MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series Paper • 2405.19327 • Published May 29, 2024 • 48
PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents Paper • 2406.13923 • Published Jun 20, 2024 • 23
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark Paper • 2409.02813 • Published Sep 4, 2024 • 29
MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks Paper • 2410.10563 • Published Oct 14, 2024 • 38
MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale Paper • 2412.05237 • Published Dec 6, 2024 • 47
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate Paper • 2501.17703 • Published about 23 hours ago • 17
CritiqueFineTuning Collection The dataset and models for CritiqueFineTuning • 3 items • Updated about 8 hours ago
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos Paper • 2501.13826 • Published 7 days ago • 21
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey Paper • 2412.18619 • Published Dec 16, 2024 • 54