Demo Data from VLDB 2026 / reviewers in the wild / expert
Sreya Muppalla
dblp:276/1522
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · none
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 · 40% Information extraction and text analysis · 40% Trustworthy machine learning · 20% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis
event extraction |
0.8 | 1 | 2024 | SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness · EMNLP 2024 |
Machine learning › Trustworthy machine learning
interpretability |
0.8 | 1 | 2024 | Measuring Psychological Depth in Language Models · EMNLP 2024 |
Natural language and speech › Language models and text generation
large language model |
0.8 | 1 | 2024 | Measuring Psychological Depth in Language Models · EMNLP 2024 |
Natural language and speech › Information extraction and text analysis › event extraction
multilingual event extraction |
0.8 | 1 | 2024 | SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness · EMNLP 2024 |
Natural language and speech › Language models and text generation › large language model evaluation › LLM behavior analysis
psycholinguistic evaluation of language models |
0.8 | 1 | 2024 | Measuring Psychological Depth in Language Models · EMNLP 2024 |
Methods — techniques the papers use, named apart from their topics
large language model · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Measuring Psychological Depth in Language ModelsabstractFabrice Y Harel-Canada, Hanyu Zhou, Sreya Muppalla, Zeynep Senahan Yildiz, Miryung Kim, Amit Sahai, Nanyun Peng. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024. Fabrice Harel-Canada, Hanyu Zhou, Sreya Muppalla, Zeynep Yildiz, Miryung Kim, Amit Sahai, Nanyun Peng 0001 |
EMNLP | 3 |
| 2024 | SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and PreparednessabstractTanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024. Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang 0001, Wei Wang 0010, Nanyun Peng 0001 |
EMNLP | 6 |