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Explain-then-Translate: An Analysis on Improving Program Translation
  with Self-generated Explanations

Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations

13 November 2023
Zilu Tang
Mayank Agarwal
Alex Shypula
Bailin Wang
Derry Wijaya
Jie Chen
Yoon Kim
    LRM
ArXivPDFHTML

Papers citing "Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations"

17 / 17 papers shown
Title
LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness
LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness
Tong Ye
Weigang Huang
X. Zhang
Tengfei Ma
Peiyu Liu
Jianwei Yin
Wenhai Wang
LLMAG
45
2
0
17 Feb 2025
Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
Xing Zhang
Jiaheng Wen
Fangkai Yang
Pu Zhao
Yu Kang
...
Qingwei Lin
Yingnong Dang
Saravan Rajmohan
Dongmei Zhang
Qi Zhang
53
2
0
28 Jan 2025
Planning-Driven Programming: A Large Language Model Programming Workflow
Planning-Driven Programming: A Large Language Model Programming Workflow
Chao Lei
Yanchuan Chang
N. Lipovetzky
Krista A. Ehinger
81
1
0
10 Jan 2025
Identify Critical Nodes in Complex Network with Large Language Models
Identify Critical Nodes in Complex Network with Large Language Models
Jinzhu Mao
Dongyun Zou
Li Sheng
Siyi Liu
Chen Gao
Yue Wang
Yong Li
37
3
0
01 Mar 2024
Debug like a Human: A Large Language Model Debugger via Verifying
  Runtime Execution Step-by-step
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step
Li Zhong
Zilong Wang
Jingbo Shang
19
47
0
25 Feb 2024
Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language
  Conversion for Language Models
Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models
Yile Wang
Sijie Cheng
Zixin Sun
Peng Li
Yang Janet Liu
ReLM
LRM
17
4
0
22 Jan 2024
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
204
498
0
03 May 2023
Multi-lingual Evaluation of Code Generation Models
Multi-lingual Evaluation of Code Generation Models
Ben Athiwaratkun
Sanjay Krishna Gouda
Zijian Wang
Xiaopeng Li
Yuchen Tian
...
Baishakhi Ray
Parminder Bhatia
Sudipta Sengupta
Dan Roth
Bing Xiang
ELM
109
117
0
26 Oct 2022
FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text
  Rationales
FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text Rationales
Aaron Chan
Shaoliang Nie
Liang Tan
Xiaochang Peng
Hamed Firooz
Maziar Sanjabi
Xiang Ren
35
9
0
02 Jul 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
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
301
11,730
0
04 Mar 2022
A Systematic Evaluation of Large Language Models of Code
A Systematic Evaluation of Large Language Models of Code
Frank F. Xu
Uri Alon
Graham Neubig
Vincent J. Hellendoorn
ELM
ALM
196
624
0
26 Feb 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
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
274
1,114
0
18 Apr 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Baptiste Roziere
Marie-Anne Lachaux
Marc Szafraniec
Guillaume Lample
AI4CE
44
53
0
15 Feb 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu
Daya Guo
Shuo Ren
Junjie Huang
Alexey Svyatkovskiy
...
Nan Duan
Neel Sundaresan
Shao Kun Deng
Shengyu Fu
Shujie Liu
ELM
190
853
0
09 Feb 2021
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
274
170
0
24 Oct 2020
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