Chara Podimata
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2026
Conformal Language Modeling via Posterior Sampling
The paper proposes sampling directly from approximations of an LLM posterior, conditioned on high-scoring regions, to generate more coherent and useful text compared to existing post-hoc hallucination filtering methods.
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