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cs.AI2026
From Papers to Mechanisms: An Evidence-Grounded Knowledge Substrate for Scientific Language Models
Qiuhui Chen, Yibo Liu, Tao Dai +3
Scientific language models often access literature through untyped text chunks, which fragment the functional and evidential structure required for mechanism-rich questions. We int…
cs.AI2026
PathAnchor: Path-Structured Evidence for Scientific Agents
Qiuhui Chen, Jiafan Lu, Shuaimin Tang +5
Scientific agents can retrieve relevant passages yet still lose functional order, mix evidence across sources, or state conclusions that exceed the retrieved record. We introduce P…
cs.AI2025
Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language
Naiqi Li, Peiyuan Liu, Zheng Liu +3
Solving puzzles in natural language poses a long-standing challenge in AI. While large language models (LLMs) have recently shown impressive capabilities in a variety of tasks, the…