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Multilingual speech foundations leave massive performance on the table: specialized monolingual Whisper models beat Whisper-large-v3 across 77 of 102 languages while slashing character error rates by nearly 3x.
Larger LLMs may ignore user context more than smaller models, revealing critical insights into how linguistic framing can sway model responses.
