Demo Data from VLDB 2026 / reviewers in the wild / expert
Santiago Akle Serano
dblp:402/5327
· 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 · 67% Efficient and distributed learning · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning
inference efficiency |
0.9 | 1 | 2025 | SWAN: An Efficient and Scalable Approach for Long-Context Language Modeling · EMNLP 2025 |
Natural language and speech › Language models and text generation
language modeling |
0.9 | 1 | 2025 | SWAN: An Efficient and Scalable Approach for Long-Context Language Modeling · EMNLP 2025 |
Natural language and speech › Language models and text generation › language modeling
long-context language modeling |
0.9 | 1 | 2025 | SWAN: An Efficient and Scalable Approach for Long-Context Language Modeling · EMNLP 2025 |
Methods — techniques the papers use, named apart from their topics
attention mechanism · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | SWAN: An Efficient and Scalable Approach for Long-Context Language ModelingabstractKrishna C Puvvada, Faisal Ladhak, Santiago Akle Serano, Cheng-Ping Hsieh, Shantanu Acharya, Somshubra Majumdar, Fei Jia, Samuel Kriman, Simeng Sun, Dima Rekesh, Boris Ginsburg. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025. Krishna C. Puvvada, Faisal Ladhak, Santiago Akle Serano, Cheng-Ping Hsieh, Shantanu Acharya, Somshubra Majumdar, Fei Jia, Samuel Kriman, Simeng Sun, Dima Rekesh, Boris Ginsburg |
EMNLP | 3 |