Xuefeng Song — accepted AI-conference papers

2026

Genome-Factory: A Library for Tuning, Deploying, and Interpreting Genomic Foundation Models

Weimin Wu, Xuefeng Song, Yibo Wen, Qinjie Lin, Zhihan Zhou, Jerry Yao-Chieh Hu +2

ICML 2026poster

We introduce Genome-Factory, the first integrated Python library for tuning, deploying, and interpreting genomic foundation models. Our core contribution is to simplify and unify the workflow for genomic model development: data collection, model tuning, inference, benchmarking, and interpretability.…

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2026

Sci2Pol: Evaluating and Fine-tuning LLMs on Scientific-to-Policy Brief Generation

Weimin Wu, Alexander C Furnas, Eddie Yang, Gefei Liu, Akhil Pandey Akella, Xuefeng Song +2

ICLR 2026poster

We propose Sci2Pol-Bench and Sci2Pol-Corpus, the first benchmark and training dataset for evaluating and fine-tuning large language models (LLMs) on policy brief generation from a scientific paper. We build Sci2Pol-Bench on a five-stage taxonomy to mirror the human writing process: (i) Autocompleti…

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