8 citations · 19 across the 7 of their papers we have counts for
4 papers · 1 filter
EvoMem: Memory-Augmented Evolution for Code Optimization
Viktor Volkov, Valentin Khrulkov, Andrey V. Galichin +8
Successful mutation strategies in evolutionary code search may contain reusable knowledge that is useful beyond a single run, and in some cases may transfer across related tasks an…
Search, Fail, Recover: A Training Framework for Correction-Aware Reasoning
Dmitry Beresnev, Vladimir Makharev, Roman Khalikov +2
Many reasoning tasks are not well described by a single left-to-right chain: a solver may need to pursue a plausible branch, observe delayed failure, and return to the latest prefi…
HeroBench: A Benchmark for Long-Horizon Planning and Structured Reasoning in Virtual Worlds
Petr Anokhin, Roman Khalikov, Stefan Rebrikov +3
Large language models (LLMs) perform well on step-by-step reasoning benchmarks such as mathematics and code generation, yet their ability to carry out robust long-horizon planning…
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents
Petr Anokhin, Nikita Semenov, Artyom Sorokin +4
Advancements in the capabilities of Large Language Models (LLMs) have created a promising foundation for developing autonomous agents. With the right tools, these agents could lear…