Liangzhi Li

According to our database, Liangzhi Li authored at least 10 papers between 2023 and 2024.

Collaborative distances:

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

2024

BlockPruner: Fine-grained Pruning for Large Language Models.

Longguang Zhong, Fanqi Wan, Ruijun Chen, Xiaojun Quan, Liangzhi Li

CoRR, 2024

BESTMVQA: A Benchmark Evaluation System for Medical Visual Question Answering.

Xiaojie Hong, Zixin Song, Liangzhi Li, Xiaoli Wang, Feiyan Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

MHGRL: An Effective Representation Learning Model for Electronic Health Records.

Feiyan Liu, Liangzhi Li, Xiaoli Wang, Feng Luo, Chang Liu, Jinsong Su, Yiming Qian

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

2023

IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning.

Feiyu Zhang, Liangzhi Li, Junhao Chen, Zhouqiang Jiang, Bowen Wang, Yiming Qian

CoRR, 2023

A Unified Generation Approach for Robust Dialogue State Tracking.

Zijian Lin, Beizhang Guo, Tianyuan Shi, Yunhao Li, Xiaojun Quan, Liangzhi Li

Proceedings of the Natural Language Processing and Chinese Computing, 2023

CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care.

Tong Xiang, Liangzhi Li, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Category-Independent Visual Explanation for Medical Deep Network Understanding.

Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Ching Yu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems.

Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction.

Junyi Liu, Liangzhi Li, Tong Xiang, Bowen Wang, Yiming Qian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension.

Guoxin Chen, Yiming Qian, Bowen Wang, Liangzhi Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023