kang zhu

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upvoted 3 papers about 11 hours ago

CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark

Paper • 2401.11944 • Published Jan 22 • 26

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series

Paper • 2405.19327 • Published May 29 • 45

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Paper • 2409.02813 • Published Sep 4 • 28

upvoted 2 papers about 12 hours ago

MMRA: A Benchmark for Multi-granularity Multi-image Relational Association

Paper • 2407.17379 • Published Jul 24 • 1

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment

Paper • 2410.13785 • Published 1 day ago • 9

upvoted a paper 18 days ago

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published 22 days ago • 47

upvoted a paper 23 days ago

OmniBench: Towards The Future of Universal Omni-Language Models

Paper • 2409.15272 • Published 25 days ago • 25

upvoted a paper about 2 months ago

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17 • 51

upvoted 2 papers 4 months ago

LongIns: A Challenging Long-context Instruction-based Exam for LLMs

Paper • 2406.17588 • Published Jun 25 • 20

McEval: Massively Multilingual Code Evaluation

Paper • 2406.07436 • Published Jun 11 • 39