AI
A Finite-Calibration Regime Map for LLM Judge Panels
Researchers have proposed a new approach to deploying large language model (LLM) judge panels, which...
AI
Self-Harness: Harnesses That Improve Themselves
Researchers have developed a new approach called Self-Harness that enables Large Language Model (LLM...
AI
Calibrated Triage, Not Autonomy: Confidence Estimation for Medical Vision-Language Models
Researchers propose a new approach to medical vision-language models that focuses on calibrated tria...
AI
RepSelect: Robust LLM Unlearning via Representation Selectivity
Researchers have proposed a new method called RepSelect for robustly removing unwanted knowledge and...
AI
SPyCE: Skill-Policy Co-evolution for Multimodal Agents
Researchers propose SPyCE (Skill-Policy Co-evolution), a framework that helps mu...
AI
Verifiably grounded machine interpretation of lunar geology
Researchers have developed a machine learning model that can interpret lunar geo...
AI
LODESTAR: Robust Entropy-Based Answer Selection in Retrieval-Augmented Generation for Question Answering -- Directing Frozen-LLM Entropy with a Reinforcement-Learned Prompt Polarizer under Misleading Passages
Researchers have developed LODESTAR, a method to improve the performance of ques...
AI
Mitigating GenAI-Powered Evidence Pollution for Out-Of-Context Misinformation Detection
Researchers have found that generative AI models can be used to create fake evid...