Reducing Hallucinated Transcripts in Whisper via Hallucination Space Projection

arXiv:2603.22303v1 Announce Type: cross Abstract: Hallucinations in large language models (LLMs) remain a central obstacle to trustworthy deployment, motivating detectors that are

arXiv:2604.08591v1 Announce Type: cross Abstract: Hallucinations in large ASR models present a critical safety risk. In this work, we propose the \textit{Spectral Sensitivity

<h2> Whisper Hallucination on Silence: Why Your Transcript Loops the Same Phrase </h2> <h3> The Problem </h3> <p>Have you ever transcribed audio with Whisper (or any ASR model)

arXiv:2604.15400v1 Announce Type: cross Abstract: We present causal evidence that hallucination in autoregressive language models is an early trajectory commitment governed by