Demo Data from EDBT 2026 / reviewers in the wild / expert
Sa Wu
dblp:197/6040
· DBLP profile ↗
1ranked-venue papers
0as 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 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 · 50% Multi-agent systems · 50% |
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 › LLM agents
agent generalization |
0.8 | 1 | 2024 | AI-Olympics: Exploring the Generalization of Agents through Open Competitions · IJCAI 2024 |
Knowledge, reasoning and agents › Multi-agent systems › multi-agent decision making
multi-agent competition |
0.8 | 1 | 2024 | AI-Olympics: Exploring the Generalization of Agents through Open Competitions · IJCAI 2024 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | AI-Olympics: Exploring the Generalization of Agents through Open Competitions
Sa Wu |
IJCAI | 4 |