4 papers
Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
Yun Qu, Qi Wang, Yixiu Mao +8
Reinforcement learning enhances the reasoning capabilities of large language models but often involves high computational costs due to rollout-intensive optimization. Online prompt…
Closing Reasoning Gaps in Clinical Agents with Differential Reasoning Learning
Jinsong Liu, Yuhang Jiang, Ramayya Krishnan +3
Clinical decision support requires not only correct answers but also clinically valid reasoning. We propose Differential Reasoning Learning (DRL), a framework that improves clinica…
A Benchmark for End-to-End Zero-Shot Biomedical Relation Extraction with LLMs: Experiments with OpenAI Models
Aviv Brokman, Xuguang Ai, Yuhang Jiang +2
Extracting relations from scientific literature is a fundamental task in biomedical NLP because entities and relations among them drive hypothesis generation and knowledge discover…
Relation Extraction with Instance-Adapted Predicate Descriptions
Yuhang Jiang, Ramakanth Kavuluru
Relation extraction (RE) is a standard information extraction task playing a major role in downstream applications such as knowledge discovery and question answering. Although deco…