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ORCIDPeiguang Li
2020 – today
- 2025
[j5]Peiwen Zhao, Chong Feng, Peiguang Li, Guanting Dong, Sirui Wang:
INSNER: A generative instruction-based prompting method for boosting performance in few-shot NER. Inf. Process. Manag. 62(3): 104040 (2025)- [c7]Keheng Wang, Feiyu Duan, Peiguang Li, Sirui Wang, Xunliang Cai:
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation. COLING 2025: 2379-2400 - 2024
- [c6]Zhicong Lu, Li Jin, Peiguang Li, Yu Tian, Linhao Zhang, Sirui Wang, Guangluan Xu, Changyuan Tian, Xunliang Cai:
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal. EMNLP 2024: 7518-7530 - [i3]Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang:
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model. CoRR abs/2404.05342 (2024) - [i2]Keheng Wang, Feiyu Duan, Peiguang Li, Sirui Wang, Xunliang Cai:
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation. CoRR abs/2404.14043 (2024) - 2023
- [j4]Hongfeng Yu
, Fanglong Yao, Wanxuan Lu, Nayu Liu, Peiguang Li, Hongjian You, Xian Sun:
Text-Image Matching for Cross-Modal Remote Sensing Image Retrieval via Graph Neural Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 812-824 (2023) - [c5]Yupeng Zhang, Shensi Wang, Peiguang Li, Guanting Dong, Sirui Wang, Yunsen Xian, Zhoujun Li, Hongzhi Zhang:
Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task. ACL (Findings) 2023: 13139-13151 - [c4]Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang:
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model. RecSys 2023: 723-729 - [i1]Keheng Wang, Feiyu Duan, Sirui Wang, Peiguang Li, Yunsen Xian, Chuantao Yin, Wenge Rong, Zhang Xiong:
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering. CoRR abs/2308.13259 (2023) - 2022
- [j3]Peiguang Li, Xian Sun, Hongfeng Yu, Yu Tian, Fanglong Yao, Guangluan Xu:
Entity-Oriented Multi-Modal Alignment and Fusion Network for Fake News Detection. IEEE Trans. Multim. 24: 3455-3468 (2022) - [c3]Fanglong Yao, Nayu Liu, Peiguang Li, Dongshuo Yin, Chenglong Liu, Xian Sun:
Cross-Modal Remote Sensing Image Retrieval Via Intra- and Inter-Modal Feature Matching. IGARSS 2022: 1792-1795 - 2021
- [j2]Peiguang Li, Xian Sun, Hongfeng Yu, Wenkai Zhang, Guangluan Xu:
An enhanced dynamic interaction network for claim verification. Neurocomputing 439: 34-43 (2021) - [c2]Peiguang Li, Xuan Li, Xian Sun:
1213Li at SemEval-2021 Task 6: Detection of Propaganda with Multi-modal Attention and Pre-trained Models. SemEval@ACL/IJCNLP 2021: 1032-1036 - 2020
- [j1]Peiguang Li, Hongfeng Yu, Wenkai Zhang, Guangluan Xu, Xian Sun:
SA-NLI: A Supervised Attention based framework for Natural Language Inference. Neurocomputing 407: 72-82 (2020)
2010 – 2019
- 2019
- [c1]Xiaoke Wang, Guangluan Xu, Yang Wang, Daoyu Lin, Peiguang Li, Xiujing Lin:
Thin and Thick Cloud Removal on Remote Sensing Image by Conditional Generative Adversarial Network. IGARSS 2019: 1426-1429
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