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20242026
most citedSkillNet: Create, Evaluate, and Connect AI Skills

1 citations · 1 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

When Teachers Mislead: Spurious-Signal-Aware On-Policy Distillation

Yinuo Jiang, Yongjie Ye, Zhou Tao +4

On-Policy distillation (OPD) transfers teacher capabilities by supervising student-sampled trajectories with dense token-level teacher signals. Recent selective OPD methods improve…

cs.AI2026

SciToolAgent-Evo: An Ontology-Aware Self-Evolving Agent for Open-World Scientific Tool Acquisition

Yuqi Tang, Chenyi Zhou, Libin Wang +3

Large language model (LLM) agents have been increasingly adopted in scientific research for organizing and invoking specialized computational tools. However, their reliance on pred…

cs.AI2026

Embodied Science: Closing the Discovery Loop with Agentic Embodied AI

Xiang Zhuang, Chenyi Zhou, Kehua Feng +10

Artificial intelligence has demonstrated remarkable capability in predicting scientific properties, yet scientific discovery remains an inherently physical, long-horizon pursuit go…

cs.AI20261 cited

SkillNet: Create, Evaluate, and Connect AI Skills

Yuan Liang, Ruobin Zhong, Haoming Xu +47

Current AI agents can flexibly invoke tools and execute complex tasks, yet their long-term advancement is hindered by the lack of systematic accumulation and transfer of skills. Wi…

cs.AI2025

Knowledge-Augmented Long-CoT Generation for Complex Biomolecular Reasoning

Tianwen Lyu, Xiang Zhuang, Keyan Ding +5

Understanding complex biomolecular mechanisms requires multi-step reasoning across molecular interactions, signaling cascades, and metabolic pathways. While large language models(L…

cs.AI2025

SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration

Keyan Ding, Jing Yu, Junjie Huang +3

Scientific research increasingly relies on specialized computational tools, yet effectively utilizing these tools demands substantial domain expertise. While Large Language Models…