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Qi Liu

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Book Open access Aug 2026

Benchmarking LLM Agents on Real-World Biological Database Curation for Data-Driven Scientific Discovery

BioDataLab evaluates the capability of autonomous agents to transform raw, heterogeneous biological resources into structured, analysis-ready databases, and underscores that while LLMs are proficient in downstream reasoning, autonomous upstream curation remains a formidable frontier.

Jiaxian Yan, Xi Fang, Jintao Zhu et al. · 0 citations
#large language models Review Open access Sep 2026

A Survey on Table Mining with Large Language Models: Challenges, Advancements and Prospects

This survey conducts a comprehensive review of the literature on table mining with Large Language Models, exploring the challenges unique to this domain, such as heterogeneous table structures, contextual ambiguity, and domain-specific knowledge requirements.

Mingyue Cheng, Qingyang Mao, Qi Liu et al. · 12 citations
Book Open access Aug 2026

Benchmarking LLM Agents on Real-World Biological Database Curation for Data-Driven Scientific Discovery

High-quality biological databases are the bedrock of data-driven scientific discovery. However, the construction of these resources remains a labor-intensive bottleneck, particularly for emerging research frontiers where structured data is non-existent. While LLM-based agents have catalyzed progress in downstream scien...

Jiaxian Yan, Xi Fang, Jintao Zhu et al. · 0 citations
Book Open access Jul 2026

Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimodal Document QA

AD-Reranker is proposed, a novel framework that shifts reranker training from proxy imitation to answer-driven utility optimization, and reformulate the reranker as an environment-grounded agent that interacts with a downstream reader, modeled as a deterministic environment.

Keyu Zhu, Shuanghong Shen, Xianquan Wang et al. · 0 citations

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