MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension. - Guoxin Chen; Yiming Qian; Bowen Wang; Liangzhi Li 004 (EMNLP (Findings), 2023)

TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction. - Junyi Liu; Liangzhi Li 004; Tong Xiang; Bowen Wang; Yiming Qian (EMNLP (Findings), 2023)

Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems. - Tianyuan Shi; Liangzhi Li 004; Zijian Lin; Tao Yang 033; Xiaojun Quan; Qifan Wang 001 (EMNLP, 2023)

Category-Independent Visual Explanation for Medical Deep Network Understanding. - Yiming Qian; Liangzhi Li 004; Huazhu Fu; Meng Wang 001; Qingsheng Peng; Yih Chung Tham; Ching Yu Cheng; Yong Liu 026; Rick Siow Mong Goh; Xinxing Xu (MICCAI (2), 2023)

CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care. - Tong Xiang; Liangzhi Li 004; Wangyue Li; Mingbai Bai; Lu Wei; Bowen Wang; Noa Garcia (NeurIPS, 2023)

A Unified Generation Approach for Robust Dialogue State Tracking. - Zijian Lin; Beizhang Guo; Tianyuan Shi; Yunhao Li; Xiaojun Quan; Liangzhi Li 004 (NLPCC (1), 2023)

IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning. - Feiyu Zhang; Liangzhi Li 004; Junhao Chen; Zhouqiang Jiang; Bowen Wang; Yiming Qian (CoRR, 2023)

MHGRL: An Effective Representation Learning Model for Electronic Health Records. - Feiyan Liu; Liangzhi Li 004; Xiaoli Wang 002; Feng Luo; Chang Liu; Jinsong Su; Yiming Qian (LREC/COLING, 2024)

BESTMVQA: A Benchmark Evaluation System for Medical Visual Question Answering. - Xiaojie Hong; Zixin Song; Liangzhi Li 004; Xiaoli Wang 002; Feiyan Liu (ECML/PKDD (9), 2024)

BlockPruner: Fine-grained Pruning for Large Language Models. - Longguang Zhong; Fanqi Wan; Ruijun Chen 001; Xiaojun Quan; Liangzhi Li 004 (ACL (Findings), 2025)

Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification. - Lu Wei; Liangzhi Li 004; Tong Xiang; Xiao Liu; Noa Garcia (CoRR, 2025)