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News/From Drift to Coherence: Stabilizing Beliefs in LLMs
arxiv
PublishedJune 19, 2026 at 4:00 AM
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From Drift to Coherence: Stabilizing Beliefs in LLMs

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arXiv:2606.17832v2 Announce Type: replace Abstract: Large language models (LLMs) are often hypothesized to perform implicit Bayesian inference, yet a key coherence condition, the martingale property of predictive beliefs, has been shown to fail in controlled synthetic in-context learning settings. W

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