3 citations · 3 across the 3 of their papers we have counts for
4 papers
TCMScience: An Autonomous Scientist for Traditional Chinese Medicine
Yanlan Kang, Ruiqi Liu, Xinpei Gu +4
Traditional Chinese medicine (TCM) research connects classical texts, medicinal entities, molecular assays, computational predictions, and clinical studies. An autonomous research…
IncentRL: The Trade-Off Between Preference Guidance and Task Performance
Xuening Wu, Yanlan Kang, Shenqin Yin
Preference-based reward shaping can guide reinforcement learning, but adding preference signals to the reward may unintentionally change the task being optimized. We address this p…
SGM: A Statistical Godel Machine for Risk-Controlled Recursive Self-Modification
Xuening Wu, Shenqin Yin, Yanlan Kang +4
Recursive self-modification is increasingly central in AutoML, neural architecture search, and adaptive optimization, yet no existing framework ensures that such changes are made s…
From Efficient Multimodal Models to World Models: A Survey
Xinji Mai, Zeng Tao, Junxiong Lin +5
Multimodal Large Models (MLMs) are becoming a significant research focus, combining powerful large language models with multimodal learning to perform complex tasks across differen…