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EDBT 2026 Demo / reviewers in the wild / expert

Elahe Kalbassi

dblp:324/2305 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 3 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
3 papers
Machine translation · 44% Trustworthy machine learning · 44% Language models and text generation · 13%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning › fairness
demographic bias		 0.712023
Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale · EMNLP 2023
Machine learning › Trustworthy machine learning
fairness		 0.712023
Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale · EMNLP 2023
Natural language and speech › Machine translation
low-resource machine translation		 0.712023
Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation · ACL (1) 2023
Natural language and speech › Language models and text generation
multilingual language models		 0.212023
Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale · EMNLP 2023

Methods — techniques the papers use, named apart from their topics

transfer learning · 0.7fine-tuning · 0.7
YearPublicationVenuePosition
2023 Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation
abstract
Jean Maillard, Cynthia Gao, Elahe Kalbassi, Kaushik Ram Sadagopan, Vedanuj Goswami, Philipp Koehn, Angela Fan, Francisco Guzman. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Jean Maillard, Cynthia Gao, Elahe Kalbassi, Kaushik Ram Sadagopan, Vedanuj Goswami, Philipp Koehn, Angela Fan, Francisco Guzmán
 ACL (1)3
2023 Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale
abstract
Marta Costa-jussà, Pierre Andrews, Eric Smith, Prangthip Hansanti, Christophe Ropers, Elahe Kalbassi, Cynthia Gao, Daniel Licht, Carleigh Wood. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
Marta R. Costa-jussà, Pierre Andrews, Eric Michael Smith, Prangthip Hansanti, Christophe Ropers, Elahe Kalbassi, Cynthia Gao, Daniel Licht, Carleigh Wood
 EMNLP6
2023 HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation
abstract
David Dale, Elena Voita, Janice Lam, Prangthip Hansanti, Christophe Ropers, Elahe Kalbassi, Cynthia Gao, Loic Barrault, Marta Costa-jussà. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
David Dale, Elena Voita, Janice Lam, Prangthip Hansanti, Christophe Ropers, Elahe Kalbassi, Cynthia Gao, Loïc Barrault, Marta R. Costa-jussà
 EMNLP6