Pushkar Mishra
Pushkar Mishra has 3 papers in our library, in 2021–2026, most of them on English; often with Ekaterina Shutova, Helen Yannakoudakis, Michael Henry Tessler.
OpenAlex · ORCID · h-index 11 · 26 works · 399 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 31 times in our library · ⭐ Paper Stars ranking: #7473
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksSocial Sciences · 2 worksCommunication · 1 workArts and Humanities · 1 workExperimental and Cognitive Psychology · 1 workLanguage and Linguistics · 1 workPsychology · 1 workInformation Systems · 1 workSociology and Political Science · 1 work
🧭 Topics 1Research subjects and languages the work is about.English · 1 work
Works by year
2020s
Papers
- Ruddit: Norms of Offensiveness for English Reddit Comments (2021 · 48 citations)
Most offensive-language datasets put each comment into a category such as hateful, abusive or normal. These categories overlap, their boundaries are fuzzy, and annotators become desensitized after reading many harsh texts. Hada et al. instead treat offensiveness as a continuous scale. They built Ruddit, 6000 English… - Value Profiles for Encoding Human Variation (2025 · 15 citations)
Annotators often disagree on subjective rating tasks such as toxicity, hate speech or chat preferences. This disagreement is usually discarded as noise. The authors instead model each rater individually and ask how a person is best represented. They propose value profiles: short free-text descriptions of a rater's… - Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection Models (2026)
Misinformation detectors are usually trained on dated, narrowly focused datasets. In deployment, however, they meet content whose events, publishers and topics have shifted, and current models handle such out-of-distribution (OoD) data poorly. The authors present misinfo-general, a benchmark that estimates robustness…
Co-authors here
- Ekaterina Shutova ×2
- Helen Yannakoudakis
- Michael Henry Tessler
- Noah D. Goodman
- Rishav Hada
- Roma Patel
- Saif Mohammad
- Taylor Sorensen
- Verena Rieser
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2021
- Computational Linguistics: Computational Linguistics 2026
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
Cited by
Updated
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