EDBT 2026 Demo / reviewers in the wild / expert

Arina Kharlamova

dblp:362/2104 · also Arina Cheverda · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0001-7620-8567ORCID · verified

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

Artificial intelligence and machine learning · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021Databases, data management, data science and information retrieval · 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.

Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
GPUs and heterogeneous computing · 100%
Artificial intelligence
1 paper
Language models and text generation · 100%

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

TopicWeightPapersLastEvidence papers
Compilers and program optimization › program transformation
source-to-source transformation		 1.012026
CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark · ACL (1) 2026
GPUs and heterogeneous computing
GPU programming		 1.012026
CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark · ACL (1) 2026
Natural language and speech › Language models and text generation
code generation		 0.312026
CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark · ACL (1) 2026

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

large language model · 3.0
YearPublicationVenuePosition
2026 CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark
abstract
Ahmed Heakl, Gustavo Bertolo Stahl, Sarim Hashmi, Seung Hun Eddie Han, Mukul Ranjan, Arina Kharlamova, Salman Khan, Abdulrahman Mahmoud. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Ahmed Heakl, Gustavo Bertolo Stahl, Sarim Hashmi, Seung Hun Eddie Han, Mukul Ranjan, Arina Kharlamova, Salman Khan 0001, Abdulrahman Mahmoud
 ACL (1)6
2022 Automatically Prioritizing and Assigning Tasks from Code Repositories in Puzzle Driven Development
abstract
Automatically prioritizing software development tasks extracted from codes could provide significant technical and organizational advantages. Tools exist for the automatic extraction of tasks, but they still lack the ability to capture their mutual dependencies; hence, the capability to prioritize them. Solving this important puzzle is the goal of the presented industrial challenge.
Yegor Bugayenko 0001, Ayomide Bakare, Arina Kharlamova, Mirko Farina, Artem V. Kruglov, Yaroslav Plaksin, Giancarlo Succi, Witold Pedrycz
 MSR3