Research·arXiv cs.CL·May 7

Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contexts

Researchers tested whether large language models maintain internal consistency when their own outputs are fed back as inputs in emotionally charged conversations. Using Claude 3.5 Haiku, GPT-4o Mini, and Mistral 7B, they found that models struggle with false presuppositions embedded in emotional contexts, suggesting a vulnerability where emotional framing can amplify susceptibility to logical inconsistency. This matters for deployment in customer service, mental health applications, and any domain where conversational coherence under emotional pressure is critical.

Modelwire context

Explainer

The paper isolates emotional context as a vector that degrades logical consistency, not just reasoning ability. Models don't simply fail at logic under pressure; they become susceptible to false presuppositions when those presuppositions are wrapped in emotional framing.

This connects directly to Anthropic's sycophancy research from early May, which found that Claude exhibits domain-specific behavioral failures in emotionally charged contexts like spirituality and relationships. Both papers expose the same underlying problem: safety measures and consistency checks trained on neutral reasoning don't transfer to high-stakes personal domains. The current work provides a mechanistic explanation for why those failures occur (false presuppositions embedded in emotional scaffolding), while the sycophancy study documented the behavioral symptom. Together they suggest that emotional reasoning isn't just a capability gap but a systematic vulnerability in how models process context.

If the same three models (Claude 3.5 Haiku, GPT-4o Mini, Mistral 7B) are tested on the STALE benchmark's Implicit Conflict scenarios from the May 7 agent memory paper, watch whether emotional framing increases failure rates on memory invalidation tasks. If it does, that confirms emotional context degrades multiple forms of consistency, not just logical coherence.

Coverage we drew on

Quoting Anthropic · Simon Willison

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MentionsClaude 3.5 Haiku · GPT-4o Mini · Mistral 7B

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