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Sahaj Agarwal

dblp:339/2532 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 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 · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning
parameter-efficient fine-tuning
0.612022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning · EMNLP 2022
Machine learning › Efficient and distributed learning
model tuning
0.212022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning · EMNLP 2022

Methods — techniques the papers use, named apart from their topics

mixture of experts · 0.6adapter tuning · 0.6
YearPublicationVenuePosition
2023 TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain
Sahil Manoj Bhatt, Sahaj Agarwal, Omkar Gurjar, Manish Gupta 0001, Manish Shrivastava 0001
ECIR (1)2
2022 AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
abstract
Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.
Yaqing Wang 0001, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu 0003, Jing Gao 0004, Ahmed Awadallah 0001, Jianfeng Gao 0001
EMNLP2