Esma Balkir
Artificial Intelligence · 2023
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Safety, Robustness & Interpretability — 24 citations into it
- Natural Language Processing — 15 citations into it
Whom Esma Balkir trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Esma Balkir's perspective
Ordered by how strongly the researchers Esma Balkir trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
- Language (Technology) is Power: A Critical Survey of “Bias” in NLP
- The Woman Worked as a Babysitter: On Biases in Language Generation
- RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
- StereoSet: Measuring stereotypical bias in pretrained language models
- CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
- Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
- Measurement and Fairness
- UNQOVERing Stereotypical Biases via Underspecified Questions
Their papers
- This Prompt is Measuring : Evaluating Bias Evaluation in Language Models (2023) — 17 citations