Demo Data from VLDB 2026 / reviewers in the wild / expert
Mahammad Parwez Alam
dblp:380/6133
· 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 |
Efficient and distributed learning · 56% Language models and text generation · 44% |
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 evaluation |
0.9 | 1 | 2025 | SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation · ACL (1) 2025 |
Machine learning › Efficient and distributed learning
subset selection |
0.9 | 1 | 2025 | SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation · ACL (1) 2025 |
Methods — techniques the papers use, named apart from their topics
rank correlation prediction · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM EvaluationabstractGayathri Saranathan, Cong Xu, Mahammad Parwez Alam, Tarun Kumar, Martin Foltin, Soon Yee Wong, Suparna Bhattacharya. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025. Gayathri Saranathan, Mahammad Parwez Alam, Martin Foltin, Soon Yee Wong, Suparna Bhattacharya |
ACL (1) | 3 |