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cs.LG2026
Constrained latent state modeling: A unifying perspective on representation learning under competing constraints
Gwenolé Quellec
Learning latent representations from temporal, multimodal, and partially observed data requires specifying what information a latent state should retain, discard, and organize. Exi…
cs.CL2026
Iterative LLM-based improvement for French Clinical Interview Transcription and Speaker Diarization
Ambre Marie, Thomas Bertin, Guillaume Dardenne +1
Automatic speech recognition for French medical conversations remains challenging, with word error rates often exceeding 30% in spontaneous clinical speech. This study proposes a m…