Towards Efficiently Diversifying Dialogue Generation via Embedding
Augmentation

Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation

2 March 2021

Liang Ding

Papers citing "Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation"

5 / 5 papers shown

Title
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer Boan Liu Liang Ding Li Shen Keqin Peng Yu Cao Dazhao Cheng Dacheng Tao MoE 36 7 0 15 Oct 2023
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models Qingyue Wang Y. Fu Yanan Cao Zhiliang Tian Shi Wang Dacheng Tao LLMAG KELM RALM 57 24 0 29 Aug 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks Haoqi Zheng Qihuang Zhong Liang Ding Zhiliang Tian Xin-Yi Niu Dongsheng Li Dacheng Tao VLM 29 6 0 22 May 2023
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis Qingyu Lu Liang Ding Liping Xie Kanjian Zhang Derek F. Wong Dacheng Tao ELM ALM 34 14 0 20 Dec 2022
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis Bing Wang Liang Ding Qihuang Zhong Ximing Li Dacheng Tao 27 32 0 16 Apr 2022