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Evaluating Large Language Models Trained on Code

Evaluating Large Language Models Trained on Code

7 July 2021
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
Jared Kaplan
Harrison Edwards
Yura Burda
Nicholas Joseph
Greg Brockman
Alex Ray
Raul Puri
Gretchen Krueger
Michael Petrov
Heidy Khlaaf
Girish Sastry
Pamela Mishkin
Brooke Chan
Scott Gray
Nick Ryder
Mikhail Pavlov
Alethea Power
Lukasz Kaiser
Mohammad Bavarian
Clemens Winter
Philippe Tillet
F. Such
D. Cummings
Matthias Plappert
Fotios Chantzis
Elizabeth Barnes
Ariel Herbert-Voss
William H. Guss
Alex Nichol
Alex Paino
Nikolas Tezak
Jie Tang
Igor Babuschkin
S. Balaji
Shantanu Jain
William Saunders
Christopher Hesse
A. Carr
Jan Leike
Joshua Achiam
Vedant Misra
Evan Morikawa
Alec Radford
Matthew Knight
Miles Brundage
Mira Murati
Katie Mayer
Peter Welinder
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
    ELM
    ALM
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Papers citing "Evaluating Large Language Models Trained on Code"

50 / 889 papers shown
Title
ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
Shubham Gandhi
Dhruv Shah
Manasi S. Patwardhan
L. Vig
Gautam M. Shroff
LLMAG
AI4CE
137
0
0
28 Apr 2025
CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
LingXiang Wang
Hainan Zhang
Qinnan Zhang
Ziwei Wang
Hongwei Zheng
Jin Dong
Zhiming Zheng
53
0
0
28 Apr 2025
CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges
CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges
Y. Li
Qizhi Pei
Mengyuan Sun
Honglin Lin
Chenlin Ming
Xin Gao
Jiang Wu
C. He
Lijun Wu
ELM
LRM
40
0
0
27 Apr 2025
VeriDebug: A Unified LLM for Verilog Debugging via Contrastive Embedding and Guided Correction
VeriDebug: A Unified LLM for Verilog Debugging via Contrastive Embedding and Guided Correction
N. Wang
Bingkun Yao
Jie Zhou
Yuchen Hu
Xi Wang
Nan Guan
Zhe Jiang
36
0
0
27 Apr 2025
APE-Bench I: Towards File-level Automated Proof Engineering of Formal Math Libraries
APE-Bench I: Towards File-level Automated Proof Engineering of Formal Math Libraries
Huajian Xin
Luming Li
Xiaoran Jin
Jacques Fleuriot
Wenda Li
AIMat
52
0
0
27 Apr 2025
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks
Yixin Cao
Shibo Hong
X. Li
Jiahao Ying
Yubo Ma
...
Juanzi Li
Aixin Sun
Xuanjing Huang
Tat-Seng Chua
Yu Jiang
ALM
ELM
84
1
0
26 Apr 2025
Graph of Attacks: Improved Black-Box and Interpretable Jailbreaks for LLMs
Graph of Attacks: Improved Black-Box and Interpretable Jailbreaks for LLMs
Mohammad Akbar-Tajari
Mohammad Taher Pilehvar
Mohammad Mahmoody
AAML
46
0
0
26 Apr 2025
AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depression
AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depression
Dong Whi Yoo
Jiayue Melissa Shi
Violeta J. Rodriguez
Koustuv Saha
AI4MH
54
0
0
26 Apr 2025
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation
Rob Romijnders
Stefanos Laskaridis
Ali Shahin Shamsabadi
Hamed Haddadi
62
0
0
25 Apr 2025
Self-Healing Software Systems: Lessons from Nature, Powered by AI
Self-Healing Software Systems: Lessons from Nature, Powered by AI
Mohammad Baqar
Rajat Khanda
Saba Naqvi
17
0
0
25 Apr 2025
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Minju Seo
Jinheon Baek
Seongyun Lee
S. Hwang
AI4CE
39
0
0
24 Apr 2025
Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
ParamΔΔΔ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
Sheng Cao
Mingrui Wu
Karthik Prasad
Yuandong Tian
Zechun Liu
MoMe
80
0
0
23 Apr 2025
Circinus: Efficient Query Planner for Compound ML Serving
Circinus: Efficient Query Planner for Compound ML Serving
Banruo Liu
Wei-Yu Lin
Minghao Fang
Yihan Jiang
Fan Lai
LRM
34
0
0
23 Apr 2025
EduBot -- Can LLMs Solve Personalized Learning and Programming Assignments?
EduBot -- Can LLMs Solve Personalized Learning and Programming Assignments?
