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Daniel Matos

dblp:234/3736 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

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
Planning, search and constraint satisfaction · 33% Language models and text generation · 33% Vision and language · 33%

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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
geospatial reasoning
0.912025
TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route · EMNLP 2025
Natural language and speech › Language models and text generation
large language model evaluation
0.912025
TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route · EMNLP 2025
Computer vision › Vision and language
spatial reasoning benchmark
0.912025
TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route · EMNLP 2025

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

benchmark construction · 0.9
YearPublicationVenuePosition
2025 TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route
abstract
Hongyi Luo, Qing Cheng, Daniel Matos, Hari Krishna Gadi, Yanfeng Zhang, Lu Liu, Yongliang Wang, Niclas Zeller, Daniel Cremers, Liqiu Meng. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.
Hongyi Luo, Qing Cheng 0001, Daniel Matos, Hari Krishna Gadi, Yanfeng Zhang 0004, Niclas Zeller, Daniel Cremers, Liqiu Meng
EMNLP3
2018 Feature selection algorithm recommendation for gene expression data through gradient boosting and neural network metamodels
Robert Aduviri, Daniel Matos, Edwin Villanueva
BIBM2