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cs.CL2026
EmoLLM: Appraisal-Grounded Cognitive-Emotional Co-Reasoning in Large Language Models
Yifei Zhang, Mingyang Li, Henry Gao +1
Large language models (LLMs) demonstrate strong cognitive intelligence (IQ), yet many real-world interactions also require emotional intelligence (EQ) to produce responses that are…
cs.CL2024★ 4 cited
ELAD: Explanation-Guided Large Language Models Active Distillation
Yifei Zhang, Bo Pan, Chen Ling +2
The deployment and application of Large Language Models (LLMs) is hindered by their memory inefficiency, computational demands, and the high costs of API inferences. Traditional di…
cs.CL2024
Distilling Large Language Models for Text-Attributed Graph Learning
Bo Pan, Zheng Zhang, Yifei Zhang +2
Text-Attributed Graphs (TAGs) are graphs of connected textual documents. Graph models can efficiently learn TAGs, but their training heavily relies on human-annotated labels, which…