AI
Task-Aware Harness Provisioning for LLM Agents in Mission-Critical Infrastructure Operations
Researchers have developed a new method for optimizing the information and tools available to large ...
AI
Depth Enables Local Entropy: Quadratic Depth Dependence in Deep Variation-Norm ReLU Regression
Researchers Tao Jiang, Minbo Gao, and Shaowei Cai have published a study on the Parhi-Nowak deep-RBV...
AI
Structure-Internalized Rule Language Model for Faithful Knowledge Graph Reasoning
Researchers have proposed a new language model called Structure-Internalized Rule Language Model (SI...
AI
SAGE: Self-Evolving Storyboard Skills via Attribution-Guided Rule Evolution
Researchers have developed a framework called SAGE that automates the process of creating storyboard...
AI
When AI Designs AI: Innovation or Imitation?
Researchers have been using large language models (LLMs) to design methods for c...
AI
Towards Better Agents for Multi-Turn User Interaction: The Next User Turn Is More Than Context
Researchers have proposed a new method called FACA (Feedback-Aware Credit Assign...
AI
SGHA: Evidence-Grounded Research Problem Discovery with Local Language Models
Researchers have developed a system called SGHA to help automate the process of ...
AI
Agent Lightning v1.0: Towards Harnessed Agentic RL
Researchers have released Agent Lightning v1.0, a lightweight framework for trai...