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CodeGen: An Open Large Language Model for Code with Multi-Turn Program
  Synthesis

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

25 March 2022
Erik Nijkamp
Bo Pang
Hiroaki Hayashi
Lifu Tu
Haiquan Wang
Yingbo Zhou
Silvio Savarese
Caiming Xiong
    ELM
ArXivPDFHTML

Papers citing "CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis"

50 / 595 papers shown
Title
Responsible Multilingual Large Language Models: A Survey of Development,
  Applications, and Societal Impact
Responsible Multilingual Large Language Models: A Survey of Development, Applications, and Societal Impact
Junhua Liu
Bin Fu
LRM
16
1
0
23 Oct 2024
Understanding Layer Significance in LLM Alignment
Understanding Layer Significance in LLM Alignment
Guangyuan Shi
Zexin Lu
Xiaoyu Dong
Wenlong Zhang
Xuanyu Zhang
Yujie Feng
Xiao-Ming Wu
38
2
0
23 Oct 2024
Semantic-guided Search for Efficient Program Repair with Large Language
  Models
Semantic-guided Search for Efficient Program Repair with Large Language Models
Thanh Le-Cong
Bach Le
Toby Murray
18
0
0
22 Oct 2024
Self-Explained Keywords Empower Large Language Models for Code
  Generation
Self-Explained Keywords Empower Large Language Models for Code Generation
Lishui Fan
Mouxiang Chen
Zhongxin Liu
31
1
0
21 Oct 2024
Improving Parallel Program Performance with LLM Optimizers via Agent-System Interface
Improving Parallel Program Performance with LLM Optimizers via Agent-System Interface
Anjiang Wei
Allen Nie
Thiago S. F. X. Teixeira
Rohan Yadav
Wonchan Lee
Ke Wang
Alex Aiken
16
0
0
21 Oct 2024
GlitchMiner: Mining Glitch Tokens in Large Language Models via
  Gradient-based Discrete Optimization
GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization
Zihui Wu
Haichang Gao
Ping Wang
Shudong Zhang
Zhaoxiang Liu
Shiguo Lian
16
0
0
19 Oct 2024
Think Thrice Before You Act: Progressive Thought Refinement in Large
  Language Models
Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
Chengyu Du
Jinyi Han
Yizhou Ying
Aili Chen
Qianyu He
...
Haoran Guo
Jiaqing Liang
Zulong Chen
Liangyue Li
Yanghua Xiao
KELM
CLL
LRM
22
1
0
17 Oct 2024
BenchmarkCards: Large Language Model and Risk Reporting
BenchmarkCards: Large Language Model and Risk Reporting
Anna Sokol
Nuno Moniz
Elizabeth M. Daly
Michael Hind
Nitesh V. Chawla
18
0
0
16 Oct 2024
SoK: Prompt Hacking of Large Language Models
SoK: Prompt Hacking of Large Language Models
Baha Rababah
Shang
Wu
Matthew Kwiatkowski
Carson Leung
Cuneyt Gurcan Akcora
AAML
28
2
0
16 Oct 2024
FVEval: Understanding Language Model Capabilities in Formal Verification
  of Digital Hardware
FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardware
Minwoo Kang
Mingjie Liu
Ghaith Bany Hamad
Syed Suhaib
Haoxing Ren
LRM
11
1
0
15 Oct 2024
Learning from Imperfect Data: Towards Efficient Knowledge Distillation
  of Autoregressive Language Models for Text-to-SQL
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
Qihuang Zhong
Kunfeng Chen
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
24
0
0
15 Oct 2024
FLARE: Faithful Logic-Aided Reasoning and Exploration
FLARE: Faithful Logic-Aided Reasoning and Exploration
Erik Arakelyan
Pasquale Minervini
Pat Verga
Patrick Lewis
Isabelle Augenstein
ReLM
LRM
57
2
0
14 Oct 2024
Balancing Continuous Pre-Training and Instruction Fine-Tuning:
  Optimizing Instruction-Following in LLMs
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs
Ishan Jindal
Chandana Badrinath
Pranjal Bharti
Lakkidi Vinay
Sachin Dev Sharma
CLL
ALM
21
0
0
14 Oct 2024
Generalized Adversarial Code-Suggestions: Exploiting Contexts of
  LLM-based Code-Completion
Generalized Adversarial Code-Suggestions: Exploiting Contexts of LLM-based Code-Completion
Karl Rubel
Maximilian Noppel
Christian Wressnegger
AAML
SILM
13
0
0
14 Oct 2024
DAWN: Designing Distributed Agents in a Worldwide Network
