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Demo Data from VLDB 2026 / reviewers in the wild / expert

Dae Kyoo Kim

dblp:432/7732 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0008-4570-3304ORCID · reported

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

Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 · 67% Efficient and distributed learning · 33%

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › mathematical reasoning
mathematical problem solving		 1.012026
ReMi-ReMath: A Reverse-Mutual Reasoning Framework for Enhancing Mathematical Thinking in Small Language Models · WWW 2026
Natural language and speech › Language models and text generation
mathematical reasoning		 1.012026
ReMi-ReMath: A Reverse-Mutual Reasoning Framework for Enhancing Mathematical Thinking in Small Language Models · WWW 2026
Machine learning › Efficient and distributed learning › model compression › lightweight neural network
small language models		 1.012026
ReMi-ReMath: A Reverse-Mutual Reasoning Framework for Enhancing Mathematical Thinking in Small Language Models · WWW 2026

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

reverse reasoning · 1.0mutual reasoning · 1.0
YearPublicationVenuePosition
2026 ReMi-ReMath: A Reverse-Mutual Reasoning Framework for Enhancing Mathematical Thinking in Small Language Models
Dae Kyoo Kim, Sang Kyu Moon, Eunil Park
 WWW1