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LLM as Runtime Error Handler: A Promising Pathway to Adaptive
  Self-Healing of Software Systems

LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems

2 August 2024
Zhensu Sun
Haotian Zhu
Bowen Xu
Xiaoning Du
Yizhe Zhu
David Lo
ArXivPDFHTML

Papers citing "LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems"

5 / 5 papers shown
Title
SandboxEval: Towards Securing Test Environment for Untrusted Code
SandboxEval: Towards Securing Test Environment for Untrusted Code
Rafiqul Rabin
Jesse Hostetler
Sean McGregor
Brett Weir
Nick Judd
ELM
41
0
0
27 Mar 2025
Creating and Repairing Robot Programs in Open-World Domains
Creating and Repairing Robot Programs in Open-World Domains
Claire Schlesinger
Arjun Guha
Joydeep Biswas
29
0
0
24 Oct 2024
Training language models to follow instructions with human feedback
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
333
12,003
0
04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
213
1,661
0
15 Oct 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
150
674
0
24 Jan 2021
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