2 citations · 4 across the 4 of their papers we have counts for
4 papers
Merge-Bench: Resolve Merge Conflicts with Large Language Models
Benedikt Schesch, Michael D. Ernst
This paper applies machine learning to the difficult and important task of version control merging. (1) We constructed a dataset, Merge-Bench, of 7938 real-world merge conflict hun…
Evaluation of Version Control Merge Tools
Benedikt Schesch, Ryan Featherman, Kenneth J. Yang +2
A version control system, such as Git, requires a way to integrate changes from different developers or branches. Given a merge scenario, a merge tool either outputs a clean integr…
Large Scale Constrained Clustering With Reinforcement Learning
Benedikt Schesch, Marco Caserta
Given a network, allocating resources at clusters level, rather than at each node, enhances efficiency in resource allocation and usage. In this paper, we study the problem of find…
Agent-based Graph Neural Networks
Karolis Martinkus, Pál András Papp, Benedikt Schesch +1
We present a novel graph neural network we call AgentNet, which is designed specifically for graph-level tasks. AgentNet is inspired by sublinear algorithms, featuring a computatio…