Liang Pang
Orcid: 0000-0003-1161-8546Affiliations:
- Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- University of Chinese Academy of Sciences (UCAS), Beijing, China (PhD 2018)
According to our database1,
Liang Pang
authored at least 128 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Can Synthetic Query Rewrites Capture User Intent Better than Humans in Retrieval-Augmented Generation?
CoRR, September, 2025
Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation.
CoRR, September, 2025
Stop Spinning Wheels: Mitigating LLM Overthinking via Mining Patterns for Early Reasoning Exit.
CoRR, August, 2025
Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model.
CoRR, August, 2025
GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace.
CoRR, May, 2025
Distilling the Implicit Multi-Branch Structure in LLMs' Reasoning via Reinforcement Learning.
CoRR, May, 2025
Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models.
CoRR, April, 2025
FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models.
CoRR, February, 2025
CoRR, February, 2025
Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs?
CoRR, February, 2025
CoRR, February, 2025
Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding.
ACM Trans. Inf. Syst., September, 2024
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework.
ACM Trans. Inf. Syst., March, 2024
AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models.
CoRR, 2024
Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution.
CoRR, 2024
Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop.
CoRR, 2024
A Survey of Generative Search and Recommendation in the Era of Large Language Models.
CoRR, 2024
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models.
CoRR, 2024
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models.
CoRR, 2024
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation.
Proceedings of the ACM on Web Conference 2024, 2024
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023
CoRR, 2023
Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study.
CoRR, 2023
LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts.
CoRR, 2023
Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks.
CoRR, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning.
CoRR, 2022
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
CoRR, 2021
CoRR, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Knowl. Based Syst., 2020
Inf. Process. Manag., 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the ICBDC 2020: 5th International Conference on Big Data and Computing, 2020
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching.
Proceedings of the Information Retrieval Technology, 2018
2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of The 9th Asian Conference on Machine Learning, 2017
2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Advances in Information Retrieval, 2016
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2014
Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform.
CoRR, 2014
A hybrid approach of PTSVM and ELM inspired by samples' geometric distribution structure.
Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014
2013
CoRR, 2013
Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013