Demo Data from SIGIR 2026 / reviewers in the wild / expert
Pranay Kumar Yelugam
dblp:304/3218
· 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
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning › commonsense reasoning
commonsense evaluation |
0.8 | 1 | 2024 | Every Answer Matters: Evaluating Commonsense with Probabilistic Measures · ACL (1) 2024 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
commonsense reasoning |
0.8 | 1 | 2024 | Every Answer Matters: Evaluating Commonsense with Probabilistic Measures · ACL (1) 2024 |
Natural language and speech › Language models and text generation
large language model evaluation |
0.8 | 1 | 2024 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Every Answer Matters: Evaluating Commonsense with Probabilistic MeasuresabstractQi 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) | 3 |
| 2022 | DISAPERE: A Dataset for Discourse Structure in Peer Review DiscussionsabstractNeha Kennard, Tim O’Gorman, Rajarshi Das, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Hamed Zamani, Andrew McCallum. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022. Neha Nayak Kennard, Tim O'Gorman, Rajarshi Das, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Hamed Zamani, Andrew McCallum |
NAACL-HLT | 7 |