mlsanityData to 7 Oct 2026

Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7

arXiv 1806.00525 ↗First posted 1 Jun 2018cs.CL cs.CVcited by 8

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Abstract (arXiv)

Scene-aware dialog systems will be able to have conversations with users about the objects and events around them. Progress on such systems can be made by integrating state-of-the-art technologies from multiple research areas including end-to-end dialog systems visual dialog, and video description. We introduce the Audio Visual Scene Aware Dialog (AVSD) challenge and dataset. In this challenge, which is one track of the 7th Dialog System Technology Challenges (DSTC7) workshop1, the task is to build a system that generates responses in a dialog about an input video

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jun 2018.

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Citing papers per year: 2021: 2; 2022: 2; 2023: 0; 2024: 1; 2025: 3.

8 papers.

  1. 2021VX2TEXT: End-to-End Learning of Video-Based Text Generation From Multimodal Inputscited by 42
  2. 2024From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalitiescited by 22
  3. 2022MVP: Multi-task Supervised Pre-training for Natural Language Generationcited by 16
  4. 2021Recent Advances in Video Question Answering: A Review of Datasets and Methodscited by 12
  5. 2025Can Vision-Language Models Answer Face to Face Questions in the Real-World?cited by 7
  6. 2025Music Audio-Visual Question Answering Requires Specialized Multimodal Designscited by 4
  7. 2022From Knowledge Augmentation to Multi-tasking: Towards Human-like Dialogue Systemscited by 0
  8. 2025POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiencycited by 0