DVBench: Benchmarking MLLMs for Understanding Dynamic Charts and Narratives in Data Videos

arXiv:2608.29711 · cs.CL · Submitted 2026-08-30 · Read on arXiv

cs.CL

Submitted: 2026-08-30

Updated: 2026-08-30

Project page: https://bomiaowang.github.io/DVBench

Terminology

• Benchmark — 48× in this paper · explained in 2 episodes
• Alignment — 20× in this paper · explained in 1 episode
• Accuracy — 16× in this paper · explained in 1 episode
• Grounding — 15× in this paper · explained in 3 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Aggregation — 9× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 7× in this paper
• Evaluation Dimensions — 6× in this paper · explained in 3 episodes
• Benchmarking — 5× in this paper · explained in 3 episodes
• Hallucination — 5× in this paper · explained in 3 episodes
• Core — 4× in this paper · explained in 2 episodes
• Visual Grounding — 4× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Exact Match — 2× in this paper
• Semantic Understanding — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 1× in this paper
• Clustering — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• Qwen3-VL Technical Report
• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
• SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models
• A Survey on Benchmarks of Multimodal Large Language Models
• IF-VidCap: Can Video Caption Models Follow Instructions?
• CAPability: A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness
• Gemma 4 Technical Report
• Kimi K2.5: Visual Agentic Intelligence
• ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models
• LLaVA-Video: Video Instruction Tuning With Synthetic Data

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering