3 papers
cs.LG2025
Uncertainty Quantification of Large Language Models using Approximate Bayesian Computation
Mridul Sharma, Adeetya Patel, Zaneta D' Souza +3
Despite their widespread applications, Large Language Models (LLMs) often struggle to express uncertainty, posing a challenge for reliable deployment in high stakes and safety crit…
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…