3 citations · 4 across the 5 of their papers we have counts for
7 papers
ARISE-RL: Agentic Rubric-Grounded Iterative Self-Evolution with Reinforcement Learning
Fanrui Zhang, Ruixue Ding, Qiang Zhang +13
Training open-ended agents via reinforcement learning (RL) is hindered by the lack of verifiable gold answers and scalable rubrics. Moreover, even near the model's capability bound…
ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
Qiang Zhang, Boli Chen, Fanrui Zhang +14
Reinforcement learning has substantially improved the performance of LLM agents on tasks with verifiable outcomes, but it still struggles on open-ended agent tasks with vast soluti…
Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
Fanrui Zhang, Dian Li, Qiang Zhang +6
The rapid spread of multimodal misinformation on social media has raised growing concerns, while research on video misinformation detection remains limited due to the lack of large…
ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
Fanrui Zhang, Jiawei Liu, Jiaying Zhu +4
Multimodal Large Language Models (MLLMs), such as GPT4o, have shown strong capabilities in visual reasoning and explanation generation. However, despite these strengths, they face…
Downstream-Pretext Domain Knowledge Traceback for Active Learning
Beichen Zhang, Liang Li, Zheng-Jun Zha +2
Active learning (AL) is designed to construct a high-quality labeled dataset by iteratively selecting the most informative samples. Such sampling heavily relies on data representat…
Hierarchical Information Enhancement Network for Cascade Prediction in Social Networks
Fanrui Zhang, Jiawei Liu, Qiang Zhang +2
Understanding information cascades in networks is a fundamental issue in numerous applications. Current researches often sample cascade information into several independent paths o…