iLearn-Lab/ACL25-AdaReTaKe

Official implementation of paper AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding

1 file for Codex and OpenCode: ACL25-AdaReTaKe AGENTS.md — 2,221 tokens loaded in every session.

Open on GitHub

91Stars on the repository

1Files it configures its agents with

2,221Tokens loaded in every session

2Agents configured

Instructions

ACL25-AdaReTaKe AGENTS.md AGENTS.md A 2,221 tok

These files are iLearn-Lab/ACL25-AdaReTaKe's own configuration — they tell Codex and OpenCode how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.