most citedCLHA: A Simple yet Effective Contrastive Learning Framework for Human Alignment

1 citations · 3 across the 6 of their papers we have counts for

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cs.CL2024

APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation

Yuxuan Hu, Minghuan Tan, Chenwei Zhang +5

Empathetic response generation is designed to comprehend the emotions of others and select the most appropriate strategies to assist them in resolving emotional challenges. Empathy…

cs.CL20241 cited

CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling

Chenhao Zhang, Renhao Li, Minghuan Tan +7

Using large language models (LLMs) to assist psychological counseling is a significant but challenging task at present. Attempts have been made on improving empathetic conversation…

cs.CL2024

Layer-wise Regularized Dropout for Neural Language Models

Shiwen Ni, Min Yang, Ruifeng Xu +2

Among the various pre-trained neural language models that are popular today, dropout is already an indispensable regularization technique. To solve the inconsistency between traini…

cs.CL20241 cited

E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models

Jinchang Hou, Chang Ao, Haihong Wu +8

With the accelerating development of Large Language Models (LLMs), many LLMs are beginning to be used in the Chinese K-12 education domain. The integration of LLMs and education is…

cs.CL2023

Self-Distillation with Meta Learning for Knowledge Graph Completion

Yunshui Li, Junhao Liu, Chengming Li +1

In this paper, we propose a selfdistillation framework with meta learning(MetaSD) for knowledge graph completion with dynamic pruning, which aims to learn compressed graph embeddin…