Cross-replication Reliability -- An Empirical Approach to Interpreting Inter-rater Reliability
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Abstract (arXiv)
We present a new approach to interpreting IRR that is empirical and contextualized. It is based upon benchmarking IRR against baseline measures in a replication, one of which is a novel cross-replication reliability (xRR) measure based on Cohen's kappa. We call this approach the xRR framework. We opensource a replication dataset of 4 million human judgements of facial expressions and analyze it with the proposed framework. We argue this framework can be used to measure the quality of crowdsourced datasets.
Key facts. Cited by 31 papers in the map (data through 14 Oct 2026). Builds on 3 of its 50 references that are in the map. First posted on arXiv 11 Jun 2021.
Builds on
3 of 50 references.
References · 3
- 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
- 2019Do ImageNet Classifiers Generalize to ImageNet?cited by 1,515
- 2020Identifying Statistical Bias in Dataset Replicationcited by 24
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Citing papers per year: 2022: 3; 2023: 6; 2024: 8; 2025: 5; 2026: 9.
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- 2024A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Modelscited by 45
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- 2026Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse11 Aug 2026
- 2026TIDES: A Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamics3 Aug 2026
- 2026Effective Performance Measurement: Challenges and Opportunities in KPI Extraction from Earnings Calls4 May 2026
- 2026Counting on Consensus: Selecting the Right Inter-annotator Agreement Metric for NLP Annotation and Evaluation6 Mar 2026
- 2026The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation11 Feb 2026
- 2026Agent Benchmarks Fail Public Sector Requirements28 Jan 2026
- 2026Are we chasing ghosts? Quantifying unattributable polarization, and attributing the rest to annotator groups16 Jan 2026
- 2026RIGOURATE: Quantifying Scientific Exaggeration with Evidence-Aligned Claim Evaluation7 Jan 2026
- 2025Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech Detection10 Dec 2025
- 2025Tracing How Annotators Think: Augmenting Preference Judgments with Reading Processes26 Nov 2025
- 2025Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media21 Oct 2025
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- 2025What Is The Political Content in LLMs' Pre- and Post-Training Data?26 Sep 2025
- 2025Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models15 Jul 2025
- 2024Multimodal Fusion with LLMs for Engagement Prediction in Natural Conversation13 Sep 2024
- 2024Rater Cohesion and Quality from a Vicarious Perspective15 Aug 2024
- 2024Localizing and Mitigating Errors in Long-form Question Answering16 Jul 2024
- 2024TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models28 May 2024
- 2024D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation16 Apr 2024
- 2024A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models18 Mar 2024
- 2024Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation21 Feb 2024
- 2024Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback11 Jan 2024
- 2023Evolving Domain Adaptation of Pretrained Language Models for Text Classification16 Nov 2023
- 2023GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives9 Nov 2023
- 2023Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities1 Nov 2023
- 2023How We Define Harm Impacts Data Annotations: Explaining How Annotators Distinguish Hateful, Offensive, and Toxic Comments12 Sep 2023
- 2023Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection22 Aug 2023
- 2023Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce8 Mar 2023
- 2022Undesirable Biases in NLP: Addressing Challenges of Measurement24 Nov 2022
- 2022Measuring and Improving Semantic Diversity of Dialogue Generation11 Oct 2022
- 2022k-Rater Reliability: The Correct Unit of Reliability for Aggregated Human Annotations24 Mar 2022
- 2026Agent Benchmarks Fail Public Sector Requirementscited by 3
- 2026Agent Benchmarks Fail Public Sector Requirements28 Jan 2026
- 2024A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Modelscited by 45
- 2024TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Modelscited by 22
- 2022Measuring and Improving Semantic Diversity of Dialogue Generationcited by 16
- 2024Dynamic Multi-Reward Weighting for Multi-Style Controllable Generationcited by 13
- 2026Counting on Consensus: Selecting the Right Inter-annotator Agreement Metric for NLP Annotation and Evaluationcited by 13
- 2024D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluationcited by 11
- 2024Rater Cohesion and Quality from a Vicarious Perspectivecited by 8
- 2022k-Rater Reliability: The Correct Unit of Reliability for Aggregated Human Annotationscited by 7
- 2025What Is The Political Content in LLMs' Pre- and Post-Training Data?cited by 7
- 2023Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communitiescited by 6
- 2023Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collectioncited by 5
- 2023Evolving Domain Adaptation of Pretrained Language Models for Text Classificationcited by 5
12 most cited of 26 All 26 (JSON)
- 2026Beyond Majority Vote: Multi-Perspective Adjudication for Medical Hallucination Detection3 Sep 2026
- 2026Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse11 Aug 2026
- 2026TIDES: A Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamics3 Aug 2026
- 2026Effective Performance Measurement: Challenges and Opportunities in KPI Extraction from Earnings Calls4 May 2026
- 2026Counting on Consensus: Selecting the Right Inter-annotator Agreement Metric for NLP Annotation and Evaluation6 Mar 2026
- 2026The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation11 Feb 2026
- 2026Are we chasing ghosts? Quantifying unattributable polarization, and attributing the rest to annotator groups16 Jan 2026
- 2026RIGOURATE: Quantifying Scientific Exaggeration with Evidence-Aligned Claim Evaluation7 Jan 2026
- 2025Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech Detection10 Dec 2025
- 2025Tracing How Annotators Think: Augmenting Preference Judgments with Reading Processes26 Nov 2025
- 2025Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media21 Oct 2025
- 2025What Is The Political Content in LLMs' Pre- and Post-Training Data?26 Sep 2025
12 newest of 26 All 26 (JSON)