VLDB 2026 Research / reviewers in the wild / expert
Amirreza Naziri
dblp:383/8916
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 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
1 paper |
Trustworthy machine learning · 87% Language models and text generation · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › fairness
bias evaluation |
1.0 | 1 | 2026 | Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models · ACL (1) 2026 |
Machine learning › Trustworthy machine learning
fairness |
1.0 | 1 | 2026 | Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models · ACL (1) 2026 |
Natural language and speech › Language models and text generation
large language model evaluation |
0.3 | 1 | 2026 | Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models · ACL (1) 2026 |
Methods — techniques the papers use, named apart from their topics
metric agreement analysis · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Quantifying Metric and Model Agreement in Bias Evaluation of Large Language ModelsabstractArash Asgari, Huan Wu, Amirreza Naziri, Mojtaba Kolahdouzi, Laleh Seyyed-Kalantari. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026. Arash Asgari, Amirreza Naziri, Mojtaba Kolahdouzi, Laleh Seyyed-Kalantari |
ACL (1) | 3 |