RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot

10 January 2025

Papers citing "RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot"

11 / 11 papers shown

Title
Efficient Domain-adaptive Continual Pretraining for the Process Industry in the German Language Anastasia Zhukova Christian E. Matt Terry Ruas Bela Gipp CLL VLM 98 0 0 28 Apr 2025
Investigating Execution-Aware Language Models for Code Optimization Federico Di Menna Luca Traini Gabriele Bavota Vittorio Cortellessa 61 0 0 11 Mar 2025
Search-Based LLMs for Code Optimization Shuzheng Gao Cuiyun Gao Wenchao Gu Michael Lyu 26 8 0 22 Aug 2024
A Performance Study of LLM-Generated Code on Leetcode Tristan Coignion Clément Quinton Romain Rouvoy 40 25 0 31 Jul 2024
DCA-Bench: A Benchmark for Dataset Curation Agents Benhao Huang Yingzhuo Yu Jin Huang Xingjian Zhang Jiaqi Ma 28 1 0 11 Jun 2024
Supersonic: Learning to Generate Source Code Optimizations in C/C++ Zimin Chen Sen Fang Monperrus Martin 30 11 0 26 Sep 2023
ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching M. Tol B. Sunar 30 5 0 24 Aug 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,448 0 28 Jan 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 277 1,117 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,843 0 18 Apr 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 406 2,584 0 03 Sep 2019