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Pradhyumna Lavania

dblp:359/6371 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation
large language model evaluation
0.712023
EtiCor: Corpus for Analyzing LLMs for Etiquettes · EMNLP 2023
Computational social science and digital humanities
cultural analysis
0.212023
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
YearPublicationVenuePosition
2024 Towards Measuring and Modeling "Culture" in LLMs: A Survey
abstract
Muhammad 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
EMNLP3
2023 EtiCor: Corpus for Analyzing LLMs for Etiquettes
abstract
Etiquettes 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
EMNLP2