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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. EiCAP: Beyond Fluency, Probing and Improving Emotional Intelligence in LLMs via Psychologically Grounded Multi-Turn Dialogue

    Researchers have developed EiCAP, a new framework to assess and enhance the emotional intelligence (EI) of large language models (LLMs). The framework includes EiCAP-Bench, a 3,174-probe evaluation suite, and EiCAP-SFT, a large corpus for supervised fine-tuning. Experiments show that standard conversational fine-tuning does not improve EI, but targeted EI-grounded LoRA training on Qwen-2.5-7B-Base significantly boosts performance across all EI subcategories. AI

    IMPACT This research provides a method to imbue LLMs with emotional intelligence, crucial for sensitive applications like mental health support.