Cover Image

SCBench: A Sports Commentary Benchmark for Video LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ge, Kuangzhi, Chen, Lingjun, Zhang, Kevin, Luo, Yulin, Shi, Tianyu, Fan, Liaoyuan, Li, Xiang, Wang, Guanqun, Zhang, Shanghang
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can World Models Benefit VLMs for World Dynamics?
by: Zhang, Kevin, et al.
Published: (2025)

PhysicsMind: Sim and Real Mechanics Benchmarking for Physical Reasoning and Prediction in Foundational VLMs and World Models
by: Mak, Chak-Wing, et al.
Published: (2026)

Wow, wo, val! A Comprehensive Embodied World Model Evaluation Turing Test
by: Fan, Chun-Kai, et al.
Published: (2026)

WeaveTime: Stream from Earlier Frames into Emergent Memory in VideoLLMs
by: Zhang, Yulin, et al.
Published: (2026)

INFACT: A Diagnostic Benchmark for Induced Faithfulness and Factuality Hallucinations in Video-LLMs
by: Yang, Junqi, et al.
Published: (2026)

MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding
by: Kou, Qian, et al.
Published: (2026)

MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision Perception
by: Wang, Guanqun, et al.
Published: (2024)

DeepSport: A Multimodal Large Language Model for Comprehensive Sports Video Reasoning via Agentic Reinforcement Learning
by: Zou, Junbo, et al.
Published: (2025)

A Physical Coherence Benchmark for Evaluating Video Generation Models via Optical Flow-guided Frame Prediction
by: Chen, Yongfan, et al.
Published: (2025)

AirCopBench: A Benchmark for Multi-drone Collaborative Embodied Perception and Reasoning
by: Zha, Jirong, et al.
Published: (2025)

MC-LLaVA: Multi-Concept Personalized Vision-Language Model
by: An, Ruichuan, et al.
Published: (2025)

TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs
by: Li, Baiqi, et al.
Published: (2026)

Thinking Ahead: Foresight Intelligence in MLLMs and World Models
by: Gong, Zhantao, et al.
Published: (2025)

Distorted or Fabricated? A Survey on Hallucination in Video LLMs
by: Huang, Yiyang, et al.
Published: (2026)

MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues
by: Pan, Yaning, et al.
Published: (2025)

MC-LLaVA: Multi-Concept Personalized Vision-Language Model
by: An, Ruichuan, et al.
Published: (2024)

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation
by: Bai, Chengyu, et al.
Published: (2025)

VISTA: Mitigating Semantic Inertia in Video-LLMs via Training-Free Dynamic Chain-of-Thought Routing
by: Jin, Hongbo, et al.
Published: (2025)

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
by: Zhang, Rongyu, et al.
Published: (2024)

HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video Understanding
by: Zou, Heqing, et al.
Published: (2025)

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs
by: Zhou, Wenrui, et al.
Published: (2025)

High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior
by: Huang, Nan, et al.
Published: (2023)

SportsGPT: An LLM-driven Framework for Interpretable Sports Motion Assessment and Training Guidance
by: Tian, Wenbo, et al.
Published: (2025)

VideoVista: A Versatile Benchmark for Video Understanding and Reasoning
by: Li, Yunxin, et al.
Published: (2024)

Video-Bench: Human-Aligned Video Generation Benchmark
by: Han, Hui, et al.
Published: (2025)

VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding
by: Lin, Kuanwei, et al.
Published: (2026)

PEMF-VTO: Point-Enhanced Video Virtual Try-on via Mask-free Paradigm
by: Chang, Tianyu, et al.
Published: (2024)

HumanVideo-MME: Benchmarking MLLMs for Human-Centric Video Understanding
by: Cai, Yuxuan, et al.
Published: (2025)

SportR: A Benchmark for Multimodal Large Language Model Reasoning in Sports
by: Xia, Haotian, et al.
Published: (2025)

VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models
by: Li, Chenglin, et al.
Published: (2024)

Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
by: Du, Hang, et al.
Published: (2024)

VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding
by: Chen, Houlun, et al.
Published: (2024)

H2VU-Benchmark: A Comprehensive Benchmark for Hierarchical Holistic Video Understanding
by: Wu, Qi, et al.
Published: (2025)

TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs
by: Zhang, Jun, et al.
Published: (2025)

SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation
by: Chen, Siqi, et al.
Published: (2025)

VideoGUI: A Benchmark for GUI Automation from Instructional Videos
by: Lin, Kevin Qinghong, et al.
Published: (2024)

VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning
by: Li, Chenglin, et al.
Published: (2026)

WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal
by: Luo, Yulin, et al.
Published: (2023)

MMG-Vid: Maximizing Marginal Gains at Segment-level and Token-level for Efficient Video LLMs
by: Ma, Junpeng, et al.
Published: (2025)

A Self-Correcting Vision-Language-Action Model for Fast and Slow System Manipulation
by: Li, Chenxuan, et al.
Published: (2024)