Researchers have developed TileMix, a method for accelerating large language model inference. It does this by allowing different levels of precision f...
Researchers have evaluated the ability of large language models to automatically repair errors in planning domain definition languages (PDDL) using a ...
Researchers have proposed a system called GraphGAN to detect Distributed Denial-of-Service (DDoS) attacks in next-generation networks. The system uses...
Researchers have developed LEGO-RL, a framework that improves reinforcement learning for coding agents. Current methods rely on harnesses to manage to...
Researchers have developed a new method for optimizing the information and tools available to large language model (LLM) agents in mission-critical in...
Researchers Tao Jiang, Minbo Gao, and Shaowei Cai have published a study on the Parhi-Nowak deep-RBV^2 architecture for Gaussian regression. They foun...
Researchers have proposed a new language model called Structure-Internalized Rule Language Model (SIRLM) to improve knowledge graph reasoning. SIRLM a...
Researchers have developed a framework called SAGE that automates the process of creating storyboards for short dramas. Storyboards are visual plans t...
Researchers have been using large language models (LLMs) to design methods for complex AI tasks. They evaluated these agent-designed methods on variou...
Researchers have proposed a new method called FACA (Feedback-Aware Credit Assignment) to improve the performance of multi-turn user interaction agents...
Researchers have developed a system called SGHA to help automate the process of discovering new research problems in science. Current AI systems that ...
Researchers have released Agent Lightning v1.0, a lightweight framework for training agents in Reinforcement Learning (RL) environments. The framework...