Efficient Alignment of Large Language Models Using Token-Level Reward Guidance with GenARM

Large language models (LLMs) must align with human preferences like helpfulness and harmlessness, but traditional alignment methods require costly retraining and struggle with dynamic or conflicting preferences. Test-time alignment approaches using reward models (RMs) avoid retraining but face inefficiencies due to reliance on trajectory-level rewards, which evaluate full responses rather than guiding token-by-token generation.   Existing […]

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Source: https://www.marktechpost.com/2025/02/10/efficient-alignment-of-large-language-models-using-token-level-reward-guidance-with-genarm/

Keywords: alignment, models, using, reward, large