mlsanityData to 7 Oct 2026

Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence

arXiv 2402.10073 ↗First posted 15 Feb 2024cs.CLcited by 11

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Abstract (arXiv)

Emotional Intelligence (EI), consisting of emotion perception, emotion cognition and emotion expression, plays the critical roles in improving user interaction experience for the current large language model (LLM) based conversational general AI assistants. Previous works mainly focus on raising the emotion perception ability of them via naive fine-tuning on EI-related classification or regression tasks. However, this leads to the incomplete enhancement of EI and catastrophic forgetting of the general intelligence (GI). To this end, we first introduce textscEiBench, a large-scale collection of EI-related tasks in the text-to-text formation with task instructions that covers all three aspects of EI, which lays a solid foundation for the comprehensive EI enhancement of LLMs. Then a novel underlineModular underlineEmotional underlineIntelligence enhancement method (MoEI), consisting of Modular Parameter Expansion and intra-inter modulation, is proposed to comprehensively enhance the EI of LLMs without compromise their GI. Extensive experiments on two representative LLM-based assistants, Flan-T5 and LLaMA-2-Chat, demonstrate the effectiveness of MoEI to improving EI while maintain GI.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 59 of its 118 references that are in the map. First posted on arXiv 15 Feb 2024.

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59 of 118 references.

References · 59

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50 most cited of 59 All 59 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 8; 2026: 1.

11 papers.

  1. 2025EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Modelscited by 32
  2. 2024Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspectivecited by 24
  3. 2025Continual Multimodal Contrastive Learningcited by 19
  4. 2024A Survey on Human-Centric LLMscited by 13
  5. 2025AI with Emotions: Exploring Emotional Expressions in Large Language Modelscited by 10
  6. 2025Emotion-o1: Adaptive Long Reasoning for Emotion Understanding in LLMscited by 5
  7. 2025PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactionscited by 5
  8. 2025E3RG: Building Explicit Emotion-driven Empathetic Response Generation System with Multimodal Large Language Modelcited by 2
  9. 2025CHEER-Ekman: Fine-grained Embodied Emotion Classificationcited by 1
  10. 2025Enhancing Collective Intelligence in Large Language Models Through Emotional Integrationcited by 0
  11. 2026Chiaroscuro for Emotions: A Contrastive Emotion Benchmark Grounded in Appraisal Theorycited by 0