Ellyn Ayton

5 papers · 2020–2022 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird

Venues

NAACL (3) ACL (1) COLING (1)

Top co-authors

Maria Glenski (5) Svitlana Volkova (4) Robin Cosbey (3) Dustin Arendt (3) Zhuanyi Shaw (1) Tim Althoff (1) Scott Vasquez (1) Sameera Horawalavithana (1) Shivam Sharma (1) Galen Weld (1)

Research topics

Machine Learning (4) Natural Language Processing (4) Artificial Intelligence (3) Applications (3) Core AI (3) Application Areas (2) Learning Types · Machine Learning (2) Deep Learning (1) Learning Types · Deep Learning (1) Models (1) Resources & Methods (1) Understanding (1)

Keywords

deception detection (3) text classification (3) model evaluation (2) domain adaptation (1) model robustness (1) named entity recognition (1) multimodal learning (1) bias detection (1) machine reading comprehension (1) adversarial attack (1) adversarial defense (1) language model (1) foundation model (1) model scaling (1) interactive visualization (1) misinformation detection (1) error analysis (1) model fairness (1) linguistic variation (1) scientific knowledge (1)

Papers

Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned ACL 2022 CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation NAACL 2021 Evaluating Deception Detection Model Robustness To Linguistic Variation NAACL 2021 Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models NAACL 2021 Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages COLING 2020