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cs.LG2024★ 1 cited
Synthetic continued pretraining
Zitong Yang, Neil Band, Shuangping Li +2
Pretraining on large-scale, unstructured internet text enables language models to acquire a significant amount of world knowledge. However, this knowledge acquisition is data-ineff…
cs.LG2024
Linguistic Calibration of Long-Form Generations
Neil Band, Xuechen Li, Tengyu Ma +1
Language models (LMs) may lead their users to make suboptimal downstream decisions when they confidently hallucinate. This issue can be mitigated by having the LM verbally convey t…
cs.LG2024
Language Models with Conformal Factuality Guarantees
Christopher Mohri, Tatsunori Hashimoto
Guaranteeing the correctness and factuality of language model (LM) outputs is a major open problem. In this work, we propose conformal factuality, a framework that can ensure high…