Egor Bogomolov

42 papers A* 3A 4Journal 29Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Protecting Private Code in IDE Autocomplete using Differential Privacy. CoRR Evgeny Grigorenko, David Stanojevic, David Ilic, Egor Bogomolov, Kostadin Cvejoski
2025	—	`conf`	Challenge on Optimization of Context Collection for Code Completion. ASEW Dmitry Ustalov, Egor Bogomolov, Alexander Bezzubov, Yaroslav Golubev, Evgeniy Glukhov, Georgii Levtsov, Vladimir Kovalenko
2025	J	`jnl`	Challenge on Optimization of Context Collection for Code Completion. CoRR Dmitry Ustalov, Egor Bogomolov, Alexander Bezzubov, Yaroslav Golubev, Evgeniy Glukhov, Georgii Levtsov, Vladimir Kovalenko
2025	J	`jnl`	Diff-XYZ: A Benchmark for Evaluating Diff Understanding. CoRR Evgeniy Glukhov, Michele Conti, Egor Bogomolov, Yaroslav Golubev, Alexander Bezzubov
2025	A	`conf`	Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code. MSR Timur Galimzyanov, Sergey Titov, Yaroslav Golubev, Egor Bogomolov
2025	J	`jnl`	EnvBench: A Benchmark for Automated Environment Setup. CoRR Aleksandra Eliseeva, Alexander Kovrigin, Ilia Kholkin, Egor Bogomolov, Yaroslav Zharov
2025	J	`jnl`	GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git. CoRR Tobias Lindenbauer, Egor Bogomolov, Yaroslav Zharov
2025	J	`jnl`	PIPer: On-Device Environment Setup via Online Reinforcement Learning. CoRR Alexander Kovrigin, Aleksandra Eliseeva, Konstantin Grotov, Egor Bogomolov, Yaroslav Zharov
2025	J	`jnl`	Practical Code RAG at Scale: Task-Aware Retrieval Design Choices under Compute Budgets. CoRR Timur Galimzyanov, Olga Kolomyttseva, Egor Bogomolov
2025	J	`jnl`	The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation. CoRR Farid Bagirov, Mikhail Arkhipov, Ksenia Sycheva, Evgeniy Glukhov, Egor Bogomolov
2025	J	`jnl`	The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management. CoRR Tobias Lindenbauer, Igor Slinko, Ludwig Felder, Egor Bogomolov, Yaroslav Zharov
2025	A*	`conf`	TreeRanker: Fast and Model-Agnostic Ranking System for Code Suggestions in IDEs. ASE Daniele Cipollone, Egor Bogomolov, Arie van Deursen, Maliheh Izadi
2025	J	`jnl`	TreeRanker: Fast and Model-agnostic Ranking System for Code Suggestions in IDEs. CoRR Daniele Cipollone, Egor Bogomolov, Arie van Deursen, Maliheh Izadi
2024	J	`jnl`	Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code. CoRR Timur Galimzyanov, Sergey Titov, Yaroslav Golubev, Egor Bogomolov
2024	—	`conf`	EM-Assist: Safe Automated ExtractMethod Refactoring with LLMs. SIGSOFT FSE Companion Dorin Pomian, Abhiram Bellur, Malinda Dilhara, Zarina Kurbatova, Egor Bogomolov, Andrey Sokolov, Timofey Bryksin, Danny Dig
2024	J	`jnl`	EM-Assist: Safe Automated ExtractMethod Refactoring with LLMs. CoRR Dorin Pomian, Abhiram Bellur, Malinda Dilhara, Zarina Kurbatova, Egor Bogomolov, Andrey Sokolov, Timofey Bryksin, Danny Dig
2024	J	`jnl`	Kotlin ML Pack: Technical Report. CoRR Sergey Titov, Mikhail Evtikhiev, Anton Shapkin, Oleg Smirnov, Sergei Boytsov, Dariia Karaeva, Maksim Sheptyakov, Mikhail Arkhipov, Timofey Bryksin, Egor Bogomolov
2024	J	`jnl`	Long Code Arena: a Set of Benchmarks for Long-Context Code Models. CoRR Egor Bogomolov, Aleksandra Eliseeva, Timur Galimzyanov, Evgeniy Glukhov, Anton Shapkin, Maria Tigina, Yaroslav Golubev, Alexander Kovrigin, Arie van Deursen, Maliheh Izadi, Timofey Bryksin
2024	A	`conf`	Next-Generation Refactoring: Combining LLM Insights and IDE Capabilities for Extract Method. ICSME Dorin Pomian, Abhiram Bellur, Malinda Dilhara, Zarina Kurbatova, Egor Bogomolov, Timofey Bryksin, Danny Dig
2024	J	`jnl`	Together We Go Further: LLMs and IDE Static Analysis for Extract Method Refactoring. CoRR Dorin Pomian, Abhiram Bellur, Malinda Dilhara, Zarina Kurbatova, Egor Bogomolov, Timofey Bryksin, Danny Dig
