2 papers
cs.LG2024
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
Yicong Li, Yu Yang, Jiannong Cao +3
Recent studies successfully learned static graph embeddings that are structurally fair by preventing the effectiveness disparity of high- and low-degree vertex groups in downstream…
cs.CL2024
Expert-Guided Extinction of Toxic Tokens for Debiased Generation
Xueyao Sun, Kaize Shi, Haoran Tang +2
Large language models (LLMs) can elicit social bias during generations, especially when inference with toxic prompts. Controlling the sensitive attributes in generation encounters…