ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.14502
  4. Cited By
Language Models Can Teach Themselves to Program Better

Language Models Can Teach Themselves to Program Better

29 July 2022
Patrick M. Haluptzok
Matthew Bowers
Adam Tauman Kalai
    ReLM
    SyDa
    LRM
ArXivPDFHTML

Papers citing "Language Models Can Teach Themselves to Program Better"

23 / 23 papers shown
Title
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
Yifeng Di
Tianyi Zhang
26
0
0
12 May 2025
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling
Yiwen Ding
Zhiheng Xi
Wei He
Zhuoyuan Li
Yitao Zhai
Xiaowei Shi
Xunliang Cai
Tao Gui
Qi Zhang
Xuanjing Huang
LRM
75
3
0
24 Feb 2025
Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization
Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization
Yuanye Liu
Jiahang Xu
Li Zhang
Qi Chen
Xuan Feng
Yang Chen
Zhongxin Guo
Yuqing Yang
Cheng Peng
84
2
0
06 Feb 2025
Mastering the Craft of Data Synthesis for CodeLLMs
Mastering the Craft of Data Synthesis for CodeLLMs
Meng Chen
Philip Arthur
Qianyu Feng
Cong Duy Vu Hoang
Yu-Heng Hong
...
Mark Johnson
Kemal Kurniawan
Don Dharmasiri
Long Duong
Yuan-Fang Li
SyDa
60
1
0
16 Oct 2024
Synthesizing Interpretable Control Policies through Large Language Model Guided Search
Synthesizing Interpretable Control Policies through Large Language Model Guided Search
Carlo Bosio
Mark W. Mueller
26
0
0
07 Oct 2024
Learning Program Behavioral Models from Synthesized Input-Output Pairs
Learning Program Behavioral Models from Synthesized Input-Output Pairs
Tural Mammadov
Dietrich Klakow
Alexander Koller
Andreas Zeller
45
3
0
11 Jul 2024
A Survey Study on the State of the Art of Programming Exercise
  Generation using Large Language Models
A Survey Study on the State of the Art of Programming Exercise Generation using Large Language Models
Eduard Frankford
Ingo Höhn
Clemens Sauerwein
Ruth Breu
ELM
39
2
0
30 May 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Parshin Shojaee
Kazem Meidani
Shashank Gupta
A. Farimani
Chandan K. Reddy
42
15
0
29 Apr 2024
Self-Training Large Language Models for Improved Visual Program
  Synthesis With Visual Reinforcement
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement
Zaid Khan
B. Vijaykumar
S. Schulter
Yun Fu
Manmohan Chandraker
LRM
ReLM
34
6
0
06 Apr 2024
Puzzle Solving using Reasoning of Large Language Models: A Survey
Puzzle Solving using Reasoning of Large Language Models: A Survey
Panagiotis Giadikiaroglou
Maria Lymperaiou
Giorgos Filandrianos
Giorgos Stamou
ELM
ReLM
LRM
19
24
0
17 Feb 2024
AI capabilities can be significantly improved without expensive
  retraining
AI capabilities can be significantly improved without expensive retraining
Tom Davidson
Jean-Stanislas Denain
Pablo Villalobos
Guillem Bas
OffRL
VLM
26
26
0
12 Dec 2023
Configuration Validation with Large Language Models
Configuration Validation with Large Language Models
Xinyu Lian
Yinfang Chen
Runxiang Cheng
Jie Huang
Parth Thakkar
Minjia Zhang
Tianyin Xu
21
10
0
15 Oct 2023
SelfEvolve: A Code Evolution Framework via Large Language Models
SelfEvolve: A Code Evolution Framework via Large Language Models
Shuyang Jiang
Yuhao Wang
Yu Wang
24
32
0
05 Jun 2023
LeTI: Learning to Generate from Textual Interactions
LeTI: Learning to Generate from Textual Interactions
Xingyao Wang
Hao Peng
Reyhaneh Jabbarvand
Heng Ji
35
30
0
17 May 2023
Language Model Crossover: Variation through Few-Shot Prompting
Language Model Crossover: Variation through Few-Shot Prompting
Elliot Meyerson
M. Nelson
Herbie Bradley
Adam Gaier
Arash Moradi
Amy K. Hoover
Joel Lehman
VLM
40
79
0
23 Feb 2023
I2D2: Inductive Knowledge Distillation with NeuroLogic and
  Self-Imitation
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation
Chandra Bhagavatula
Jena D. Hwang
Doug Downey
Ronan Le Bras
Ximing Lu
Lianhui Qin
Keisuke Sakaguchi
Swabha Swayamdipta
Peter West
Yejin Choi
23
34
0
19 Dec 2022
Will we run out of data? Limits of LLM scaling based on human-generated
  data
Will we run out of data? Limits of LLM scaling based on human-generated data
Pablo Villalobos
A. Ho
J. Sevilla
T. Besiroglu
Lennart Heim
Marius Hobbhahn
ALM
35
111
0
26 Oct 2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep
  Reinforcement Learning
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
Hung Le
Yue Wang
Akhilesh Deepak Gotmare
Silvio Savarese
Guosheng Lin
SyDa
ALM
132
240
0
05 Jul 2022
Automatic Generation of Programming Exercises and Code Explanations
  using Large Language Models
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models
Sami Sarsa
Paul Denny
Arto Hellas
Juho Leinonen
ELM
99
342
0
03 Jun 2022
Non-Programmers Can Label Programs Indirectly via Active Examples: A
  Case Study with Text-to-SQL
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL
Ruiqi Zhong
Charles Burton Snell
Dan Klein
Jason Eisner
21
8
0
25 May 2022
Measuring Coding Challenge Competence With APPS
Measuring Coding Challenge Competence With APPS
Dan Hendrycks
Steven Basart
Saurav Kadavath
Mantas Mazeika
Akul Arora
...
Collin Burns
Samir Puranik
Horace He
D. Song
Jacob Steinhardt
ELM
AIMat
ALM
208
627
0
20 May 2021
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu
M. Rabe
Wenda Li
Jimmy Ba
Roger C. Grosse
Christian Szegedy
AIMat
LRM
75
51
0
15 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
279
1,996
0
31 Dec 2020
1