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May 26, 2023 · This work presents a novel training paradigm that permits LMs to learn from simulated social interactions.
Social alignment in AI systems aims to ensure that these models behave according to established societal values. However, unlike humans, who derive ...
Social alignment in AI systems aims to ensure that these models behave according to established societal values, but unlike humans, who derive consensus on ...
This work presents a novel training paradigm that permits LMs to learn from simulated social interactions.
This work presents a novel training paradigm that permits LMs to learn from simulated social interactions, and is considerably more scalable and efficient, ...
May 26, 2023 · This work presents a novel training paradigm that permits LMs to learn from simulated social interactions. In comparison to existing ...
Aug 10, 2023 · 여러 llm agent들을 상호작용할 수 있게 해서 작은 사회를 만들고, llm이 생성한 응답을 다른 llm agent가 feedback하게 해서 그 결과로 align을 한다는 ...
Jan 2, 2024 · Training Socially Aligned Language Models on Simulated Social Interactions. Ruibo Liu, Ruixin Yang, Chenyan Jia, Ge Zhang, Denny Zhou, Andrew ...
Missing: Human Society.
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This is the official repo for the Stable Alignment project. We aim to provide a RLHF alternative which is superior in alignment performance.