EIBench: A Simulator-Based Benchmark and Turn-Credit RL for Emotion Management

arXiv:2606.15532v1 Announce Type: new Abstract: Emotional intelligence (EI) in Large Language Models (LLMs) is often evaluated through static understanding tasks or single-response dialogue generation. However, emotion management is interactive: a good model should not only recognize a user's emotion, but also improve the user's emotional and relational state over several turns. We introduce EIBench, a simulator-based benchmark for interactive emotion management. EIBench contains 2,222 scenarios, with 2,009 for training and 213 for held-out testing. The scenarios are organized by a 2x2 taxonom

Source: arXiv cs.CL — read the full report at the original publisher.

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