🔗 Who cites «Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey»

50 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey»

1. Bias and Fairness in Large Language Models: A SurveyIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,074 citations
2. From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsShangbin Feng, Chan Young Park, Yuhan Liu, et al.2023 · 306 citations
3. RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation FrameworkYifan Wang, Vera Demberg2024 · 7 citations

47 more papers of our library cite it; they have no page here yet.

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