Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning

16 October 2023

Papers citing "Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning"

7 / 7 papers shown

Title
Can large language models explore in-context? Akshay Krishnamurthy Keegan Harris Dylan J. Foster Cyril Zhang Aleksandrs Slivkins LM&Ro LLMAG LRM 126 23 0 22 Mar 2024
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering Sheng Liu Haotian Ye Lei Xing James Y. Zou 26 84 0 11 Nov 2023
Mixture of Soft Prompts for Controllable Data Generation Derek Chen Celine Lee Yunan Lu Domenic Rosati Zhou Yu 114 22 0 02 Mar 2023
APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations Katherine Atwell Sabit Hassan Malihe Alikhani 57 30 0 17 Sep 2022
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 236 156 0 15 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 279 1,124 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,312 0 17 Jan 2021