What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations
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Abstract (arXiv)
Transforming recorded videos into concise and accurate textual summaries is a growing challenge in multimodal learning. This paper introduces VISTA, a dataset specifically designed for video-to-text summarization in scientific domains. VISTA contains 18,599 recorded AI conference presentations paired with their corresponding paper abstracts. We benchmark the performance of state-of-the-art large models and apply a plan-based framework to better capture the structured nature of abstracts. Both human and automated evaluations confirm that explicit planning enhances summary quality and factual consistency. However, a considerable gap remains between models and human performance, highlighting the challenges of our dataset. This study aims to pave the way for future research on scientific video-to-text summarization.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 61 of its 97 references that are in the map. First posted on arXiv 12 Feb 2025.
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61 of 97 references.
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Citing papers per year: 2025: 4; 2026: 7.
11 papers.
- 2025Summarizing Speech: A Comprehensive Surveycited by 5
- 2025Explanatory Summarization with Discourse-Driven Planningcited by 4
- 2026Cut to the Chase: Training-free Multimodal Summarization via Chain-of-Eventscited by 3
- 2026Disco-RAG: Discourse-Aware Retrieval-Augmented Generationcited by 1
- 2025Summarization of Multimodal Presentations with Vision-Language Models: Study of the Effect of Modalities and Structurecited by 0
- 2025Minimal Clips, Maximum Salience: Long Video Summarization via Key Moment Extractioncited by 0
- 2026LVSum: A Benchmark for Timestamp-Aware Long Video Summarizationcited by 0
- 2026Summarization is Not Dead Yetcited by 0
- 2026Helping Figures Tell their Story! Paper-Grounded Video Generation Explaining Complex Scientific Figurescited by 0
- 2026A Good Talk Does not Look Like a Summary, It Teaches You! Measuring Takeaways from Paper-to-Video Talkscited by 0
- 2026KnowVis: Knowledge-Centric Visual Summarization for Video Lecturescited by 0
- 2026KnowVis: Knowledge-Centric Visual Summarization for Video Lectures3 Sep 2026
- 2026A Good Talk Does not Look Like a Summary, It Teaches You! Measuring Takeaways from Paper-to-Video Talks26 Jun 2026
- 2026Helping Figures Tell their Story! Paper-Grounded Video Generation Explaining Complex Scientific Figures10 Jun 2026
- 2026Summarization is Not Dead Yet6 Jun 2026
- 2026LVSum: A Benchmark for Timestamp-Aware Long Video Summarization11 Apr 2026
- 2026Cut to the Chase: Training-free Multimodal Summarization via Chain-of-Events6 Mar 2026
- 2026Disco-RAG: Discourse-Aware Retrieval-Augmented Generation7 Jan 2026
- 2025Minimal Clips, Maximum Salience: Long Video Summarization via Key Moment Extraction12 Dec 2025
- 2025Explanatory Summarization with Discourse-Driven Planning27 Apr 2025
- 2025Summarization of Multimodal Presentations with Vision-Language Models: Study of the Effect of Modalities and Structure14 Apr 2025
- 2025Summarizing Speech: A Comprehensive Survey10 Apr 2025