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[2402.05829] Limitations of Agents Simulated by Predictive Models

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By Chan Bae, Victoria Krakovna, Jacek Karwowski, Andis Draguns
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2401.17692] Mitigating the Influence of Distractor Tasks in LMs with Prior-Aware Decoding

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By Andis Draguns
| arxiv.org
[Submitted on 31 Jan 2024 ( v1 ), last revised 10 Sep 2024 (this version, v2)] Title:Mitigating the Influence of Distractor Tasks in LMs with Prior-Aware Decoding View a PDF of the paper titled Mitigating the Influence of Distractor Tasks in LMs with Prior-Aware Decoding, by Raymond Douglas and 2 other authors View PDF HTML (experimental) Abstract:The broad capabilities of Language Models (LMs) can be limited by their sensitivity to distractor tasks: LMs can infer secondary tasks from the...
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