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Kairui Hu

2 accepted papers

2026

OpenMMReasoner: Pushing the Frontiers in Multimodal Reasoning with an Open and General Recipe

CVPR 2026

Recent advancements in reasoning language models have fueled growing interest in extending such capabilities to multimodal domains. However, despite notable progress in visual and video reasoning, the lack of transparent and reproducible data curation and training pipelines remains a major barrier t

Cited by 0SourcecodeScholar
2025

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

NAACL 2025findings

The advances of large foundation models necessitate wide-coverage, low-cost, and zero-contamination benchmarks. Despite continuous exploration of language model evaluations, comprehensive studies on the evaluation of Large Multi-modal Models (LMMs) remain limited. In this work, we introduce LMMS-EVA…