Papers by Doheon Han

1 papers
Continuous Context Sampling Allows Extending Diversity Boundaries of Large Language Models (2026.acl-srw)

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Challenge: Large language models exhibit a persistent limitation: repeated generations from the same prompt tend to be semantically similar.
Approach: They propose to construct a conditioning distribution from a small set of diverse anchor generations and use it to condition an LLM's generation distribution.
Outcome: The proposed framework significantly expands the model's reachable semantic range by constructing a conditioning distribution from a small set of diverse anchor generations.

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