Large Language Models (LLMs) are increasingly used for agent-based virtual cell modeling, yet existing frameworks rely on unstructured retrieval or static prompt engineering, injecting noisy evidence and wasting inference budget on redundant tool-use trajectories. We propose VCAgent, a self-evolving framework that opti...
Zhiyun Li, Rong Han, Xiao-Yong Wang et al.· Proceedings of the 32nd ACM...· 0 citations
StateFlow is presented, a sequence pipeline parallelism system for models with linear recurrence that partitions each sequence into chunks and schedules their execution while propagating boundary states and gradients across chunks, thereby reducing activation lifetimes and improving training throughput.
Wenxuan Zhao, Yingfa Chen, Xu Han et al.· 0 citations
VCAgent is proposed, a self-evolving framework that optimizes how biological knowledge from external APIs is structured and integrated into LLM reasoning, and introduces a schema-based slot filling mechanism that transforms raw API responses into compact, typed representations, replacing unstructured text concatenation...
Zhiyun Li, Rong Han, Xiao-Yong Wang et al.· Proceedings of the 32nd ACM...· 0 citations
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