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Peiyang Liu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

18

Venues

7

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

18 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLStructKV: Preserving the Structural Skeleton for Scalable Long-Context Inference.Zhirui Chen, Peiyang Liu, Ling Shao
2026ACLParameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning.Zekai Lin, Chao Xue, Di Liang, Xingsheng Han, Peiyang Liu, Xianjie Wu, Lei Jiang, Yu Lu, Bob Simons, Shuang Liang, Minlong Peng
2026ACLLearning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories.Peiyang Liu, Zhirui Chen, Xi Wang, Di Liang, Youru Li, Zhi Cai, Wei Ye
2026ACLNeuroSym-Cal: Bridging the Reasoning-Execution Gap in Code Generation via Hierarchical Calibration.Peiyang Liu, Yining Wang, Youru Li, Long Li, Zhi Cai, Wei Ye
2026ACLSQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation.Long Li, Zhijian Zhou, Jiangxuan Long, Peiyang Liu, Weidi Xu, Zhe Wang, Shirui Pan, Chao Qu
2026ACLToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback.Yutao Mou, Zhangchi Xue, Lijun Li, Peiyang Liu, Shikun Zhang, Wei Ye, Jing Shao
2026ACLWhy Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models.Chao Xue, Yao Wang, Mengqiao Liu, Di Liang, Xingsheng Han, Peiyang Liu, Xianjie Wu, Chenyao Lu, Lei Jiang, Yu Lu, Haibo Shi, Shuang Liang, Minlong Peng, Flora D. Salim
2026ACLReason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty.Chao Xue, Yao Wang, Mengqiao Liu, Di Liang, Xingsheng Han, Peiyang Liu, Xianjie Wu, Chenyao Lu, Lei Jiang, Yu Lu, Haibo Shi, Shuang Liang, Minlong Peng, Flora D. Salim
2026SIGIRChain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation.Peiyang Liu, Ziqiang Cui, Xi Wang, Di Liang, Wei Ye
2026SIGIRBeyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation.Peiyang Liu, Qiang Yan, Ziqiang Cui, Di Liang, Xi Wang, Wei Ye
2025EMNLPStructural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling.Xiaoyu Liu, Di Liang, Hongyu Shan, Peiyang Liu, Yonghao Liu, Muling Wu, Yuntao Li, Xianjie Wu, Li Miao, Jiangrong Shen, Minlong Peng
2025SIGIRQueries Are Not Alone: Clustering Text Embeddings for Video Search.Peiyang Liu, Xi Wang, Ziqiang Cui, Wei Ye
2023CIKMRetrieval-Based Unsupervised Noisy Label Detection on Text Data.Peiyang Liu, Jinyu Yang, Lin Wang, Sen Wang, Yunlai Hao, Huihui Bai
2022COLINGLabel Smoothing for Text Mining.Peiyang Liu, Xiangyu Xi, Wei Ye, Shikun Zhang
2021CIKMDistilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval.Peiyang Liu, Xi Wang, Lin Wang, Wei Ye, Xiangyu Xi, Shikun Zhang
2021EMNLPImproving Embedding-based Large-scale Retrieval via Label Enhancement.Peiyang Liu, Xi Wang, Sen Wang, Wei Ye, Xiangyu Xi, Shikun Zhang
2021NAACLQuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval.Peiyang Liu, Sen Wang, Xi Wang, Wei Ye, Shikun Zhang
2020IJCNNNot All Synonyms Are Created Equal: Incorporating Similarity of Synonyms to Enhance Word Embeddings.Peiyang Liu, Wei Ye, Xiangyu Xi, Tong Wang, Jinglei Zhang, Shikun Zhang