Lei Liang

According to our database, Lei Liang authored at least 54 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hierarchical agent reflection for aligning LLM reasoning with clinical diagnostic processes.

Xinda Wang, Xiaotong Li, Deng Zhao, Kehua Feng, Lei Liang, Zhiqiang Zhang, Keyan Ding, Huajun Chen, Bo Wan, Qiang Zhang

Health Inf. Sci. Syst., December, 2026

LightThinker++: From Reasoning Compression to Memory Management.

Yuqi Zhu, Jintian Zhang, Zhenjie Wan, Yujie Luo, Shuofei Qiao, Zhengke Gui, Da Zheng, Lei Liang, Huajun Chen, Ningyu Zhang

CoRR, April, 2026

Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning.

Zhaoyan Gong, Zhiqiang Liu, Songze Li, Xiaoke Guo, Yuanxiang Liu, Xinle Deng, Zhizhen Liu, Lei Liang, Huajun Chen, Wen Zhang

CoRR, January, 2026

LookAhead Tuning: Safer Language Models via Partial Answer Previews.

Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Bryan Hooi, Shumin Deng

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Self-Correction Distillation for Structured Data Question Answering.

Yushan Zhu, Wen Zhang, Long Jin, Mengshu Sun, Ling Zhong, Zhiqiang Liu, Juan Li, Lei Liang, Chong Long, Chao Deng, Junlan Feng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction.

Jun Xu, Xinkai Du, Yu Ao, Peilong Zhao, Yang Li, Ling Zhong, Lin Yuan, Zhongpu Bo, Xiaorui Wang, Mengshu Sun, Zhengke Gui, Dalong Zhang, ZhaoYang Wang, Qiwei Wang, Yangyang Hou, ZhiYing Yi, Haofen Wang, Huajun Chen, Lei Liang, Jun Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction.

Zhiqiang Liu, Yin Hua, Mingyang Chen, Yichi Zhang, Zhuo Chen, Lei Liang, Wen Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ClinDEF: A Dynamic Evaluation Framework for Large Language Models in Clinical Reasoning.

Yuqi Tang, Jing Yu, Zichang Su, Kehua Feng, Zhihui Zhu, Libin Wang, Lei Liang, Qiang Zhang, Keyan Ding, Huajun Chen

CoRR, December, 2025

Knowledge-Augmented Long-CoT Generation for Complex Biomolecular Reasoning.

Tianwen Lyu, Xiang Zhuang, Keyan Ding, Xinzhe Cao, Lei Liang, Wei Zhao, Qiang Zhang, Huajun Chen

CoRR, November, 2025

Evontree: Ontology Rule-Guided Self-Evolution of Large Language Models.

Mingchen Tu, Zhiqiang Liu, Juan Li, Liangyurui Liu, Junjie Wang, Lei Liang, Wen Zhang

CoRR, October, 2025

Structured and Abstractive Reasoning on Multi-modal Relational Knowledge Images.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Lei Liang, Wen Zhang, Huajun Chen

CoRR, October, 2025

CoT-Evo: Evolutionary Distillation of Chain-of-Thought for Scientific Reasoning.

Kehua Feng, Keyan Ding, Zhihui Zhu, Lei Liang, Qiang Zhang, Huajun Chen

CoRR, October, 2025

Collaboration of Fusion and Independence: Hypercomplex-driven Robust Multi-Modal Knowledge Graph Completion.

Zhiqiang Liu, Yichi Zhang, Mengshu Sun, Lei Liang, Wen Zhang

CoRR, September, 2025

KAG-Thinker: Interactive Thinking and Deep Reasoning in LLMs via Knowledge-Augmented Generation.

Dalong Zhang, Jun Xu, Jun Zhou, Lei Liang, Lin Yuan, Ling Zhong, Mengshu Sun, Peilong Zhao, QiWei Wang, Xiaorui Wang, Xinkai Du, Yangyang Hou, Yu Ao, ZhaoYang Wang, Zhengke Gui, ZhiYing Yi, Zhongpu Bo, Haofen Wang, Huajun Chen

CoRR, June, 2025

RiOT: Efficient Prompt Refinement with Residual Optimization Tree.

Chenyi Zhou, Zhengyan Shi, Yuan Yao, Lei Liang, Huajun Chen, Qiang Zhang

CoRR, June, 2025

SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models.

Jing Yu, Yuqi Tang, Kehua Feng, Mingyang Rao, Lei Liang, Zhiqiang Zhang, Mengshu Sun, Wen Zhang, Qiang Zhang, Keyan Ding, Huajun Chen

CoRR, May, 2025

LookAhead Tuning: Safer Language Models via Partial Answer Previews.

Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen

CoRR, March, 2025

High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff.

Hui Wang, Xin Wang, Jiake Ge, Yunpeng Chai, Lei Liang, Peng Yi

Proc. ACM Manag. Data, 2025

ShapeShifter: Workload-Aware Adaptive Evolving Index Structures Based on Learned Models.

Hui Wang, Xin Wang, Jiake Ge, Lei Liang, Peng Yi

Proceedings of the ACM on Web Conference 2025, 2025

OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.

Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, Haofen Wang, Huajun Chen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation.

Lei Liang, Zhongpu Bo, Zhengke Gui, Zhongshu Zhu, Ling Zhong, Peilong Zhao, Mengshu Sun, Zhiqiang Zhang, Jun Zhou, Wenguang Chen, Wen Zhang, Huajun Chen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach.

Zhouyu Jiang, Mengshu Sun, Lei Liang, Zhiqiang Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents.

