Demo Data from EDBT 2026 / reviewers in the wild / expert
Pradhyumna Lavania
dblp:359/6371
· 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 · 62% Information extraction and text analysis · 29% Trustworthy machine learning · 10% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% |
Topics — the 2 heaviest of 5, 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 |
0.7 | 1 | 2023 | EtiCor: Corpus for Analyzing LLMs for Etiquettes · EMNLP 2023 |
Computational social science and digital humanities
cultural analysis |
0.2 | 1 | 2023 | EtiCor: Corpus for Analyzing LLMs for Etiquettes · EMNLP 2023 |
Methods — techniques the papers use, named apart from their topics
corpus construction · 1.3survey · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Towards Measuring and Modeling "Culture" in LLMs: A SurveyabstractMuhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, Siddhant Shivdutt Singh, Alham Fikri Aji, Jacki O’Neill, Ashutosh Modi, Monojit Choudhury. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024. Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, Siddhant Singh, Alham Fikri Aji, Jacki O'Neill, Ashutosh Modi, Monojit Choudhury |
EMNLP | 3 |
| 2023 | EtiCor: Corpus for Analyzing LLMs for EtiquettesabstractEtiquettes are an essential ingredient of dayto-day interactions among people.Moreover, etiquettes are region-specific, and etiquettes in one region might contradict those in other regions.In this paper, we propose EtiCor, an Etiquettes Corpus, having texts about social norms from five different regions across the globe.The corpus provides a test bed for evaluating LLMs for knowledge and understanding of region-specific etiquettes.Additionally, we propose the task of Etiquette Sensitivity.We experiment with state-of-the-art LLMs (Delphi, Falcon40B, and GPT-3.5).Initial results indicate that LLMs, mostly fail to understand etiquettes from regions from non-Western world. * Equal Contributions 1In this paper, we use the term etiquette and social norm inter-changeably Wikipedia DataPercentage Ashutosh Dwivedi, Pradhyumna Lavania, Ashutosh Modi |
EMNLP | 2 |