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Results for “negative log-likelihood”

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LLMsSep 9, 20261 min read

AlignDiff: Filtering Preference Data with Model Signals

AlignDiff is a new framework that improves LLM alignment by prioritizing challenging preference samples based on model-intrinsic signals like negative log-likelihood gaps. Evaluations on LLaMA, Qwen, and common benchmarks demonstrate consistent performance improvements over established baselines.

From arXiv cs.CL

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