Author

Shixiang Tang

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#machine learning Preprint Oct 2026

GRAM: Correcting Frozen Time-Series Foundation Models via Graph-Retrieved Amplitude Memory

Time-series foundation models (TSFMs) enable zero-shot forecasting through large-scale cross-domain pretraining, while retrieval augmentation further improves their performance by leveraging historical information. However, existing methods typically correct TSFM forecasts using the ground-truth futures of similar hist...

Xiao-Yun Yu, Xiangfei Qiu, Yong-Gui Huang et al. · 0 citations

Preprint Sep 2026

SymbolicLM: Training Language Models as Symbolic Regressors

Experiments on multiple symbolic regression benchmarks show that SymbolicLM substantially improves structural recovery while maintaining competitive numerical fitting performance, demonstrating that symbolic regression can be explicitly learned as an intrinsic capability of LLMs.

Jun Yao, Ying-Fan Hua, Rui-Kun Li 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. · arXiv.org · 0 citations