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Posts tagged #videoqa

A.I.R. Method Boosts Adaptive Frame Selection for Video Question Answering

A.I.R. Method Boosts Adaptive Frame Selection for Video Question Answering

A.I.R. is a training‑free iterative frame‑selection method for VideoQA that outperforms CLIP‑based baselines while cutting compute, and was submitted in October 2025. Read more: getnews.me/a-i-r-method-boosts-adap... #videoqa #frameselection

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Narrative and Grounded Supervision Boosts VideoQA Accuracy

Narrative and Grounded Supervision Boosts VideoQA Accuracy

A new training framework using narrative‑level and grounded supervision lifts VideoQA performance, with a 3B model reaching 72.5% accuracy on STAR and a 7B model hitting 80.8% on NExT‑QA. getnews.me/narrative-and-grounded-s... #videoqa #multimodalai #nextqa

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VidBridge-R1 Unites Video QA and Captioning with New Proxy Tasks

VidBridge-R1 Unites Video QA and Captioning with New Proxy Tasks

VidBridge‑R1 unites video QA and captioning with two proxy tasks—DarkEventInfer (infers masked events) and MixVidQA (isolates clip)—boosting benchmark performance. Read more: getnews.me/vidbridge-r1-unites-vide... #vidbridger1 #videoqa #captioning

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