Yuqi Zhu, Shuofei Qiao, Yixin Ou, Shumin Deng, Shiwei Lyu, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Client-Server Co-design with Multi-modal Codebooks Makes Better and Faster Federate Knowledge Sharing.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Lei Liang, Wen Zhang, Huajun Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MultiRAG: A Knowledge-Guided Framework for Mitigating Hallucination in Multi-Source Retrieval Augmented Generation.

Wenlong Wu, Haofen Wang, Bohan Li, Peixuan Huang, Xinzhe Zhao, Lei Liang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs.

Zhiqiang Liu, Enpei Niu, Yin Hua, Mengshu Sun, Lei Liang, Huajun Chen, Wen Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models.

Zhaoyan Gong, Juan Li, Zhiqiang Liu, Lei Liang, Huajun Chen, Wen Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

GoT-R: Enhancing Large Language Models for Complex Question Answering with Graph-of-Thought Guided Reasoning.

Peixuan Huang, Bohan Li, Wenlong Wu, Haofen Wang, Mengfei Xu, Chen Chen, Lei Liang, Meng Wang

Proceedings of the Database Systems for Advanced Applications, 2025

Croppable Knowledge Graph Embedding.

Yushan Zhu, Wen Zhang, Zhiqiang Liu, Mingyang Chen, Lei Liang, Huajun Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

EventRAG: Enhancing LLM Generation with Event Knowledge Graphs.

Zairun Yang, Yilin Wang, Zhengyan Shi, Yuan Yao, Lei Liang, Keyan Ding, Emine Yilmaz, Huajun Chen, Qiang Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

TrustUQA: A Trustful Framework for Unified Structured Data Question Answering.

Wen Zhang, Long Jin, Yushan Zhu, Jiaoyan Chen, Zhiwei Huang, Junjie Wang, Yin Hua, Lei Liang, Huajun Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

InBox: Recommendation with Knowledge Graph using Interest Box Embedding.

Zezhong Xu, Yincen Qu, Wen Zhang, Lei Liang, Huajun Chen

Proc. VLDB Endow., September, 2024

KGFabric: A Scalable Knowledge Graph Warehouse for Enterprise Data Interconnection.

Peng Yi, Lei Liang, Da Zhang, Yong Chen, Jinye Zhu, Xiangyu Liu, Kun Tang, Jialin Chen, Hao Lin, Leijie Qiu, Jun Zhou

Proc. VLDB Endow., August, 2024

UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction.

Zhiqiang Liu, Mingyang Chen, Yin Hua, Zhuo Chen, Ziqi Liu, Lei Liang, Huajun Chen, Wen Zhang

CoRR, 2024

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation.

Lei Liang, Mengshu Sun, Zhengke Gui, Zhongshu Zhu, Zhouyu Jiang, Ling Zhong, Yuan Qu, Peilong Zhao, Zhongpu Bo, Jin Yang, Huaidong Xiong, Lin Yuan, Jun Xu, Zaoyang Wang, Zhiqiang Zhang, Wen Zhang, Huajun Chen, Wenguang Chen, Jun Zhou

CoRR, 2024

RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment.

Xiaohan Wang, Xiaoyan Yang, Yuqi Zhu, Yue Shen, Jian Wang, Peng Wei, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang

CoRR, 2024

Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks.

Yichi Zhang, Binbin Hu, Zhuo Chen, Lingbing Guo, Ziqi Liu, Zhiqiang Zhang, Lei Liang, Huajun Chen, Wen Zhang

CoRR, 2024

AntBatchInfer: Elastic Batch Inference in the Kubernetes Cluster.

Siyuan Li, Youshao Xiao, Fanzhuang Meng, Lin Ju, Lei Liang, Lin Wang, Jun Zhou

CoRR, 2024

IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus.

Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen

CoRR, 2024

GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs.

Zhongshu Zhu, Bin Jing, Xiaopei Wan, Zhizhen Liu, Lei Liang, Jun Zhou

CoRR, 2024

A Comprehensive Study of Knowledge Editing for Large Language Models.

Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen

CoRR, 2024

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.

Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

InstructIE: A Bilingual Instruction-based Information Extraction Dataset.

Honghao Gui, Shuofei Qiao, Jintian Zhang, Hongbin Ye, Mengshu Sun, Lei Liang, Jeff Z. Pan, Huajun Chen, Ningyu Zhang

Proceedings of the Semantic Web - ISWC 2024, 2024

Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models.

Hanxiao Zhang, Lin Ju, Chan Wu, Jinjing Huang, Youshao Xiao, Zhenglei Zhou, Zhiming Fan, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient and Effective Anchored Densest Subgraph Search: A Convex-programming based Approach.

Xiaowei Ye, Rong-Hua Li, Lei Liang, Zhizhen Liu, Longlong Lin, Guoren Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes.

Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.

Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Editing Conceptual Knowledge for Large Language Models.

Xiaohan Wang, Shengyu Mao, Shumin Deng, Yunzhi Yao, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Prompt-fused Framework for Inductive Logical Query Answering.

Zezhong Xu, Wen Zhang, Peng Ye, Lei Liang, Huajun Chen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion.

Yichi Zhang, Zhuo Chen, Lei Liang, Huajun Chen, Wen Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus.

Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

Unified Hallucination Detection for Multimodal Large Language Models.

Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, Xiaoyan Yang, Qiang Li, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

InstructIE: A Bilingual Instruction-based Information Extraction Dataset.

Honghao Gui, Shuofei Qiao, Jintian Zhang, Hongbin Ye, Mengshu Sun, Lei Liang, Huajun Chen, Ningyu Zhang

CoRR, 2023