Jiaqi Li

According to our database, Jiaqi Li authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

ELAIPBench: A Benchmark for Expert-Level Artificial Intelligence Paper Understanding.

Xinbang Dai, Huikang Hu, Yongrui Chen, Jiaqi Li, Rihui Jin, Yuyang Zhang, Xiaoguang Li, Lifeng Shang, Guilin Qi

CoRR, October, 2025

Pandora: Leveraging Code-driven Knowledge Transfer for Unified Structured Knowledge Reasoning.

Yongrui Chen, Junhao He, Linbo Fu, Shenyu Zhang, Rihui Jin, Xinbang Dai, Jiaqi Li, Dehai Min, Nan Hu, Yuxin Zhang, Guilin Qi, Yi Huang, Tongtong Wu

CoRR, August, 2025

Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models.

Qianshan Wei, Jiaqi Li, Zihan You, Yi Zhan, Kecen Li, Jialin Wu, Xinfeng Li Hengjun Liu, Yi Yu, Bin Cao, Yiwen Xu, Yang Liu, Guilin Qi

CoRR, June, 2025

After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in RAG.

Xinbang Dai, Huikang Hu, Yuncheng Hua, Jiaqi Li, Yongrui Chen, Rihui Jin, Nan Hu, Guilin Qi

CoRR, May, 2025

Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models.

Jiaqi Li, Chuanyi Zhang, Miaozeng Du, Hui Zhang, Yongrui Chen, Qianshan Wei, Junfeng Fang, Ruipeng Wang, Sheng Bi, Guilin Qi

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

Open-World Attribute Mining for E-Commerce Products with Multimodal Self-Correction Instruction Tuning.

Jiaqi Li, Yanming Li, Xiaoli Shen, Chuanyi Zhang, Guilin Qi, Sheng Bi

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

2024

Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models.

Jiaqi Li, Qianshan Wei, Chuanyi Zhang, Guilin Qi, Miaozeng Du, Yongrui Chen, Sheng Bi

CoRR, 2024

Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models.

Jiaqi Li, Qianshan Wei, Chuanyi Zhang, Guilin Qi, Miaozeng Du, Yongrui Chen, Sheng Bi, Fan Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study.

Keyu Wang, Guilin Qi, Jiaqi Li, Songlin Zhai

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

MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing.

Jiaqi Li, Miaozeng Du, Chuanyi Zhang, Yongrui Chen, Nan Hu, Guilin Qi, Haiyun Jiang, Siyuan Cheng, Bozhong Tian

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

2023

Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning.

Jiaqi Li, Guilin Qi, Chuanyi Zhang, Yongrui Chen, Yiming Tan, Chenlong Xia, Ye Tian

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction.

Jiaqi Li, Chuanyi Zhang, Miaozeng Du, Dehai Min, Yongrui Chen, Guilin Qi

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