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Model Training

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2026-09-07

Technology

  • Researchers train Iris search agents using web hyperlink structures: Researchers have introduced Iris-mini and Iris-pro, two search agents trained at the 35B-A3B and 397B-A17B scales. The models were trained using a data pipeline that reverse-constructs multi-hop question chains from the hyperlink structure of a web corpus.

    AI ModelsarXiv

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  • New inference-time method reduces hallucinations in OpenAI's Whisper: Researchers have developed a training-free, inference-time method to reduce hallucinated transcripts in OpenAI's Whisper model. The approach estimates a compact hallucination-associated subspace from non-speech calibration data and projects decoder hidden states away from it.

    AI ResearcharXiv

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  • More capable LLMs can increase systemic risk in financial markets: A study shows that improving individual large language model capability can degrade system-level outcomes rather than improve them. Researchers hypothesize that shared training and architectures cause more capable LLMs to behave similarly, creating correlated actions that do not diversify away.

    ResearcharXiv

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