2024	J	`jnl`	Tool-Augmented LLMs as a Universal Interface for IDEs. CoRR Yaroslav Zharov, Yury Khudyakov, Evgeniia Fedotova, Evgeny Grigorenko, Egor Bogomolov
2024	—	`conf`	Tool-augmented LLMs as a Universal Interface for IDEs. IDE@ICSE Yaroslav Zharov, Yury Khudyakov, Evgeniia Fedotova, Evgeny Grigorenko, Egor Bogomolov
2023	A*	`conf`	From Commit Message Generation to History-Aware Commit Message Completion. ASE Aleksandra Eliseeva, Yaroslav Sokolov, Egor Bogomolov, Yaroslav Golubev, Danny Dig, Timofey Bryksin
2023	J	`jnl`	From Commit Message Generation to History-Aware Commit Message Completion. CoRR Aleksandra Eliseeva, Yaroslav Sokolov, Egor Bogomolov, Yaroslav Golubev, Danny Dig, Timofey Bryksin
2023	J	`jnl`	Out of the BLEU: How should we assess quality of the Code Generation models? J. Syst. Softw. Mikhail Evtikhiev, Egor Bogomolov, Yaroslav Sokolov, Timofey Bryksin
2023	J	`jnl`	Predicting Tags For Programming Tasks by Combining Textual And Source Code Data. CoRR Artyom Lobanov, Egor Bogomolov, Yaroslav Golubev, Mikhail Mirzayanov, Timofey Bryksin
2022	J	`jnl`	Assessing Project-Level Fine-Tuning of ML4SE Models. CoRR Egor Bogomolov, Sergey Zhuravlev, Egor Spirin, Timofey Bryksin
2022	J	`jnl`	Evaluating the Impact of Source Code Parsers on ML4SE Models. CoRR Ilya Utkin, Egor Spirin, Egor Bogomolov, Timofey Bryksin
2022	J	`jnl`	Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection. CoRR Maksim Zubkov, Egor Spirin, Egor Bogomolov, Timofey Bryksin
2022	J	`jnl`	Out of the BLEU: how should we assess quality of the Code Generation models? CoRR Mikhail Evtikhiev, Egor Bogomolov, Yaroslav Sokolov, Timofey Bryksin
2022	J	`jnl`	So Much in So Little: Creating Lightweight Embeddings of Python Libraries. CoRR Yaroslav Golubev, Egor Bogomolov, Egor Bulychev, Timofey Bryksin
2021	—	`conf`	Authorship attribution of source code: a language-agnostic approach and applicability in software engineering. ESEC/SIGSOFT FSE Egor Bogomolov, Vladimir Kovalenko, Yurii Rebryk, Alberto Bacchelli, Timofey Bryksin
2021	A	`conf`	PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code. MSR Egor Spirin, Egor Bogomolov, Vladimir Kovalenko, Timofey Bryksin
2021	J	`jnl`	PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code. CoRR Egor Spirin, Egor Bogomolov, Vladimir Kovalenko, Timofey Bryksin
2021	J	`jnl`	Unsupervised Learning of General-Purpose Embeddings for Code Changes. CoRR Mikhail Pravilov, Egor Bogomolov, Yaroslav Golubev, Timofey Bryksin
2021	—	`conf`	Unsupervised learning of general-purpose embeddings for code changes. MaLTeSQuE@ESEC/SIGSOFT FSE Mikhail Pravilov, Egor Bogomolov, Yaroslav Golubev, Timofey Bryksin
2020	J	`jnl`	Authorship Attribution of Source Code: A Language-Agnostic Approach and Applicability in Software Engineering. CoRR Egor Bogomolov, Vladimir Kovalenko, Alberto Bacchelli, Timofey Bryksin
2020	—	`conf`	Building Implicit Vector Representations of Individual Coding Style. ICSE (Workshops) Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, Alberto Bacchelli
2020	J	`jnl`	Building Implicit Vector Representations of Individual Coding Style. CoRR Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, Alberto Bacchelli
2020	A*	`conf`	Sosed: a tool for finding similar software projects. ASE Egor Bogomolov, Yaroslav Golubev, Artyom Lobanov, Vladimir Kovalenko, Timofey Bryksin
2020	J	`jnl`	Sosed: a tool for finding similar software projects. CoRR Egor Bogomolov, Yaroslav Golubev, Artyom Lobanov, Vladimir Kovalenko, Timofey Bryksin
2019	A	`conf`	PathMiner: a library for mining of path-based representations of code. MSR Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, Alberto Bacchelli

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.