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Meng-Di Liu

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#artificial intelligence Preprint Oct 2026

JANUS: Enhancing Long-Horizon Autonomous Research with Co-Evolving World Models

Long-horizon autonomous research has shown promise in accelerating scientific progress through sustained cycles of hypothesis generation, implementation, and validation. However, this Generate-Execute-Feedback paradigm relies on reactive trial-and-error, where costly and time-consuming executions introduce severe feedb...

Meng-Di Liu, Cheng-Hao Jia, Hong Chang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

ViCoR: Reliable Molecular Structure Extraction via Spatially Aligned Verification and Executable Revision

ViCoR, a repair-before-rejection framework for iterative VerIfiCatiOn and Revision, is proposed, a repair-before-rejection framework for iterative VerIfiCatiOn and Revision that automatically produces reliable structured outputs while rejecting unresolved cases.

Yu-Jian Yuan, Xin-Ying Cai, Yu-Fan Chen et al. · 0 citations
Review Jul 2026

SciForge: An AI-Native, Multimodal Workbench for Scientific Discovery

SciForge is a multimodal research-native AI workbench that reserves the graphical interface for human judgment while search, parsing, model routing, workflow execution, plotting, writing, and presentation generation run as modular agent-accessible services.

SciForge Team Zhangyang Gao, Minghao Fang, Yifei Liu et al. · 0 citations

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