FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity

30 November 2023

Papers citing "FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity"

6 / 6 papers shown

Title
Weak-to-Strong Generalization beyond Accuracy: a Pilot Study in Safety, Toxicity, and Legal Reasoning Ruimeng Ye Yang Xiao Bo Hui ALM ELM OffRL 27 2 0 16 Oct 2024
SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety Paul Röttger Fabio Pernisi Bertie Vidgen Dirk Hovy ELM KELM 53 30 0 08 Apr 2024
Position: AI Evaluation Should Learn from How We Test Humans Yan Zhuang Q. Liu Yuting Ning Wei Huang Rui Lv Zhenya Huang Guanhao Zhao Zheng-Wei Zhang ELM ALM 62 21 0 18 Jun 2023
A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models Chenyang Lyu Zefeng Du Jitao Xu Yitao Duan Minghao Wu Teresa Lynn Alham Fikri Aji Derek F. Wong Siyou Liu Longyue Wang 41 25 0 02 May 2023
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset Eric Michael Smith Melissa Hall Melanie Kambadur Eleonora Presani Adina Williams 65 128 0 18 May 2022
BBQ: A Hand-Built Bias Benchmark for Question Answering Alicia Parrish Angelica Chen Nikita Nangia Vishakh Padmakumar Jason Phang Jana Thompson Phu Mon Htut Sam Bowman 212 364 0 15 Oct 2021