MMBench-Live introduces an automated multi-agent pipeline and distribution-consistent update strategy to create a continuously evolving multimodal benchmark with 5.9K new instances at low cost.
mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration , year=
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HONES ranks feed-forward neurons by their causal contributions from task-relevant attention heads and uses lightweight scaling to steer performance on multiple vision-language tasks.
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MMBench-Live: A Continuously Evolving Benchmark for Multimodal Models
MMBench-Live introduces an automated multi-agent pipeline and distribution-consistent update strategy to create a continuously evolving multimodal benchmark with 5.9K new instances at low cost.
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From Heads to Neurons: Causal Attribution and Steering in Multi-Task Vision-Language Models
HONES ranks feed-forward neurons by their causal contributions from task-relevant attention heads and uses lightweight scaling to steer performance on multiple vision-language tasks.