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09/11/2023
Large Language Models for Compiler Optimization
We explore the novel application of Large Language Models to code optimi...
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08/24/2023
Code Llama: Open Foundation Models for Code
We release Code Llama, a family of large language models for code based ...
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04/20/2023
Leveraging Static Analysis for Bug Repair
We propose a method combining machine learning with a static analysis to...
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02/27/2023
LLaMA: Open and Efficient Foundation Language Models
We introduce LLaMA, a collection of foundation language models ranging f...
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02/15/2023
Augmented Language Models: a Survey
This survey reviews works in which language models (LMs) are augmented w...
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06/30/2022
Code Translation with Compiler Representations
In this paper, we leverage low-level compiler intermediate representatio...
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10/13/2021
Leveraging Automated Unit Tests for Unsupervised Code Translation
With little to no parallel data available for programming languages, uns...
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02/15/2021
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Recent advances in self-supervised learning have dramatically improved t...
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10/08/2020
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking
Existing studies in black-box optimization suffer from low generalizabil...
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09/28/2020
EvolGAN: Evolutionary Generative Adversarial Networks
We propose to use a quality estimator and evolutionary methods to search...
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09/25/2020
Tarsier: Evolving Noise Injection in Super-Resolution GANs
Super-resolution aims at increasing the resolution and level of detail w...
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06/05/2020
Unsupervised Translation of Programming Languages
A transcompiler, also known as source-to-source translator, is a system ...
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04/29/2020
Versatile Black-Box Optimization
Choosing automatically the right algorithm using problem descriptors is ...
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02/10/2020
Adversarial Attacks on Linear Contextual Bandits
Contextual bandit algorithms are applied in a wide range of domains, fro...
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01/27/2020