ASMR-Bench: Detecting Sabotage in ML Research Code
ASMR-Bench benchmarks sabotage detection in ML research, helping improve auditing techniques for AI-generated scientific results.
Enhancing Manufacturing ML Interpretability with LLMs & KGs
Discover how large language models and knowledge graphs improve machine learning interpretability in manufacturing for better decision-making.
Insight-Driven Informal Theorem Proving with LLMs
Discover how insight-driven reasoning enhances informal theorem proving using large language models for improved mathematical problem solving.
Evaluating LLMs for Competency Question Generation
Discover how open and closed LLMs generate competency questions across domains, focusing on readability, relevance, and complexity.
MARCH: AI Multi-Agent System for Accurate CT Reports
Discover MARCH, a multi-agent AI framework enhancing accuracy and reliability in automated CT radiology report generation with clinical hierarchy.