mlsanityData to 7 Oct 2026

A Note on Bias to Complete

arXiv 2402.11710 ↗First posted 18 Feb 2024cs.CLcited by 1

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Abstract (arXiv)

Minimizing social bias strengthens societal bonds, promoting shared understanding and better decision-making. We revisit the definition of bias by discovering new bias types (e.g., societal status) in dynamic environments and describe them relative to context, such as culture, region, time, and personal background. Our framework includes eight hypotheses about bias and a minimizing bias strategy for each assumption as well as five methods as proposed solutions in LLM. The realization of the framework is yet to be completed.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 102 of its 161 references that are in the map. First posted on arXiv 18 Feb 2024.

Builds on

102 of 161 references.

References · 102

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38 more
  1. 2021Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Searchcited by 90
  2. 2022Language Contamination Helps Explain the Cross-lingual Capabilities of English Pretrained Modelscited by 90
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  1. 2025Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directionscited by 23