Grounded Video Question Answering

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (7 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning
  17 Mar 2025 1 repository listed Syntology ran 3 of 4 samples · 1 unverified
  Videos, with their unique temporal dimension, demand precise grounded understanding, where answers are directly linked to visual, interpretable evidence.
• VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format
  27 Nov 2024 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  We construct MMDuetIT, a video-text training dataset designed to adapt VideoLLMs to video-text duet interaction format.
• Can I Trust Your Answer? Visually Grounded Video Question Answering
  4 Sep 2023 1 repository listed Syntology ran 5 of 7 samples · 2 unverified
  We study visually grounded VideoQA in response to the emerging trends of utilizing pretraining techniques for video-language understanding.
• Perception Test: A Diagnostic Benchmark for Multimodal Video Models
  23 May 2023 1 repository listed
  We propose a novel multimodal video benchmark - the Perception Test - to evaluate the perception and reasoning skills of pre-trained multimodal models (e.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.