AI
When Trust Meets Truth: Trust-Truth Separability in LLM-as-Judge
Researchers from various institutions have published a paper titled 'When Trust Meets Truth: Trust-T...
AI
ReFrame: Evidence-Guided Test-Time Safety Alignment in Multimodal Large Language Models
Researchers have proposed a new framework called ReFrame to improve the safety of multimodal large l...
AI
Large Language Models at the Intersection of Software Engineering and Software Security:An Evidence-Centered Structured Survey and Research Agenda
Large Language Models (LLMs) are expanding their capabilities beyond code completion to participate ...
AI
Root cause analysis via difference graph discovery from linear time-series data
Researchers have developed a method to identify the root causes of anomalies in complex systems by a...
AI
From Attention Masks to Inert Zero-Vector Tokens: OAttention and O-Closure for Token Dynamics
Researchers have proposed two new concepts in natural language processing (NLP):...
AI
SENTRY: Deterministic, Intelligent Risk Assessment for IT Change Management
Researchers have developed a risk assessment platform called SENTRY to help larg...
AI
Personalized Privacy Control in LLMs via Attention Head Intervention
Researchers propose a new approach to controlling personalized privacy in large ...
AI
Enhancing LLMs in Predictive Political QA with Semi-Structured Data
Researchers have proposed a new framework called PSL to improve large language m...