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cs.LG2025
Uncertainty-Aware Calibrated Clinical Text Classification with Large Language Models
Mridul Sharma, Adeetya Patel, Zaneta D' Souza +3
Large language models are increasingly used for clinical text classification, where overconfident misclassifications can directly affect patient care. Existing black-box uncertaint…
cs.IR2025
REARANK: Reasoning Re-ranking Agent via Reinforcement Learning
Le Zhang, Bo Wang, Xipeng Qiu +2
We present REARANK, a large language model (LLM)-based listwise reasoning reranking agent. REARANK explicitly reasons before reranking, significantly improving both performance and…
cs.CL2025
How to Get Your LLM to Generate Challenging Problems for Evaluation
Arkil Patel, Siva Reddy, Dzmitry Bahdanau
The pace of evolution of Large Language Models (LLMs) necessitates new approaches for rigorous and comprehensive evaluation. Traditional human annotation is increasingly impractica…