Demo Data from VLDB 2026 / reviewers in the wild / expert
Lara Marinov
dblp:401/8410
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—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 |
Language models and text generation · 77% Efficient and distributed learning · 23% |
Topics — the 1 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 › language modeling
scaling behavior |
0.9 | 1 | 2025 | Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions · EMNLP 2025 |
Methods — techniques the papers use, named apart from their topics
scaling laws · 0.9ablation study · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design DecisionsabstractEmmy Liu, Amanda Bertsch, Lintang Sutawika, Lindia Tjuatja, Patrick Fernandes, Lara Marinov, Michael Chen, Shreya Singhal, Carolin Lawrence, Aditi Raghunathan, Kiril Gashteovski, Graham Neubig. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025. Emmy Liu, Amanda Bertsch, Lintang Sutawika, Lindia Tjuatja, Patrick Fernandes, Lara Marinov, Shreya Singhal, Carolin Lawrence, Aditi Raghunathan, Kiril Gashteovski, Graham Neubig |
EMNLP | 6 |