AI
TwinGridShield: Consequence-Aware Runtime Authorization for LLM Grid-Agent Actions
Researchers have developed a system called TwinGridShield to prevent large language models from maki...
AI
Visible Reasoning and Indirect Prompt-Injection Monitorability Across English, Tamil, and Tanglish
Researchers studied how a language model responds to indirect prompts in three languages: English, T...
AI
Large Language Model Assisted Operational Monitoring for Battery Energy Storage System Integrated Power Distribution Networks
Researchers have developed a framework for monitoring battery energy storage systems in power distri...
AI
Implementation of a Metacognition Framework for Self-Awareness and Self-Regulation in Ensembles of LLMs
Researchers have developed a metacognition framework to improve Large Language Models' (LLMs) abilit...
AI
A survey of AI-generated voices and their detection
A recent arXiv paper surveys AI-generated voices and their detection methods. Th...
AI
Does the Proof Prove It That Way? Faithful Formalization of Elements Proofs
Researchers have developed a method called Pistis to create formal proofs that a...
AI
OTel: Building Domain-Specialized Telecom LLM Foundations for Intelligent Networks
Researchers have developed OTel, an open-source resource for building domain-spe...
AI
Measuring Reward Hacking and Reasoning-Answer Decoupling Under Position-Confounded Optimization
Researchers have identified a problem in training language models where the mode...