init

Author: nanamma

README.md

@@ -0,0 +1,26 @@
+<div align="center">
+
+<h2>
+    <a href="https://github.com/OpenGVLab/RIVER">[ICLR 2026] RIVER: A Real-Time Interaction Benchmark for Video LLMs</a>
+</h2>
+
+Yansong Shi, Qingsong Zhao, Tianxiang Jiang, Xiangyu Zeng, Yi Wang, Limin Wang
+
+<img src="assets/RIVER.png" width="80" alt="RIVER logo">
+
+</div>
+
+
+## Introduction
+This project introduces **RIVER Bench**, the first benchmark designed to evaluate the real-time interactive capabilities of Video Large Language Models through streaming video perception, featuring novel tasks for memory, live-perception, and proactive response.
+![RIVER](assets/river.pdf)
+
+## Dataset Preparation
+|Dataset       |URL|
+|--------------|---|
+|LongVideoBench|https://github.com/longvideobench/LongVideoBench|
+|Vript-RR      |https://github.com/mutonix/Vript|
+|LVBench       |https://github.com/zai-org/LVBench|
+|Ego4D         |https://github.com/facebookresearch/Ego4d|
+|QVHighlights  |https://github.com/jayleicn/moment_detr|
+