VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?
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2505.23359
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Published
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38
Haoning Wu, Teo PRO
teowu
AI & ML interests
Lead of Q-Future: https://github.com/Q-Future. I love MLLMs/LMMs/LVLMs/(any names you call them). Part of two great MoE VLMs as core contributors: Kimi-VL & Aria. Living and Cooking in Singapore Now.
Recent Activity
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about 2 months ago
moonshotai/Kimi-K2-Thinking
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moonshotai/Kimi-Linear-48B-A3B-Base
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moonshotai/Kimi-Linear-48B-A3B-Instruct
Organizations
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7 months ago
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papers
9 months ago
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4
papers
about 1 year ago
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
Paper
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2405.19298
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Published
LIME: Less Is More for MLLM Evaluation
Paper
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2409.06851
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Published
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2
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
Paper
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2411.13281
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Published
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20
Aria: An Open Multimodal Native Mixture-of-Experts Model
Paper
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2410.05993
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Published
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111
authored
a
paper
over 1 year ago
authored
a
paper
almost 2 years ago
authored
4
papers
about 2 years ago
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
Paper
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2312.17090
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Published
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4
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
Paper
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2311.06783
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Published
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28
Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
Paper
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2309.14181
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Published
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2
FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling
Paper
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2207.02595
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Published