Jieyuan Liu — accepted AI-conference papers

2026

FIRE-Bench: Evaluating Agents on the Rediscovery of Scientific Insights

Zhen Wang, Fan Bai, Zhongyan Luo, Jinyan Su, Kaiser Sun, Xinle Yu +6

ICML 2026poster

Autonomous agents powered by large language models (LLMs) promise to accelerate scientific discovery, but rigorously evaluating their capacity for verifiable discovery remains a central challenge. Existing benchmarks face a trade-off: they either rely on LLM-as-judge evaluations of automatically gen…

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2025

scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery

Yiming Gao, Zhen Wang, Jefferson Chen, Mark Antkowiak, Mengzhou Hu, JungHo Kong +5

NeurIPS 2025poster

We present scPilot, the first systematic framework to practice \textit{omics-native reasoning}: a large language model (LLM) converses in natural language while directly inspecting single-cell RNA-seq data and on-demand bioinformatics tools. scPilot converts core single-cell analyses, i.e., cell-typ…

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