CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark Paper • 2401.11944 • Published Jan 22 • 27
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series Paper • 2405.19327 • Published May 29 • 46
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark Paper • 2409.02813 • Published Sep 4 • 28
MMRA: A Benchmark for Multi-granularity Multi-image Relational Association Paper • 2407.17379 • Published Jul 24 • 2
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment Paper • 2410.13785 • Published Oct 17 • 18
OmniBench: Towards The Future of Universal Omni-Language Models Paper • 2409.15272 • Published Sep 23 • 25
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering Paper • 2408.09174 • Published Aug 17 • 51
LongIns: A Challenging Long-context Instruction-based Exam for LLMs Paper • 2406.17588 • Published Jun 25 • 20