Demo Data from EDBT 2026 / reviewers in the wild / expert
Krishna Yerragorla
dblp:389/8395
· 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 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 · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation
complex reasoning |
0.8 | 1 | 2024 | EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning · EMNLP 2024 |
Methods — techniques the papers use, named apart from their topics
exemplar selection · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | EXPLORA: Efficient Exemplar Subset Selection for Complex ReasoningabstractKiran Purohit, Venktesh V, Raghuram Devalla, Krishna Mohan Yerragorla, Sourangshu Bhattacharya, Avishek Anand. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024. Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Yerragorla, Sourangshu Bhattacharya, Avishek Anand |
EMNLP | 4 |