March 1, 2024, 11:30 a.m. | Dhanshree Shripad Shenwai

MarkTechPost www.marktechpost.com

When an error or misunderstanding arises, modern LLMs can theoretically reflect on and refine their answers because they are interactive systems capable of multi-turn interaction with users. Previous research has demonstrated that LLMs can enhance their responses using additional conversational context, such as Chain-of-Thought reasoning. However, LLMs designed to maximize human preference can display sycophantic […]


The post SalesForce AI Research Proposed the FlipFlop Experiment as a Machine Learning Framework to Systematically Evaluate the LLM Behavior in Multi-Turn Conversations appeared …

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