Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection

18 February 2024

Papers citing "Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection"

6 / 6 papers shown

Title
CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators Amit Kumar Taoran Ji 70 0 0 26 Feb 2025
Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement Junyu Lu Kai Ma Kaichun Wang Kelaiti Xiao Roy Ka-Wei Lee Bo Xu Liang Yang Hongfei Lin 51 0 0 10 Feb 2025
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection Jianfeng He Hang Su Jason (Jinglun) Cai Igor Shalyminov Hwanjun Song Saab Mansour 32 4 0 06 Mar 2024
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 314 3,273 0 21 Mar 2022
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 339 12,003 0 04 Mar 2022
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech Mai Elsherief Caleb Ziems D. Muchlinski Vaishnavi Anupindi Jordyn Seybolt M. D. Choudhury Diyi Yang 106 237 0 11 Sep 2021