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This paper proposes SENSEI, a new reinforcement learning based method that can embed human values judgements into each step of language generation. SENSEI ...
The goal of alignment is to teach the LM to learn from the value-aligned demonstrations and penal- ize the non-aligned ones, and extend this judgement ability ...
This paper proposes SENSEI, a new reinforcement learning based method that can embed human values judgements into each step of language generation. SENSEI ...
Oct 16, 2024 · Extensive experiments validate NEAT's effectiveness in significantly enhancing language models' alignment with human values and preferences.
SENSEI aligns LM generation with human values by 1) learning how to distribute human rewards into each step of language generation with a Critic, and 2) guiding ...
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Aug 21, 2024 · Strong alignment requires cognitive abilities (either human-like or different from humans) such as understanding and reasoning about agents' ...
For example, what does it mean to align conversational agents with human norms or values? Which norms or values should they be aligned with? And how can this be ...
We conclude by discussing the practical implications of our proposal for the design of conversational agents that are aligned with these norms and values.
Aug 11, 2024 · Aligning large language models (LLMs) with human preferences is crucial for enhancing their utility in terms of helpfulness, truthful-.
AI researchers have been working to mold LLMs to human values and preferences. This process is called alignment.
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