SOURCE-LINKED INTELLIGENCE

Exposing Weaknesses in Emotion Recognition in Conversations

arXiv · AI, language, vision and robotics · article · Sep 5, 2026 · UTC

Emotion Recognition in Conversations (ERC) aims to identify speakers' emotions in multi-turn dialogue. Accurate emotion recognition can support a wide range of applications, including empathetic conversational agents, mental health support, and educational technologies. While many recent approaches rely on task-specific fine-tuning, such models may exploit dataset-specific cues. A central yet rarely questioned assumption in ERC is that each utterance can be assigned a single unambiguous emotion label. To investigate this assumption, we study ERC using Large Language Models (LLMs) in a zero-sho

Read original source ↗ Open in workspace

recordType

paper

region

Global