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Jin-Zhong Ning

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#natural language process... Preprint Oct 2026

Specialized Decision Models vs. General-Purpose LLMs: Benchmarking Jev Across Knowledge, Reasoning, and Multilingual Tasks

Jev is a"System One"model that returns a choice among given options instead of generating text. We study how such a specialized decision model compares with general-purpose large language models (LLMs). We evaluate Jev on 13 multiple-choice benchmarks covering knowledge, reasoning, and multilingual understanding, and c...

Xing Li, Qing-Cheng Chang, Jin-Zhong Ning et al. · 0 citations
#natural language process... Preprint Oct 2026

Can Decision Models Understand Stance? Evaluating Jev Against General-Purpose LLMs

Evaluated Jev on two stance detection datasets, VAST and ZS-CSD, shows competitive performance on VAST, matching GPT-5.6 and outperforming the other general-purpose LLMs, but falls behind stronger LLMs on ZS-CSD, particularly in distinguishing favor from against.

Xing Li, Jin-Zhong Ning, Yi-Jia Zhang et al. · 0 citations

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