Papers

Filtered to video generation models · clear filter

Browse by term

continual learning 91reinforcement learning 43vision-language models 18benchmarking 12benchmarks 11robotics 11large language models 10language models 9world models 9video generation 6generative models 5multimodal models 5natural language processing 5recursive self-improvement 5video world models 5agents 4dialogue systems 4diffusion models 4foundation models 4multimodal large language models 4on-policy distillation 4reasoning 4self-distillation 4self-supervised learning 4conversational AI 3evaluation benchmarks 3human-computer interaction 3LLMs 3multi-agent systems 3policy optimization 3

Matching papers

VGI-Bench: Probing Visual Intelligence in Video Generation Models

171 upvotes · 26 AUG 2026 · Xuan He, Cong Wei, Yuhao Cheng et al.

This paper introduces VGI-bench, a new benchmark for evaluating video generation models' visual reasoning capabilities, and finds that current models can solve some visually grounded tasks but still struggle with reliability. Practitioners may care about developing more reliable video generation models that can perform better on this benchmark.