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Nalini Singh

dblp:225/0599 · DBLP profile ↗
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1ranked-venue papers
0as 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 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
Knowledge representation and reasoning · 67% Language models and text generation · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › commonsense reasoning
commonsense evaluation
0.812024
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures · ACL (1) 2024
Knowledge, reasoning and agents › Knowledge representation and reasoning
commonsense reasoning
0.812024
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures · ACL (1) 2024
Natural language and speech › Language models and text generation
large language model evaluation
0.812024
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures · ACL (1) 2024

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

probabilistic measures · 0.8
YearPublicationVenuePosition
2024 Every Answer Matters: Evaluating Commonsense with Probabilistic Measures
abstract
Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O’Gorman, Nalini Singh, Andrew McCallum, Xiang Li. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.
Michael Boratko, Pranay Kumar Yelugam, Tim O'Gorman, Nalini Singh, Andrew McCallum, Xiang Li 0069
ACL (1)5