14 citations · 24 across the 11 of their papers we have counts for
4 papers · 1 filter
Mo' Models, Mo' Problems: How to best select model pools when designing Multi-Agent Systems
Sara Vera Marjanović, Jiacheng Xu, Aleksandr Laptev +3
Multi-agent Systems (MAS) combine multiple model outputs to solve complex reasoning tasks. However, despite rapid growth of available open-source models, there is limited research…
From Zero to Hero: An Open LLM Ecosystem for Armenian
Erik Arakelyan, Khatun Avetisyan, Meri Davtyan +5
Pretraining data for Armenian, a morphologically rich and low-resource language, is scarce, and no open Armenian LLM has been released with the data and recipe needed to reproduce…
More Yap Less Meaning: Uncovering Self-Improvement Behavior in SLMs
Marina Igitkhanian, Erik Arakelyan
Recently, language models have made rapid progress across various domains and applications. However, their capability for self-improvement, i.e., whether they are adept at recognis…
SHERLOC: Structured Diagnostic Localization for Code Repair Agents
Hovhannes Tamoyan, Sean Narenthiran, Erik Arakelyan +2
LLM agents solve repository-level coding tasks through multi-turn tool use, but utilize half their budget on locating faults before editing. Dedicated localization frameworks have…