Tejpalsingh Siledar

dblp:337/0825 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 first-author · 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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › text summarization
opinion summarization
0.812024
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation · ACL (1) 2024
Natural language and speech › Language models and text generation
text generation evaluation
0.812024
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation · ACL (1) 2024

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

prompting · 0.8large language model · 0.8
YearPublicationVenuePosition
2024 One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation
abstract
Tejpalsingh Siledar, Swaroop Nath, Sankara Muddu, Rupasai Rangaraju, Swaprava Nath, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.
Tejpalsingh Siledar, Swaroop Nath, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Swaprava Nath, Pushpak Bhattacharyya, Suman Banerjee 0004, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera
ACL (1)1