqiao Zhang, Juncheng Li, Siliang Tang, Yueting Zhuang, Tat-Seng Chua
Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. CoRR (2024)
Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, Xueqi Cheng
Stable Knowledge Editing in Large Language Models. CoRR (2024)
Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
A Taxation Perspective for Fair Re-ranking. SIGIR (2024)
Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
A Taxation Perspective for Fair Re-ranking. CoRR (2024)
Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. CoRR (2024)
Tianxiang Ye, Qi Wu, Junyuan Deng, Guoqing Liu, Liu Liu, Songpengcheng Xia, Liang Pang, Wenxian Yu, Ling Pei
Thermal-NeRF: Neural Radiance Fields from an Infrared Camera. CoRR (2024)
Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. CoRR (2024)
Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. ACM Trans. Inf. Syst. 42 (5) (2024)
Chenxu Yang, Zheng Lin, Chong Tian, Liang Pang, Lanrui Wang, Zhengyang Tong, Qirong Ho, Yanan Cao, Weiping Wang
A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation. CoRR (2024)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. ACM Trans. Inf. Syst. 42 (2) (2024)
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. CoRR (2024)
Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. SIGIR (2024)
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models. CoRR (2024)
Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
Can Small Language Models be Good Reasoners for Sequential Recommendation? CoRR (2024)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. WWW (2024)
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. ICMR (2024)
Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
Can Small Language Models be Good Reasoners for Sequential Recommendation? WWW (2024)
Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models. CoRR (2024)
Junkai Zhou, Liang Pang, Ya Jing, Jia Gu, Huawei Shen, Xueqi Cheng
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent. CoRR (2024)
Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. WWW (2024)
Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. CoRR (2024)
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. ACL (1) (2024)
Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu
Neural Retrievers are Biased Towards LLM-Generated Content. KDD (2024)
Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
Qsnail: A Questionnaire Dataset for Sequential Question Generation. CoRR (2024)
Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. KDD (2024)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution. CoRR (2024)
Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. ACL (Findings) (2024)
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
Event-aware Video Corpus Moment Retrieval. CoRR (2024)
Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang
GraphEdit: Large Language Models for Graph Structure Learning. CoRR (2024)
Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin
Beyond Memorization: The Challenge of Random Memory Access in Language Models. ACL (1) (2024)
Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
UnKE: Unstructured Knowledge Editing in Large Language Models. CoRR (2024)
Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
Qsnail: A Questionnaire Dataset for Sequential Question Generation. LREC/COLING (2024)
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. CoRR (2024)
Bowen Jiang, Liang Pang, Feng Liu
Integration mixer: An efficient mixed neural network for memory dynamic stability analysis in high dimensional variation space. Integr. 97 (2024)
Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. CoRR (2024)
Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin
Beyond Memorization: The Challenge of Random Memory Access in Language Models. CoRR (2024)
Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. CoRR (2024)
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
Visual Reasoning: From State to Transformation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
Plot Retrieval as an Assessment of Abstract Semantic Association. CoRR (2023)
Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
Multi-video Moment Ranking with Multimodal Clue. CoRR (2023)
Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Jun Xu
LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts. CoRR (2023)
Qi Wang, Jianjun Cui, Yanhong Tang, Liang Pang, Kai Chen, Baowu Zhang
Research on a Precision Calibration Model of a Flexible Strain Sensor Based on a Variable Section Cantilever Beam. Sensors 23 (10) (2023)
Minghe Gao, Juncheng Li, Hao Fei, Liang Pang, Wei Ji, Guoming Wang, Wenqiao Zhang, Siliang Tang, Yueting Zhuang
De-fine: Decomposing and Refining Visual Programs with Auto-Feedback. CoRR (2023)
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
Visual Transformation Telling. CoRR (2023)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. CoRR (2023)
Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. EMNLP (Findings) (2023)
Liang Pang
Design and Improvement of Airborne Ocean Radar Fault Detection Algorithm. ADHIP (2) (2023)
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
Visual Reasoning: from State to Transformation. CoRR (2023)
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. CoRR (2023)
Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. CoRR (2023)
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
LLMDet: A Large Language Models Detection Tool. CoRR (2023)
Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. CoRR (2023)
Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. EMNLP (2023)
Tong Hua, Tao Li, Liang Pang, Guoqing Liu, Wencheng Xuanyuan, Chang Shu, Ling Pei
PLV-IEKF: Consistent Visual-Inertial Odometry using Points, Lines, and Vanishing Points. ROBIO (2023)
Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua
Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study. CoRR (2023)
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. CoRR (2023)
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
LLMDet: A Third Party Large Language Models Generated Text Detection Tool. EMNLP (Findings) (2023)
Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua
Structured, Complex and Time-complete Temporal Event Forecasting. CoRR (2023)
Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng
AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval. CoRR (2023)
Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. CoRR (2023)
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. ACL (1) (2023)
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. CoRR (2023)
Liang Pang, Mengyun Yao, Xiao Shi, Hao Yan, Longxin Shi
CharTM: The dynamic stability characterization for memory based on tail distribution modeling. Microelectron. J. 133 (2023)
Liang Pang
Numerical Simulation Model Construction of Swept Frequency Dielectric Logging Response Based on Wireless Communication. ADHIP (2) (2023)
Qifan Yu, Juncheng Li, Longhui Wei, Liang Pang, Wentao Ye, Bosheng Qin, Siliang Tang, Qi Tian, Yueting Zhuang
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data. CoRR (2023)
Tong Hua, Tao Li, Liang Pang, Guoqing Liu, Wencheng Xuanyuan, Chang Shu, Ling Pei
PLV-IEKF: Consistent Visual-Inertial Odometry using Points, Lines, and Vanishing Points. CoRR (2023)
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. EMNLP (Findings) (2023)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. ACL (1) (2023)
Liang Pang, Ziqi Wang, Rui Shi, Mengyun Yao, Xiao Shi, Hao Yan, Longxin Shi
An efficient SRAM yield analysis method based on scaled-sigma adaptive importance sampling with meta-model accelerated. Integr. 89 (2023)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-seng Chua
Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks. CoRR (2023)
Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation. AAAI (2023)
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. SIGIR (2022)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. CoRR (2022)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. CIKM (2022)
Bolin Zhang, Bin Jiang, Chao Yang, Liang Pang
Dual-Channel Localization Networks for Moment Retrieval with Natural Language. ICMR (2022)
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. CoRR (2022)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. CoRR (2022)
Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
Region-based Cross-modal Retrieval. IJCNN (2022)
Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Ji-Rong Wen
Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. COLING (2022)
Liang Pang, Yanyan Lan, Xueqi Cheng
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. CIKM (2021)
Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng
Sketch and Customize: A Counterfactual Story Generator. CoRR (2021)
Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan
Uncertainty Calibration for Ensemble-Based Debiasing Methods. NeurIPS (2021)
Liang Pang, Yanyan Lan, Xueqi Cheng
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. CoRR (2021)
Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng
Transductive Learning for Unsupervised Text Style Transfer. EMNLP (1) (2021)
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
Adaptive Information Seeking for Open-Domain Question Answering. CoRR (2021)
Liang Pang, Qingyao Ai, Jun Xu
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. WSDM (2021)
Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng
Transductive Learning for Unsupervised Text Style Transfer. CoRR (2021)
Liang Pang, Shan Shen, Mengyun Yao
A Spline-High Dimensional Model Representation for SRAM Yield Estimation in High Sigma and High Dimensional Scenarios. IEEE Access 9 (2021)
Lin Bo, Liang Pang, Gang Wang, Jun Xu, XiuQiang He, Ji-Rong Wen
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm. CoRR (2021)
Liang Pang, Qingyao Ai, Jun Xu
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. SIGIR (2021)
Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Yanyan Lan
Uncertainty Calibration for Ensemble-Based Debiasing Methods. CoRR (2021)
Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng
Sketch and Customize: A Counterfactual Story Generator. AAAI (2021)
Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
Toward the Understanding of Deep Text Matching Models for Information Retrieval. CoRR (2021)
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
Adaptive Information Seeking for Open-Domain Question Answering. EMNLP (1) (2021)
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
Transformation Driven Visual Reasoning. CVPR (2021)
Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng
A Deep Look into neural ranking models for information retrieval. Inf. Process. Manag. 57 (6) (2020)
Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
Beyond Language: Learning Commonsense from Images for Reasoning. CoRR (2020)
Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng
Evaluating Natural Language Generation via Unbalanced Optimal Transport. IJCAI (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Liang Pang