Large Knowledge Model: From Papers to a Scientific Reasoning Landscape
Yuan Huang, Si-Han Hu, Hong-Yu Gu et al.
· 1 citation
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Large Knowledge Model: A Knowledge Foundation for Agentic Science at Scale
The Large Knowledge Model is proposed, a growing, agent-native knowledge foundation that provides a general representation of scientific knowledge across disciplines and an agent-native, reasoning-aware scientific retrieval system that retrieves claims together with their reasoning chains and sources, enabling agents t...
Yuan Huang, Si-Han Hu, Hong-Yu Gu et al.
· 0 citations
Preprint
Aug 2026
Distill Where You Fail: Recovering Learning Signals of Negative RL-Groups from Adaptive Teacher Guidance
RSTG (Recovering Learning Signals via Adaptive Teacher Guidance), which applies distillation selectively and precisely where it matters most, and substantially outperforms naive GRPO+OPD.
Zhuo-Wen Han, Jinwei Xiao, Zhengxi Lu et al.
· 4 citations