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multimodal language models

topic2 events
papersSEP 11 04:00 UTC

arXiv paper proposes brain-network priors for multimodal language models

A preprint introduces the "Platonic brain bridge hypothesis," arguing that large models handling video, audio and text together tend to converge on representations resembling those found in the human brain, with the relationship working in both directions. The authors suggest that brain-like alignment could shift from being only a way to measure models toward an actual design principle for building them. The revised version mentions the hypothesis as an architectural prior, while the earlier cross-listed version frames it around so-called omni models.

research/multimodal/neuroscience/arxiv
papersSEP 10 04:00 UTC

SEA-SpeechBench: New benchmark for speech understanding across Southeast Asian languages

Researchers have introduced SEA-SpeechBench, a large-scale multitask benchmark for evaluating how well speech and multimodal language models handle Southeast Asian languages. The paper argues that existing evaluation frameworks for audio-capable models focus heavily on English, leaving the region's languages poorly covered. The benchmark aims to enable broader assessment of speech understanding performance across the area's many languages.

benchmarks/speech/multilingual/southeast-asia