2 citations · 3 across the 5 of their papers we have counts for
6 papers
Citations Are Late: Reading epistemic instability from what papers believe, years before the citation graph catches up
Andrey Ustyuzhanin, Ekaterina Trofimova, Denis Zuenko
Paradigm shifts in science are visible in what researchers assert and contest before they are visible in the citation graph. We ask whether a cheap, content-level signal of epistem…
ML2B: Benchmarking LLMs on Cross-Lingual ML Pipeline Generation
Ekaterina Trofimova, Zosia Shamina, Maria Selifanova +7
We introduce ML2B, the first benchmark for evaluating cross-lingual task comprehension in end-to-end ML pipeline generation by large language models. Despite growing global AI adop…
CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers
Ekaterina Trofimova, Emil Sataev, Abhijit Singh Jowhari
This paper presents CodeRefine, a novel framework for automatically transforming research paper methodologies into functional code using Large Language Models (LLMs). Our multi-ste…
Linguacodus: A Synergistic Framework for Transformative Code Generation in Machine Learning Pipelines
Ekaterina Trofimova, Emil Sataev, Andrey E. Ustyuzhanin
In the ever-evolving landscape of machine learning, seamless translation of natural language descriptions into executable code remains a formidable challenge. This paper introduces…
Code4ML: a Large-scale Dataset of annotated Machine Learning Code
Anastasia Drozdova, Polina Guseva, Ekaterina Trofimova +2
Program code as a data source is gaining popularity in the data science community. Possible applications for models trained on such assets range from classification for data dimens…
Segmentation of EM showers for neutrino experiments with deep graph neural networks
Vladislav Belavin, Ekaterina Trofimova, Andrey Ustyuzhanin
We introduce a first-ever algorithm for the reconstruction of multiple showers from the data collected with electromagnetic (EM) sampling calorimeters. Such detectors are widely us…