Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2404.18864
Cited By
Performance-Aligned LLMs for Generating Fast Code
29 April 2024
Daniel Nichols
Pranav Polasam
Harshitha Menon
Aniruddha Marathe
T. Gamblin
A. Bhatele
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Performance-Aligned LLMs for Generating Fast Code"
8 / 8 papers shown
Title
Can Large Language Models Predict Parallel Code Performance?
Gregory Bolet
Giorgis Georgakoudis
Harshitha Menon
K. Parasyris
N. Hasabnis
Hayden Estes
Kirk W. Cameron
Gal Oren
26
0
0
06 May 2025
A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future
Jialun Zhong
Wei Shen
Yanzeng Li
Songyang Gao
Hua Lu
Yicheng Chen
Yang Zhang
Wei Zhou
Jinjie Gu
Lei Zou
LRM
38
1
0
12 Apr 2025
KernelBench: Can LLMs Write Efficient GPU Kernels?
Anne Ouyang
Simon Guo
Simran Arora
Alex L. Zhang
William Hu
Christopher Ré
Azalia Mirhoseini
ALM
38
1
0
14 Feb 2025
HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages
Aman Chaturvedi
Daniel Nichols
Siddharth Singh
A. Bhatele
75
1
0
19 Dec 2024
Can we learn from developer mistakes? Learning to localize and repair real bugs from real bug fixes
Cedric Richter
Heike Wehrheim
14
8
0
01 Jul 2022
Grounded Copilot: How Programmers Interact with Code-Generating Models
Shraddha Barke
M. James
Nadia Polikarpova
136
212
0
30 Jun 2022
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
273
1,561
0
18 Sep 2019
1