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20242026
most citedSciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models

4 citations · 5 across the 10 of their papers we have counts for

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5 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.CV2026

iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement Learning

Chang-Bin Zhang, Yujie Zhong, Qiang Zhang +1

While visually grounded Chain-of-Thought (CoT) has emerged as a promising paradigm to enhance fine-grained perception in multimodal large language models (MLLMs), its efficacy duri…

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.AI2026★ 1 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…