Eve Fleisig

13 papers · 2020–2025 · 4 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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+4 more ↓

🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint

⚡ Prolific Year · Productive ❓ The Questioner 💎 Century Club · Bronze 🗃️ Keyword Collector (68)

Venues

EMNLP (6) NAACL (4) ACL (2) COLING (1)

Top co-authors

Dan Klein (7) Su Lin Blodgett (2) Yoo Yeon Sung (2) Jordan Lee Boyd-Graber (2) Kyunghyun Cho (1) Emily Sheng (1) Matthias Orlikowski (1) Adam Lopez (1) Rediet Abebe (1) Kashyap Coimbatore Murali (1)

Research topics

Machine Learning (11) Application Areas (9) Artificial Intelligence (7) Core AI (7) Natural Language Processing (5) Core Methods (5) Learning Types (5) Optimization & Theory (3) Applications (2) Resources & Methods (2) Generation (1)

Keywords

annotator disagreement (3) text classification (2) subjective task (2) benchmark evaluation (2) toxicity detection (2) annotation quality (2) language model (2) large language model (2) spam filtering (1) in-context learning (1) algorithmic fairness (1) question answering (1) model evaluation (1) text generation (1) machine translation (1) weakly supervised learning (1) natural language processing (1) responsible ai (1) natural language understanding (1) confidence calibration (1)

Papers

Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions EMNLP 2025 GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration ACL 2025 Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness NAACL 2025 Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree EMNLP 2024 First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models NAACL 2024 Ghostbuster: Detecting Text Ghostwritten by Large Language Models NAACL 2024 Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination EMNLP 2024 The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels NAACL 2024 Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection EMNLP 2023 FairPrism: Evaluating Fairness-Related Harms in Text Generation ACL 2023 Incorporating Worker Perspectives into MTurk Annotation Practices for NLP EMNLP 2023 When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks EMNLP 2023 Bilingual Lexical Access and Cognate Idiom Comprehension COLING 2020