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UnBias-Plus: Detect, Explain, and Rewrite Bias
[Submitted on 22 Jun 2026] · 2026-06-23 · via cs.CL updates on arXiv.org

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Abstract:Bias in natural language remains a persistent challenge in both human-written and AI-generated content, affecting domains such as journalism, education, and AI research. Most existing detection methods identify only the presence of bias, with limited support for granular detection, interpretable explanations, neutral rewriting, and openly available trained models. We present UnBias-Plus, an open-source toolkit unifying (1) segment-level multi-class bias classification, (2) biased span localization, (3) neutral text rewriting, and (4) reasoning for each decision. Available via Python, CLI, REST API, and web interfaces, UnBias-Plus supports accessible bias analysis. The toolkit, source code, models, datasets, and documentation are publicly available.

Submission history

From: Ahmed Radwan [view email]
[v1] Mon, 22 Jun 2026 14:36:26 UTC (1,268 KB)

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