MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
Paper
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2407.04842
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Published
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56
Multimodal
Note Base for discussion about NSFW and Biases in AI
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation
Paper • 2407.00468 • Published • 36Note Critique on why some benchmarks are biased when comparing LLM and MLLM. New benchmark fixing those errors
Qwen2 Technical Report
Paper • 2407.10671 • Published • 167Note New SOTA - better than llama!