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Found 3 papers, 3 papers with code
MCC-KD: Multi-CoT Consistent Knowledge Distillation
Large language models (LLMs) have showcased remarkable capabilities in complex reasoning through chain of thought (CoT) prompting.
AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression
To enhance the knowledge transfer of model reasoning and generalization, we further explore multi-view attribution distillation on all potential decisions of the teacher.
Directed Acyclic Graph Network for Conversational Emotion Recognition
In this paper, we put forward a novel idea of encoding the utterances with a directed acyclic graph (DAG) to better model the intrinsic structure within a conversation, and design a directed acyclic neural network, namely DAG-ERC, to implement this idea.
Ranked #10 on
Emotion Recognition in Conversation
on DailyDialog
