ExpRL: Exploratory RL for LLM Mid-Training
Sparse reward reinforcement learning (RL) has become a standard tool for improving LLM reasoning, but its success dep...
每天自动聚合 AI 领域最新动态
Sparse reward reinforcement learning (RL) has become a standard tool for improving LLM reasoning, but its success dep...
Re-rendering an existing video from a novel camera viewpoint requires the output to follow the prescribed camera traj...
Progress in AI has largely been driven by methods that assume less. As compute and data increase, approaches with wea...
Despite considerable progress in the development of machine-text detectors, the ease with which machine-text can be m...
TradingAgents: Multi-Agents LLM Financial Trading Framework(⭐86448)
Egocentric human video offers a scalable alternative to robot data for pretraining, yet models pretrained on such vid...
Multimodal Foundation Models (MFMs) have made substantial progress, yet remain fragile in spatial reasoning over the ...
Vision-Language-Action (VLA) models that couple pretrained Vision-Language Models (VLMs) with continuous action exper...
As AI systems built from multiple language-model agents become more common, they are increasingly used to make decisi...
Unstructured pruning produces sparse weight tensors, but the standard implementation keeps tensor shapes unchanged so...
Online group chats are social spaces with local conversational norms that are rarely stated explicitly. The ability a...
Embodied world models have emerged as a pivotal paradigm for visual robotic decision-making and interactive environme...