DPUA is a two-phase framework that aligns LLM uncertainty expressions with human disagreement distributions in subjectivity analysis while preserving task performance.
Agreeing to disagree: Annotating offensive language datasets with annotators’ disagreement
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 2years
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Closure of the Perspective API exposes structural dependence on a single proprietary toxicity scorer, leaving non-updatable benchmarks and irreproducible results while risking continued reliance on closed LLMs.
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Aligning LLM Uncertainty with Human Disagreement in Subjectivity Analysis
DPUA is a two-phase framework that aligns LLM uncertainty expressions with human disagreement distributions in subjectivity analysis while preserving task performance.
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Bye Bye Perspective API: Lessons for Measurement Infrastructure in NLP, CSS and LLM Evaluation
Closure of the Perspective API exposes structural dependence on a single proprietary toxicity scorer, leaving non-updatable benchmarks and irreproducible results while risking continued reliance on closed LLMs.