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Open access Sep 2025

OmniExtract: an automatic data extraction tool based on large language model and prompt engineering

Extracting structured information from documents or scientific papers is crucial for data sharing and retrieval. Recently, Large Language Model (LLM) has shown its impressive ability in text understanding and several tools based on LLM has been developed. However, it’s still difficult to find a universal and user-frien...

Yi-Bo Wang, Bixia Tang, Si-Cheng Wu et al. · 0 citations
#natural language process... Preprint Aug 2026

Mitigating Identity Essentialism in LLM Agents with Longitudinal Life Trajectories

Large language models (LLMs) offer a scalable approach to social simulation, but their credibility depends on how agents are constructed. Existing methods can partially reproduce population-level patterns, yet often fail to capture human-like diversity. Our analysis shows that static-profile agents exhibit stronger dem...

Hexi Wang, Yujia Zhou, Bangde Du et al. · 0 citations

LexRubric: A Rubric-Guided Diagnostic Benchmark for Open-Ended Legal Tasks

This work introduces LexRubric, a rubric-based benchmark for evaluating open-ended Chinese legal tasks and evaluates 18 recent general and legal-domain LLMs on LexRubric, showing that different models exhibit distinct capability profiles, and that open-ended legal tasks remain challenging for current LLMs.

Yifan Chen, Haitao Li, Yiran Hu et al. · 1 citation

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