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...
Researchers propose a new approach to training large language models called Spaced Repetition Training (SRT). This method schedules the review of hist...
Researchers propose a new approach to safe decision-making in uncertain environments called RATTL (Risk-Adversarial Total-Reward Learning). The method...
Researchers have developed a framework called TRUSS for generating software agent skills that are both functionally effective and safety reliable. The...
Researchers have developed MoNe, a lightweight neural memory system that can handle long context inference tasks without requiring retraining of the u...
Researchers have developed a method to accurately count crowds using drones without labeled training data. This is crucial for large events like the F...
Researchers have developed a precise correspondence between two ways of describing the do-operator in acyclic structural causal models. The do-operato...
Researchers have developed a new method to read out the internal reasoning states of mixture-of-experts (MoE) models. This allows for the extraction o...