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Elizabeth M. Daly
Observed names:
Daly, Elizabeth,
Daly, Elizabeth M.,
Elizabeth Daly
Institutions:
IBM (United States),
The University of Queensland,
IBM (Ireland),
IBM Research - Ireland
Observed institutions:
IBM (United States),
The University of Queensland,
IBM (Ireland),
IBM Research - Ireland
OpenAlex ID:
A5139719947
Machine Learning and Knowledge Discovery in Databases
2019
·
Brefeld, Ulf
, Curry, Edward
, et al.
·
Lecture notes in computer science
·
11
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
2022
·
Dennis Wei
, Rahul Nair
, et al.
·
neural information processing systems
·
7
PDF
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
2026
·
Saeri, Alexander K.
, Graham, Jess
, et al.
·
arXiv (Cornell University)
·
2
PDF
Policy-as-logic for robust reasoning over rules
2026
·
Nair, Rahul
, Lipka, Bastian
, et al.
·
arXiv (Cornell University)
PDF
FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
2026
·
Association for Computational Linguistics 2026
, Barry, James
, et al.
·
Underline Science Inc.
A Representation-Level Assessment of Bias Mitigation in Foundation Models
2026
·
Nizhnichenkov, Svetoslav
, Nair, Rahul
, et al.
·
arXiv (Cornell University)
PDF
AI Steerability 360: A Toolkit for Steering Large Language Models
2026
·
Miehling, Erik
, Ramamurthy, Karthikeyan Natesan
, et al.
·
arXiv (Cornell University)
PDF
FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
2026
·
Carnerero-Cano, Javier
, Pronesti, Massimiliano
, et al.
·
arXiv (Cornell University)
PDF
Risk Atlas Nexus: A System for Managing AI Risks
2026
·
Association for Artificial Intelligence 2026
, Daly, Elizabeth M.
, et al.
·
Underline Science Inc.
A Representation-Level Assessment of Bias Mitigation in Foundation Models
2026
·
Svetoslav Nizhnichenkov
, Rahul Nair
, et al.
·
Communications in computer and information science
FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
2026
·
Javier Carnerero-Cano
, Massimiliano Pronesti
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
BenchNavigator: A Discovery Interface for Comparing LLM Benchmarks
2026
·
Anna Sokol
, Inge Vejsbjerg
, et al.
·
Workshop on Evaluating Evaluations (EvalEval)
PDF
AI Steerability 360: A Toolkit for Steering Large Language Models
2026
·
Erik Miehling
, Karthikeyan Natesan Ramamurthy
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Does Thinking Help Fairness? Reasoning Tokens Resolve Some Biases but Create More
2026
·
Deng Pan
, Joe Germino
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
Paying Alignment Tax with Contrastive Learning
2025
·
Korkmaz, Buse Sibel
, Nair, Rahul
, et al.
·
arXiv (Cornell University)
PDF
Cookie Consent Has Disparate Impact on Estimation Accuracy
2023
·
Erik Miehling
, Rahul Nair
, et al.
·
neural information processing systems
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Works count:
16
Citation count:
20
H-index:
2
I10-index:
1
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