EDBT 2026 Demo / reviewers in the wild / expert
Muhammed Abdulbari
dblp:413/6645
· 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 2021Graphics, computer vision, multimedia, augmented reality and games · 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 |
Language models and text generation · 77% Trustworthy machine learning · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation › alignment
scalable oversight |
1.0 | 1 | 2026 | Confirmation Bias: A Challenge for Scalable Oversight · AAAI 2026 |
Machine learning › Trustworthy machine learning
confirmation bias |
0.3 | 1 | 2026 | Confirmation Bias: A Challenge for Scalable Oversight · AAAI 2026 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Confirmation Bias: A Challenge for Scalable Oversight
Gabriel Recchia, Chatrik Singh Mangat, Jinu Nyachhyon, Mridul Sharma, Callum Canavan, Dylan Epstein-Gross, Muhammed Abdulbari |
AAAI | 7 |