Junfei Wu

According to our database, Junfei Wu authored at least 21 papers between 2020 and 2026.

Collaborative distances:

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

2026

RealChart2Code: Advancing Chart-to-Code Generation with Real Data and Multi-Task Evaluation.

Jiajun Zhang, Yuying Li, Zhixun Li, Xingyu Guo, Jingzhuo Wu, Leqi Zheng, Yiran Yang, Jianke Zhang, Qingbin Li, Shannan Yan, Zhetong Li, Changguo Jia, Junfei Wu, Zilei Wang, Qiang Liu, Liang Wang

CoRR, March, 2026

STRIVE: Structured Reasoning for Self-improvement in Claim Verification.

Haisong Gong, Jing Li, Junfei Wu, Qiang Liu, Shu Wu

Mach. Intell. Res., February, 2026

Chatting with Images for Introspective Visual Thinking.

Junfei Wu, Jian Guan, Qiang Liu, Shu Wu, Liang Wang, Wei Wu, Tieniu Tan

CoRR, February, 2026

OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models.

Yue Ding, Yiyan Ji, Jungang Li, Xuyang Liu, Xinlong Chen, Junfei Wu, Bozhou Li, Bohan Zeng, Yang Shi, Yushuo Guan, Yuanxing Zhang, Jiaheng Liu, Qiang Liu, Pengfei Wan, Liang Wang

CoRR, February, 2026

2025

D²HScore: Reasoning-Aware Hallucination Detection via Semantic Breadth and Depth Analysis in LLMs.

Yue Ding, Xiaofang Zhu, Tianze Xia, Junfei Wu, Xinlong Chen, Qiang Liu, Liang Wang

CoRR, September, 2025

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing.

Junfei Wu, Jian Guan, Kaituo Feng, Qiang Liu, Shu Wu, Liang Wang, Wei Wu, Tieniu Tan

CoRR, June, 2025

STRIVE: Structured Reasoning for Self-Improvement in Claim Verification.

Haisong Gong, Jing Li, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang

CoRR, February, 2025

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SHARP: Steering Hallucination in LVLMs via Representation Engineering.

Junfei Wu, Yue Ding, Guofan Liu, Tianze Xia, Ziyue Huang, Dianbo Sui, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan

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

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models.

Xinlong Chen, Yuanxing Zhang, Qiang Liu, Junfei Wu, Fuzheng Zhang, Tieniu Tan

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

A Survey on Personalized Alignment - The Missing Piece for Large Language Models in Real-World Applications.

Jian Guan, Junfei Wu, Jia-Nan Li, Chuanqi Cheng, Wei Wu

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

2024

Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection.

Guofan Liu, Jinghao Zhang, Qiang Liu, Junfei Wu, Shu Wu, Liang Wang

IEEE Trans. Knowl. Data Eng., December, 2024

Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks.

Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang

IEEE Trans. Knowl. Data Eng., November, 2024

Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing.

Qiang Liu, Junfei Wu, Shu Wu, Liang Wang

IEEE Trans. Knowl. Data Eng., November, 2024

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

CoRR, 2024

Can Large Language Models Detect Rumors on Social Media?

Qiang Liu, Xiang Tao, Junfei Wu, Shu Wu, Liang Wang

CoRR, 2024

Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models.

Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan

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

2022

Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection.

Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2022

Evidence-aware Fake News Detection with Graph Neural Networks.

Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention.

Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2020

SRDT: A Novel Robust RGB-D Tracker Based on Siamese Region Proposal Network and Depth Information.

Zhen Sun, Junfei Wu, Lu Wang, Qingdang Li

Int. J. Pattern Recognit. Artif. Intell., 2020