Single-cell proteomics requires computational choices to remain aligned with experimental design as research questions evolve. Here we present ScProteoAgent, which translates natural-language requests into domain-specific calculations and preserves research intent, analysis design, matrix-processing history and statist...
Run-Wen Hu, Ke-Yan Ding, Wen-Wen Wang et al.· bioRxiv· 0 citations
This work identifies and formalizes the Distribution-Value Coevolution principle: the training value of data is not intrinsic, but emerges dynamically from the interaction between data characteristics and the model's evolving capability boundary, and operationalizes this principle through a unified framework.
Zairun Yang, Yanbo Yang, Chenyi Zhou et al.· Proceedings of the 32nd ACM...· 0 citations
SciToolAgent-Evo, an ontology-aware self-evolving agent for open-world scientific tool acquisition, driven by an evolving memory of skills, experiences, and an ontologized tool graph achieves state-of-the-art performance, validating its robustness and generalization.
Yuqi Tang, Chenyi Zhou, Libin Wang et al.· arXiv.org· 0 citations
Reinforcement learning from human feedback (RLHF) has become the cornerstone of aligning large language models (LLMs) with human intent. Yet a fundamental question remains unaddressed: how should training data be scheduled when both the model's capabilities and the utility of data are constantly evolving? Current pipel...
Zairun Yang, Yanbo Yang, Chenyi Zhou et al.· Proceedings of the 32nd ACM...· 0 citations
SciAtlas is presented, a shared, machine-actionable cross-disciplinary scholarly knowledge infrastructure that integrates evidential, conceptual, disciplinary, expertise, and normative layers under a shared schema and achieves a unified neuro-symbolic retrieval mechanism that grounds heterogeneous research objects, pro...
Shuofei Qiao, Yun-Xiang Wei, Bu-Sheng Zhang et al.· 1 citation
Results validate that KG-guided reasoning serves as a critical mechanism to compensate for parameter disparity, particularly in tasks requiring deep traversal of biological mechanisms.
Tianwen Lyu, Zhuang Xiang, Keyan Ding et al.· Proceedings of the 32nd ACM...· 0 citations
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