VLDB 2026 Research / reviewers in the wild / expert
Trush Shashank More
dblp:427/0131
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none
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% Trustworthy machine learning · 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 |
1.0 | 1 | 2026 | Common to Whom? Regional Cultural Commonsense and LLM Bias in India · ACL (1) 2026 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › commonsense reasoning
cultural commonsense |
1.0 | 1 | 2026 | Common to Whom? Regional Cultural Commonsense and LLM Bias in India · ACL (1) 2026 |
Machine learning › Trustworthy machine learning
fairness |
1.0 | 1 | 2026 | Common to Whom? Regional Cultural Commonsense and LLM Bias in India · ACL (1) 2026 |
Methods — techniques the papers use, named apart from their topics
large language model · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Common to Whom? Regional Cultural Commonsense and LLM Bias in IndiaabstractSangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, Renata Dividino, Jad Kabbara, Ali Emami. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026. Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, Renata Queiroz Dividino, Jad Kabbara, Ali Emami |
ACL (1) | 2 |