Yibin Wang
Jiaxi Xie
Lakshminarayanan Subramanian
AI4Ed
63
0
0
23 Apr 2025
PARD: Accelerating LLM Inference with Low-Cost PARallel Draft Model Adaptation
PARD: Accelerating LLM Inference with Low-Cost PARallel Draft Model Adaptation
Zihao An
Huajun Bai
Z. Liu
Dong Li
E. Barsoum
56
0
0
23 Apr 2025
Evaluating Code Generation of LLMs in Advanced Computer Science Problems
Evaluating Code Generation of LLMs in Advanced Computer Science Problems
Emir Catir
Robin Claesson
Rodothea Myrsini Tsoupidi
30
0
0
21 Apr 2025
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
Yilun Zhou
Austin Xu
Peifeng Wang
Caiming Xiong
Shafiq R. Joty
ELM
ALM
LRM
50
2
0
21 Apr 2025
Integrating Symbolic Execution into the Fine-Tuning of Code-Generating LLMs
Integrating Symbolic Execution into the Fine-Tuning of Code-Generating LLMs
Marina Sakharova
Abhinav Anand
Mira Mezini
59
0
0
21 Apr 2025
RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model Agents
RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model Agents
Sid Black
Asa Cooper Stickland
Jake Pencharz
Oliver Sourbut
Michael Schmatz
Jay Bailey
Ollie Matthews
Ben Millwood
Alex Remedios
Alan Cooney
ELM
134
0
0
21 Apr 2025
Trillion 7B Technical Report
Trillion 7B Technical Report
Sungjun Han
Juyoung Suk
Suyeong An
Hyungguk Kim
Kyuseok Kim
Wonsuk Yang
Seungtaek Choi
Jamin Shin
110
0
0
21 Apr 2025
Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence
Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence
Haiyan Qin
Jiahao Feng
Xiaotong Feng
Wei W. Xing
Wang Kang
29
0
0
20 Apr 2025
ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning Model
ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning Model
Haiyan Qin
Zhiwei Xie
Jingjing Li
Liangchen Li
Xiaotong Feng
J. Liu
Wang Kang
OffRL
LRM
129
0
0
20 Apr 2025
CODECRASH: Stress Testing LLM Reasoning under Structural and Semantic Perturbations
CODECRASH: Stress Testing LLM Reasoning under Structural and Semantic Perturbations
Man Ho Adrian Lam
Chaozheng Wang
Jen-tse Huang
M. Lyu
LRM
34
0
0
19 Apr 2025
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Yang Yue
Zhiqi Chen
Rui Lu
Andrew Zhao
Zhaokai Wang
Yang Yue
Shiji Song
Gao Huang
ReLM
LRM
51
11
0
18 Apr 2025
D$^{2}$MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving
D2^{2}2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving
Haodong Wang
Qihua Zhou
Zicong Hong
Song Guo
MoE
56
0
0
17 Apr 2025
Teaching Large Language Models to Reason through Learning and Forgetting
Teaching Large Language Models to Reason through Learning and Forgetting
Tianwei Ni
Allen Nie
Sapana Chaudhary
Yao Liu
Huzefa Rangwala
Rasool Fakoor
ReLM
CLL
LRM
130
0
0
15 Apr 2025
Reimagining Urban Science: Scaling Causal Inference with Large Language Models
Reimagining Urban Science: Scaling Causal Inference with Large Language Models
Yutong Xia
Ao Qu
Yunhan Zheng
Yihong Tang
Dingyi Zhuang
...
Cathy Wu
R. Zimmermann
Lijun Sun
Roger Zimmermann
Jinhua Zhao
AI4CE
62
0
0
15 Apr 2025
Efficient Reasoning Models: A Survey
Efficient Reasoning Models: A Survey
Sicheng Feng
Gongfan Fang
Xinyin Ma
Xinchao Wang
ReLM
LRM
145
0
0
15 Apr 2025
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Jinguo Zhu
Weiyun Wang
Zhe Chen
Z. Liu
Shenglong Ye
...
D. Lin
Yu Qiao
Jifeng Dai
Wenhai Wang
W. Wang
MLLM
VLM
68
7
1
14 Apr 2025
Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems
Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems
Zaid Khan
Elias Stengel-Eskin
Archiki Prasad
Jaemin Cho
Mohit Bansal
29
0
0
14 Apr 2025
To See or Not to See -- Fingerprinting Devices in Adversarial Environments Amid Advanced Machine Learning
To See or Not to See -- Fingerprinting Devices in Adversarial Environments Amid Advanced Machine Learning
Justin Feng
Nader Sehatbakhsh
41
0
0
11 Apr 2025
DeepGreen: Effective LLM-Driven Green-washing Monitoring System Designed for Empirical Testing -- Evidence from China
DeepGreen: Effective LLM-Driven Green-washing Monitoring System Designed for Empirical Testing -- Evidence from China
Congluo Xu
Yu Miao
Yiling Xiao
Chengmengjia Lin
24
0
0
10 Apr 2025
Model Utility Law: Evaluating LLMs beyond Performance through Mechanism Interpretable Metric
Model Utility Law: Evaluating LLMs beyond Performance through Mechanism Interpretable Metric
Yixin Cao
Jiahao Ying
Y. Wang
Xipeng Qiu
Xuanjing Huang
Yugang Jiang
ELM
36
2
0
10 Apr 2025
From Token to Line: Enhancing Code Generation with a Long-Term Perspective
From Token to Line: Enhancing Code Generation with a Long-Term Perspective
Tingwei Lu
Yangning Li
Liyuan Wang
Binghuai Lin
Jiwei Tang
...
