DiVa: An Iterative Framework to Harvest More Diverse and Valid Labels from User Comments for Music

9 August 2023

Papers citing "DiVa: An Iterative Framework to Harvest More Diverse and Valid Labels from User Comments for Music"

5 / 5 papers shown

Title
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks Anders Giovanni Møller Jacob Aarup Dalsgaard Arianna Pera L. Aiello 67 34 0 26 Apr 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 128 270 0 23 Jan 2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification Ting Jiang Deqing Wang Leilei Sun Huayi Yang Zhengyang Zhao Fuzhen Zhuang VLM 110 136 0 09 Jan 2021
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 216 787 0 26 Aug 2019