2 papers
cs.CL2026
Hallucination Detection-Guided Preference Optimization for Clinical Summarization
Shamanth Kuthpadi Seethakantha, Dung Ngoc Thai, Vara Prasad Gudi +6
Large language models (LLMs) have shown promise on summarization tasks, but they often produce hallucinations, which are unsupported or incorrect statements that limit their reliab…
cs.CL2025
OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics
Vineeth Dorna, Anmol Mekala, Wenlong Zhao +4
Robust unlearning is crucial for safely deploying large language models (LLMs) in environments where data privacy, model safety, and regulatory compliance must be ensured. Yet the…