Papers2

#context isolation

WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning

WideSeek-R1 teaches a small 4B-parameter language model to act like a well-run team: one leader plans, many helpers work in parallel, and everyone learns together with reinforcement learning.

#width scaling#multi-agent reinforcement learning#orchestration

Learning from Next-Frame Prediction: Autoregressive Video Modeling Encodes Effective Representations

Beginner

Jinghan Li, Yang Jin et al.Dec 24arXiv

This paper introduces NExT-Vid, a way to teach a video model by asking it to guess the next frame of a video while parts of the past are hidden.

#autoregressive video pretraining#masked next-frame prediction#context isolation