DAWN: Designing Distributed Agents in a Worldwide Network
Zahra Aminiranjbar
Jianan Tang
Qiudan Wang
Shubha Pant
Mahesh Viswanathan
LLMAG
AI4CE
17
1
0
11 Oct 2024
REDO: Execution-Free Runtime Error Detection for COding Agents
REDO: Execution-Free Runtime Error Detection for COding Agents
Shou Li
Andrey Kan
Laurent Callot
Bhavana Bhasker
Muhammad Shihab Rashid
Timothy B Esler
LRM
26
0
0
10 Oct 2024
Mitigating Gender Bias in Code Large Language Models via Model Editing
Mitigating Gender Bias in Code Large Language Models via Model Editing
Z. Qin
Haochuan Wang
Zecheng Wang
Deyuan Liu
Cunhang Fan
Zhao Lv
Zhiying Tu
Dianhui Chu
Dianbo Sui
KELM
16
0
0
10 Oct 2024
LecPrompt: A Prompt-based Approach for Logical Error Correction with
  CodeBERT
LecPrompt: A Prompt-based Approach for Logical Error Correction with CodeBERT
Zhenyu Xu
Victor S. Sheng
KELM
11
0
0
10 Oct 2024
In-Context Code-Text Learning for Bimodal Software Engineering
In-Context Code-Text Learning for Bimodal Software Engineering
Xunzhu Tang
Liran Wang
Yonghui Liu
Linzheng Chai
Jian Yang
Zhoujun Li
Haoye Tian
Jacques Klein
Tegawende F. Bissyande
17
0
0
08 Oct 2024
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
Fatemeh Pesaran Zadeh
Juyeon Kim
Jin-Hwa Kim
Gunhee Kim
ALM
42
1
0
05 Oct 2024
Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for
  Code Generation with Lookahead Planning
Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for Code Generation with Lookahead Planning
Yifeng Ding
Hantian Ding
Shiqi Wang
Qing Sun
Varun Kumar
Zijian Wang
20
2
0
04 Oct 2024
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
Ulyana Piterbarg
Lerrel Pinto
Rob Fergus
SyDa
24
2
0
03 Oct 2024
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
Jipeng Han
27
0
0
02 Oct 2024
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation
  Guidance
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance
Haolin Jin
Zechao Sun
Huaming Chen
LLMAG
41
2
0
02 Oct 2024
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
Tung-Yu Wu
Pei-Yu Lo
ReLM
LRM
40
2
0
02 Oct 2024
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge
  Distillation for Large Language Models in Code Generation
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
Ziyang Luo
Xin Li
Hongzhan Lin
Jing Ma
Lidong Bing
VLM
27
0
0
01 Oct 2024
LayerKV: Optimizing Large Language Model Serving with Layer-wise KV
  Cache Management
LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache Management
Yi Xiong
Hao Wu
Changxu Shao
Ziqing Wang
Rui Zhang
Yuhong Guo
Junping Zhao
Ke Zhang
Zhenxuan Pan
24
1
0
01 Oct 2024
DynEx: Dynamic Code Synthesis with Structured Design Exploration for
  Accelerated Exploratory Programming
DynEx: Dynamic Code Synthesis with Structured Design Exploration for Accelerated Exploratory Programming
Jenny Ma
Karthik Sreedhar
Vivian Liu
Sitong Wang
Pedro Alejandro Perez
Riya Sahni
Lydia B. Chilton
37
1
0
01 Oct 2024
APILOT: Navigating Large Language Models to Generate Secure Code by
  Sidestepping Outdated API Pitfalls
APILOT: Navigating Large Language Models to Generate Secure Code by Sidestepping Outdated API Pitfalls
Weiheng Bai
Keyang Xuan
Pengxiang Huang
Qiushi Wu
Jianing Wen
Jingjing Wu
Kangjie Lu
LLMAG
KELM
14
1
0
25 Sep 2024
RAMBO: Enhancing RAG-based Repository-Level Method Body Completion
RAMBO: Enhancing RAG-based Repository-Level Method Body Completion
Tuan-Dung Bui
Duc-Thieu Luu-Van
Thanh-Phat Nguyen
Thu-Trang Nguyen
Son Nguyen
H. Vo
16
4
0
23 Sep 2024
SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as
  Autonomous Programmer
SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as Autonomous Programmer
Anmol Gautam
Kishore Kumar
Adarsh Jha
Mukunda NS
Ishaan Bhola
41
1
0
17 Sep 2024
AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation
  through Static Analysis and Fuzz Testing
AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing
Ana Nunez
Nafis Tanveer Islam
S. Jha
Peyman Najafirad
