video question answering

MovieCORE: COgnitive REasoning in Movies EMNLP 2025 Object-centric Video Question Answering with Visual Grounding and Referring ICCV 2025 Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos CVPR 2025 OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? CVPR 2025 Perceive Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries WACV 2025 ReWind: Understanding Long Videos with Instructed Learnable Memory CVPR 2025 RoadSocial: A Diverse VideoQA Dataset and Benchmark for Road Event Understanding from Social Video Narratives CVPR 2025 SEAL: Semantic Attention Learning for Long Video Representation CVPR 2025 Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering EMNLP 2025 Streaming Video Question-Answering with In-context Video KV-Cache Retrieval ICLR 2025 TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision ICCV 2025 Towards Multimodal Question Answering in Educational Domain IJCNLP 2025 Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal Clues AAAI 2025 TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes ICML 2025 VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos ACL 2025 VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection CVPR 2025 VideoLLaMB: Long Streaming Video Understanding with Recurrent Memory Bridges ICCV 2025 Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models CVPR 2025 VideoQA-TA: Temporal-Aware Multi-Modal Video Question Answering COLING 2025 VITED: Video Temporal Evidence Distillation CVPR 2025 VoCo-LLaMA: Towards Vision Compression with Large Language Models CVPR 2025 VQAGuider: Guiding Multimodal Large Language Models to Answer Complex Video Questions ACL 2025 ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition NeurIPS 2024 AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding EMNLP 2024 Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-Answering CVPR 2024