Latent Distance Guided Alignment Training for Large Language Models
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
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https://service.tib.eu/ldmservice/dataset/0e382dfc-18fd-4624-9e46-6b85538472a8
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资源简介：
Ensuring alignment with human preferences is a crucial characteristic of large language models (LLMs). Presently, the primary alignment methods, RLHF and DPO, require extensive human annotation, which is expensive despite their efficacy.
提供机构：
TIB
创建时间：
2024-12-16
