4 papers
From Verdict to Process: Agentic Reinforcement Learning for Multi-Stage Fact Verification
Rongxin Yang, Shenghong He, Siyuan Zhu +1
Recent approaches combining Large Language Models (LLMs) with retrieval-augmented reasoning have shown promise for automated fact verification. To process complex claims, these ver…
InsightVQA: High-Dimensional Emotion-Cognitive Visual Question Answering Benchmark
Shiyu Wang, Ziyu Liu, Chaoyi Yu +6
Visual emotion understanding requires models not only to recognize emotional states, but also to why they arise and perform higher-level cognitive reasoning. However, existing benc…
Exploring the Secondary Risks of Large Language Models
Jiawei Chen, Zhengwei Fang, Yu Tian +4
Ensuring the safety and alignment of Large Language Models is a significant challenge with their growing integration into critical applications and societal functions. While prior…
Red Teaming Large Reasoning Models
Jiawei Chen, Yang Yang, Chao Yu +6
Large Reasoning Models (LRMs) have emerged as a powerful advancement in multi-step reasoning tasks, offering enhanced transparency and logical consistency through explicit chains o…