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Lost in conversation: How multi-turn interactions degrade LLM performance

1 Pith paper cite this work. Polarity classification is still indexing.

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cs.AI 1

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2026 1

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AMEL: Accumulated Message Effects on LLM Judgments

cs.AI · 2026-05-21 · unverdicted · novelty 6.0 · 2 refs

LLMs exhibit an accumulated message effect where conversation history polarity biases subsequent judgments, stronger for high-entropy items, independent of context length, and with a negativity bias.

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