Demo Data from EDBT 2026 / reviewers in the wild / expert
Joseph Jennings
dblp:371/4319
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0001-7093-355XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 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
2 papers |
Language models and text generation · 50% Representation and self-supervised learning · 25% Efficient and distributed learning · 25% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning
data curation |
0.9 | 1 | 2025 | Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset · ACL (1) 2025 |
Machine learning › Representation and self-supervised learning › pre-training
pretraining data |
0.9 | 1 | 2025 | Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset · ACL (1) 2025 |
Natural language and speech › Language models and text generation › large language model training
pretraining corpus construction |
0.8 | 1 | 2024 | Data, Data Everywhere: A Guide for Pretraining Dataset Construction · EMNLP 2024 |
Natural language and speech › Language models and text generation › large language model training › language model pretraining
pretraining data curation |
0.8 | 1 | 2024 | Data, Data Everywhere: A Guide for Pretraining Dataset Construction · EMNLP 2024 |
Natural language and speech › Language models and text generation › large language model training
large-scale pretraining |
0.2 | 1 | 2024 | Data, Data Everywhere: A Guide for Pretraining Dataset Construction · EMNLP 2024 |
Methods — techniques the papers use, named apart from their topics
data filtering · 1.6deduplication · 0.9data curation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining DatasetabstractDan Su, Kezhi Kong, Ying Lin, Joseph Jennings, Brandon Norick, Markus Kliegl, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025. Dan Su 0003, Kezhi Kong, Joseph Jennings, Brandon Norick, Markus Kliegl, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
ACL (1) | 4 |
| 2024 | Data, Data Everywhere: A Guide for Pretraining Dataset ConstructionabstractJupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Liu, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024. Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
EMNLP | 3 |