Demo Data from VLDB 2026 / reviewers in the wild / expert
Hamit Kavas
dblp:388/2035
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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 |
Information extraction and text analysis · 50% Language models and text generation · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational finance and economics · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation › large language model
large language model applications |
0.8 | 1 | 2024 | Using Large Language Models and Recruiter Expertise for Optimized Multilingual Job Offer - Applicant CV Matching · IJCAI 2024 |
Computational finance and economics
labor market analytics |
0.2 | 1 | 2024 | Using Large Language Models and Recruiter Expertise for Optimized Multilingual Job Offer - Applicant CV Matching · IJCAI 2024 |
Methods — techniques the papers use, named apart from their topics
recruiter expertise · 1.5large language model · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Using Large Language Models and Recruiter Expertise for Optimized Multilingual Job Offer - Applicant CV Matching
Hamit Kavas, Marc Serra-Vidal, Leo Wanner |
IJCAI | 1 |