Hai-tao Zheng
Yinghui Li
Bingxu An
Zhao Wei
Y. Xu
LLMAG
59
0
0
10 Apr 2025
MDIT: A Model-free Data Interpolation Method for Diverse Instruction Tuning
MDIT: A Model-free Data Interpolation Method for Diverse Instruction Tuning
Yangning Li
Zihua Lan
Lv Qingsong
Yinghui Li
Hai-Tao Zheng
31
0
0
09 Apr 2025
How Accurately Do Large Language Models Understand Code?
How Accurately Do Large Language Models Understand Code?
Sabaat Haroon
Ahmad Faraz Khan
Ahmad Humayun
Waris Gill
Abdul Haddi Amjad
A. R. Butt
Mohammad Taha Khan
Muhammad Ali Gulzar
ELM
LRM
30
1
0
06 Apr 2025
Cognitive Debiasing Large Language Models for Decision-Making
Cognitive Debiasing Large Language Models for Decision-Making
Yougang Lyu
Shijie Ren
Yue Feng
Zihan Wang
Z. Chen
Z. Z. Ren
Maarten de Rijke
36
0
0
05 Apr 2025
From Code Generation to Software Testing: AI Copilot with Context-Based RAG
From Code Generation to Software Testing: AI Copilot with Context-Based RAG
Yuchen Wang
Shangxin Guo
C. Tan
33
2
0
02 Apr 2025
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?
Kai Yan
Yufei Xu
Zhengyin Du
Xuesong Yao
Z. Wang
Xiaowen Guo
Jiecao Chen
ReLM
ELM
LRM
95
3
0
01 Apr 2025
Adaptive Layer-skipping in Pre-trained LLMs
Adaptive Layer-skipping in Pre-trained LLMs
Xuan Luo
Weizhi Wang
Xifeng Yan
140
0
0
31 Mar 2025
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
J. Lin
Tian Wang
Kun Qian
LRM
42
2
0
31 Mar 2025
RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation
RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation
Feng Lin
Dong Jae Kim
Z. Li
Jinqiu Yang
Tse-Husn
Chen
AAML
38
0
0
28 Mar 2025
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
39
0
0
27 Mar 2025
Prompt, Divide, and Conquer: Bypassing Large Language Model Safety Filters via Segmented and Distributed Prompt Processing
Prompt, Divide, and Conquer: Bypassing Large Language Model Safety Filters via Segmented and Distributed Prompt Processing
Johan Wahréus
Ahmed Mohamed Hussain
P. Papadimitratos
53
0
0
27 Mar 2025
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Yang Sui
Yu-Neng Chuang
Guanchu Wang
Jiamu Zhang
Tianyi Zhang
...
Hongyi Liu
Andrew Wen
Shaochen
Zhong
Hanjie Chen
OffRL
ReLM
LRM
74
26
0
20 Mar 2025
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models
M. Wong
C. Tan
ALM
83
4
0
19 Mar 2025
Enhancing Code LLM Training with Programmer Attention
Enhancing Code LLM Training with Programmer Attention
Y. Zhang
Chen Huang
Z. Karas
Dung T. Nguyen
Kevin Leach
Yu Huang
75
0
0
19 Mar 2025
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
Nvidia
A. Azzolini
Hannah Brandon
Prithvijit Chattopadhyay
Huayu Chen
...
Yao Xu
X. Yang
Zhuolin Yang
Xiaohui Zeng
Z. Zhang
LM&Ro
LRM
AI4CE
54
5
0
18 Mar 2025
Measuring AI Ability to Complete Long Tasks
Measuring AI Ability to Complete Long Tasks
Thomas Kwa
Ben West
Joel Becker
Amy Deng
Katharyn Garcia
...
Lucas Jun Koba Sato
H. Wijk
Daniel M. Ziegler
Elizabeth Barnes
Lawrence Chan
ELM
77
6
0
18 Mar 2025
VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding
VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding
Zeng Wang
Minghao Shao
M. Nabeel
P. Roy
Likhitha Mankali
Jitendra Bhandari
Ramesh Karri
Ozgur Sinanoglu
Muhammad Shafique
J. Knechtel
70
0
0
17 Mar 2025
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