CAREBench provides the first benchmark with full inferential chain annotations for appraisal reasoning and emotion understanding in LLMs, showing that stronger models still fall short on reasoning steps and capturing subjective human differences.
Emollms: A series of emotional large language models and annotation tools for comprehensive affective analysis
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
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HormoneT5 augments T5 with a hormone-inspired block that predicts six continuous emotion values and uses them to modulate responses, reporting over 85% per-hormone accuracy and human preference for emotional quality.
citing papers explorer
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CAREBench: Evaluating LLMs' Emotion Understanding by Assessing Cognitive Appraisal Reasoning
CAREBench provides the first benchmark with full inferential chain annotations for appraisal reasoning and emotion understanding in LLMs, showing that stronger models still fall short on reasoning steps and capturing subjective human differences.
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A Hormone-inspired Emotion Layer for Transformer language models (HELT)
HormoneT5 augments T5 with a hormone-inspired block that predicts six continuous emotion values and uses them to modulate responses, reporting over 85% per-hormone accuracy and human preference for emotional quality.