CRAFT: Critic-Refined Adaptive Key-Frame Targeting for Multimodal Video Question Answering
Grounded multi-video question answering over real-world news events requires systems to surface query-relevant evidence across heterogeneous video archives while attributing every claim to its supporting source. We introduce CRAFT (Critic-Refined Adaptive Key-Frame Targeting), a query-conditioned pipeline that combines dynamic keyframe selection, per-video ASR with multilingual fallback, and a hybrid critic loop to iteratively verify and repair claims before consolidation. The pipeline integrates UNLI temporal entailment, DeBERTa-v3 cross-claim screening, and a Llama-3.2-3B adjudicator, with a final citation-merging stage that emits each fact once with all supporting source identifiers. O...
| Authors | Mahesh Bhosale, Abdul Wasi, Vishvesh Trivedi et al. |
|---|---|
| Primary category | cs.CV |
| Published | 18 May 2026 |
| Last updated at source | 18 May 2026 |
Connected in the knowledge graph
- mbhosale/CRAFT-MAGMaRDataset · cited by
- mbhosale/CRAFT-WikiVideoDataset · cited by
Models and datasets referencing this paper
- mbhosale/CRAFT-WikiVideoDataset
- mbhosale/CRAFT-MAGMaRDataset
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