<ul data-eligibleForWebStory="false"><li>Large language models see a 39% accuracy drop in multi-turn conversations.</li><li>The drop is due to prompt contradictions, artificial behavior, and context handling.</li><li>Simple fixes can recover lost accuracy without fine-tuning the model.</li><li>In-depth analysis reveals flaws in prompt design and simulation environment.</li><li>Improvements in prompt clarity and context management enhance model performance.</li></ul>

Are Large Language Models Really “Lost” in Multi-Turn Conversations?

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