FIRM-Video: Check Before You Score for Reliable Text-to-Video Reward Modeling Paper • 2608.21839 • Published Aug 22 • 4
Video-IFBench: Evaluating Instruction Following of Multimodal LLMs in Video Understanding Scenarios Paper • 2608.25529 • Published Aug 26 • 17
EvaOmni: An Evidence-Grounded Benchmark for Audio-Visual Reasoning Paper • 2610.28444 • Published 13 days ago • 28
Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities Paper • 2610.39301 • Published 4 days ago • 14
Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities Paper • 2610.39301 • Published 4 days ago • 14
Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities Paper • 2610.39301 • Published 4 days ago • 14
Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding Paper • 2601.20430 • Published Jan 28 • 18
Running on Zero Agents 3 Youtu-Parsing-Omni 📑 3 Parse documents, charts, images, audio and video to JSON
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models Paper • 2306.13394 • Published Jun 23, 2023
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes Paper • 2310.09761 • Published Oct 15, 2023 • 1
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Paper • 2212.00465 • Published Dec 1, 2022
T2Vid: Translating Long Text into Multi-Image is the Catalyst for Video-LLMs Paper • 2411.19951 • Published Nov 29, 2024
Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification Paper • 2412.00876 • Published Dec 1, 2024
FlashSloth: Lightning Multimodal Large Language Models via Embedded Visual Compression Paper • 2412.04317 • Published Dec 5, 2024 • 1