Depth $F_1$ : Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability

20 June 2024

Papers citing "Depth $F_1$: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability"

5 / 5 papers shown

Title
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning Quanyu Long Wenya Wang Sinno Jialin Pan 21 12 0 20 Nov 2023
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond Jingfeng Yang Hongye Jin Ruixiang Tang Xiaotian Han Qizhang Feng Haoming Jiang Bing Yin Xia Hu LM&MA 123 593 0 26 Apr 2023
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework Yiming Chen Yan Zhang Bin Wang Zuozhu Liu Haizhou Li 27 24 0 30 Oct 2022
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining Yicheng Zou Bolin Zhu Xingwu Hu Tao Gui Qi Zhang 78 31 0 09 Sep 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 288 4,143 0 23 Aug 2019