LLMAG
21
0
0
16 Sep 2024
B4: Towards Optimal Assessment of Plausible Code Solutions with
  Plausible Tests
B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests
Mouxiang Chen
Zhongxin Liu
He Tao
Yusu Hong
David Lo
Xin Xia
Jianling Sun
19
1
0
13 Sep 2024
HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training
  Data
HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data
Hossein Hajipour
Lea Schönherr
Thorsten Holz
Mario Fritz
AAML
SyDa
21
0
0
10 Sep 2024
HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks
  at Scale
HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale
Huy N. Phan
Phong X. Nguyen
Nghi D. Q. Bui
LLMAG
20
10
0
09 Sep 2024
InstInfer: In-Storage Attention Offloading for Cost-Effective
  Long-Context LLM Inference
InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference
Xiurui Pan
Endian Li
Qiao Li
Shengwen Liang
Yizhou Shan
Ke Zhou
Yingwei Luo
Xiaolin Wang
Jie Zhang
20
10
0
08 Sep 2024
GALLa: Graph Aligned Large Language Models for Improved Source Code
  Understanding
GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
Ziyin Zhang
Hang Yu
Shijie Li
Peng Di
Jianguo Li
Rui Wang
17
2
0
06 Sep 2024
MarsCode Agent: AI-native Automated Bug Fixing
MarsCode Agent: AI-native Automated Bug Fixing
Y. Liu
Pengfei Gao
Xinchen Wang
Jie Liu
Yexuan Shi
Zhao Zhang
Chao Peng
LLMAG
25
21
0
02 Sep 2024
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data
Weizhou Wang
Eric Liu
Xiangyu Guo
Xiao Hu
Ilya Grishchenko
David Lie
18
1
0
28 Aug 2024
Enhancing SQL Query Generation with Neurosymbolic Reasoning
Enhancing SQL Query Generation with Neurosymbolic Reasoning
Henrijs Princis
Cristina David
Alan Mycroft
16
2
0
25 Aug 2024
Understanding Defects in Generated Codes by Language Models
Understanding Defects in Generated Codes by Language Models
Ali Mohammadi Esfahani
N. Kahani
S. Ajila
18
0
0
23 Aug 2024
CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding
  and Execution
CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution
Ruiyang Xu
Jialun Cao
Y. Lu
Hongyu Lin
Xianpei Han
Ben He
S. Cheung
Le Sun
ELM
LRM
32
0
0
23 Aug 2024
Search-Based LLMs for Code Optimization
Search-Based LLMs for Code Optimization
Shuzheng Gao
Cuiyun Gao
Wenchao Gu
Michael Lyu
11
8
0
22 Aug 2024
CodeJudge-Eval: Can Large Language Models be Good Judges in Code
  Understanding?
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
Yuwei Zhao
Ziyang Luo
Yuchen Tian
Hongzhan Lin
Weixiang Yan
Annan Li
Jing Ma
ELM
ALM
LRM
29
8
0
20 Aug 2024
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in
  Code LLMs for Automated Program Repair
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
Meghdad Dehghan
Jie JW Wu
Fatemeh H. Fard
Ali Ouni
MoMe
35
2
0
18 Aug 2024
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
Le Xue
Manli Shu
Anas Awadalla
Jun Wang
An Yan
...
Zeyuan Chen
Silvio Savarese
Juan Carlos Niebles
Caiming Xiong
Ran Xu
VLM
41
91
0
16 Aug 2024
Can Large Language Models Understand Symbolic Graphics Programs?
Can Large Language Models Understand Symbolic Graphics Programs?
Zeju Qiu
Weiyang Liu
Haiwen Feng
Zhen Liu
Tim Z. Xiao
Katherine M. Collins
J. Tenenbaum
Adrian Weller
Michael J. Black
Bernhard Schölkopf
38
4
0
15 Aug 2024
FDI: Attack Neural Code Generation Systems through User Feedback Channel
FDI: Attack Neural Code Generation Systems through User Feedback Channel
Zhensu Sun
Xiaoning Du
Xiapu Luo
Fu Song
David Lo
Li Li
AAML
18
3
0
08 Aug 2024
LLM-Aided Compilation for Tensor Accelerators
LLM-Aided Compilation for Tensor Accelerators
Charles Hong
Sahil Bhatia
Altan Haan
Shengjun Kris Dong
Dima Nikiforov
Alvin Cheung
Y. Shao
21
0
0
06 Aug 2024
LLMs as Probabilistic Minimally Adequate Teachers for DFA Learning
LLMs as Probabilistic Minimally Adequate Teachers for DFA Learning
Lekai Chen
Ashutosh Trivedi
Alvaro Velasquez
16
0
0
06 Aug 2024
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