73 citations · 106 across the 11 of their papers we have counts for
3 papers · 1 filter
Deep Concept Removal
Yegor Klochkov, Jean-Francois Ton, Ruocheng Guo +2
We address the problem of concept removal in deep neural networks, aiming to learn representations that do not encode certain specified concepts (e.g., gender etc.) We propose a no…
Post-hoc Bias Scoring Is Optimal For Fair Classification
Wenlong Chen, Yegor Klochkov, Yang Liu
We consider a binary classification problem under group fairness constraints, which can be one of Demographic Parity (DP), Equalized Opportunity (EOp), or Equalized Odds (EO). We p…
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Yang Liu, Yuanshun Yao, Jean-Francois Ton +6
Ensuring alignment, which refers to making models behave in accordance with human intentions [1,2], has become a critical task before deploying large language models (LLMs) in real…