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LLMs Struggle in Multi-Turn Conversations by DP Noise is a document available to read on EtoBox.
What is LLMs Struggle in Multi-Turn Conversations about?
This document investigates the performance of Large Language Models (LLMs) in multi-turn conversations, revealing that they significantly underperform compared to single-turn interactions, with an average drop of 39%. The study identifies that LLMs often make premature assumptions and generate final solutions too early, leading to unreliability and a phenomenon termed
- Author
- DP Noise
- Language
- EN