arXiv 2026-07-23
Jiatong Li, Yuxuan Ren, Weida Wang, Xiaoyong Wei, Yatao Bian
Chemical reasoning language models are expected to derive molecular answers through faithful chain-of-thought (CoT). However, across four reasoning model families and twelve chemistry tasks, hallucination is widespread …
arXiv 2026-07-23
Hongxin Zhang, Chunru Lin, Junyan Li, Zhou Xian, Tsun-Hsuan Wang, Chuang Gan
Creating dynamic and physically realistic 4D worlds from natural language descriptions is both fascinating and challenging. Traditional computer graphics methods rely on manual creation, requiring extensive human effort…
arXiv 2026-07-23
Chengfeng Zhao, Jinhui Chen, Sirui Liang, Shizhu He, Yequan Wang, Jun Zhao, Kang Liu
While memory systems are essential for agent architectures, pervasive architectural fragmentation restricts systematic research. Existing implementations typically couple different stages of the memory lifecycle, entang…
arXiv 2026-07-23
Fares Fourati, Hinrich Schütze, Eyke Hüllermeier, Iryna Gurevych
The rapid progress of AI has intensified the long-standing pursuit of automation: replacing human participation with algorithms wherever possible. Implicit in this pursuit is the assumption that humans remain in the loo…
arXiv 2026-07-23
Qian Wu, Xinrong Zhou, Zizhan Ma, Kai Chen, Zheyao Gao, Xun Lin, Hongqiu Wu, Longfei Gou, Yixiao Liu, Ann Sin Nga Lau, Qi Dou
Large Language Models (LLMs) show promise for medical education, but most existing systems focus on localized interactions such as question answering or single-turn feedback, rather than organizing an entire clinical ca…