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
RexDrug is proposed, an end-to-end reasoning-enhanced relation extraction framework for n-ary drug combination extraction based on large language models and established as a scalable and reliable solution for complex biomedical relation extraction from unstructured text.
Zhi-Jun Wang, Ling Luo, Ding-Hao Pan et al.· IEEE journal of biomedical a...· 1 citation
Experimental results show that BioRENLI consistently outperforms supervised fine-tuned LLM variants in both full-supervision and low-resource settings, while remaining competitive with strong BERT-based baselines, highlighting the effectiveness of enhancing biomedical RE with preference-aligned NLI.
Junliang Liu, Ling Luo, Ding-Hao Pan et al.· Health Information Science a...· 0 citations
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