stereoplegic
's Collections
Creative Robot Tool Use with Large Language Models
Paper
•
2310.13065
•
Published
•
8
CodeCoT and Beyond: Learning to Program and Test like a Developer
Paper
•
2308.08784
•
Published
•
5
Lemur: Harmonizing Natural Language and Code for Language Agents
Paper
•
2310.06830
•
Published
•
31
CodePlan: Repository-level Coding using LLMs and Planning
Paper
•
2309.12499
•
Published
•
73
DSPy: Compiling Declarative Language Model Calls into Self-Improving
Pipelines
Paper
•
2310.03714
•
Published
•
30
Prompt2Model: Generating Deployable Models from Natural Language
Instructions
Paper
•
2308.12261
•
Published
•
1
AskIt: Unified Programming Interface for Programming with Large Language
Models
Paper
•
2308.15645
•
Published
•
2
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical
Reasoning
Paper
•
2310.03731
•
Published
•
29
SCREWS: A Modular Framework for Reasoning with Revisions
Paper
•
2309.13075
•
Published
•
15
MAmmoTH: Building Math Generalist Models through Hybrid Instruction
Tuning
Paper
•
2309.05653
•
Published
•
10
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Paper
•
2309.17452
•
Published
•
3
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with
Code-based Self-Verification
Paper
•
2308.07921
•
Published
•
22
Octopus: Embodied Vision-Language Programmer from Environmental Feedback
Paper
•
2310.08588
•
Published
•
34
CodeChain: Towards Modular Code Generation Through Chain of
Self-revisions with Representative Sub-modules
Paper
•
2310.08992
•
Published
•
10
Ranking LLM-Generated Loop Invariants for Program Verification
Paper
•
2310.09342
•
Published
•
2
UI Layout Generation with LLMs Guided by UI Grammar
Paper
•
2310.15455
•
Published
•
2
LMDX: Language Model-based Document Information Extraction and
Localization
Paper
•
2309.10952
•
Published
•
65
Code Llama: Open Foundation Models for Code
Paper
•
2308.12950
•
Published
•
22
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code
Completion
Paper
•
2310.11248
•
Published
•
3
Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API
Names?
Paper
•
2309.07804
•
Published
•
2
CAT-LM: Training Language Models on Aligned Code And Tests
Paper
•
2310.01602
•
Published
•
1
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Paper
•
2310.06770
•
Published
•
4
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions
about Code
Paper
•
2303.08033
•
Published
•
1
Evaluating Instruction-Tuned Large Language Models on Code Comprehension
and Generation
Paper
•
2308.01240
•
Published
•
2
OctoPack: Instruction Tuning Code Large Language Models
Paper
•
2308.07124
•
Published
•
28
Can Programming Languages Boost Each Other via Instruction Tuning?
Paper
•
2308.16824
•
Published
•
9
StarCoder: may the source be with you!
Paper
•
2305.06161
•
Published
•
30
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation
with Large Language Models
Paper
•
2308.10462
•
Published
•
2
LLaMA-Reviewer: Advancing Code Review Automation with Large Language
Models through Parameter-Efficient Fine-Tuning
Paper
•
2308.11148
•
Published
•
2
ViperGPT: Visual Inference via Python Execution for Reasoning
Paper
•
2303.08128
•
Published
•
2
Visual Programming: Compositional visual reasoning without training
Paper
•
2211.11559
•
Published
•
1
Modular Visual Question Answering via Code Generation
Paper
•
2306.05392
•
Published
•
2
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language
Models
Paper
•
2309.09506
•
Published
•
14
Evaluating and Explaining Large Language Models for Code Using Syntactic
Structures
Paper
•
2308.03873
•
Published
•
1
CodeFusion: A Pre-trained Diffusion Model for Code Generation
Paper
•
2310.17680
•
Published
•
69
CodeRL: Mastering Code Generation through Pretrained Models and Deep
Reinforcement Learning
Paper
•
2207.01780
•
Published
•
1
RLTF: Reinforcement Learning from Unit Test Feedback
Paper
•
2307.04349
•
Published
•
4
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive
Learning for Code Generation
Paper
•
2310.18628
•
Published
•
7
Safurai 001: New Qualitative Approach for Code LLM Evaluation
Paper
•
2309.11385
•
Published
•
2
Large Language Models for Software Engineering: A Systematic Literature
Review
Paper
•
2308.10620
•
Published
•
1
Software Testing with Large Language Model: Survey, Landscape, and
Vision
Paper
•
2307.07221
•
Published
•
1
ComputeGPT: A computational chat model for numerical problems
Paper
•
2305.06223
•
Published
•
1
Natural Language Embedded Programs for Hybrid Language Symbolic
Reasoning
Paper
•
2309.10814
•
Published
•
3
Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large
Language Models
Paper
•
2305.18507
•
Published
•
1
Program of Thoughts Prompting: Disentangling Computation from Reasoning
for Numerical Reasoning Tasks
Paper
•
2211.12588
•
Published
•
3
Structured Chain-of-Thought Prompting for Code Generation
Paper
•
2305.06599
•
Published
•
1
Improving ChatGPT Prompt for Code Generation
Paper
•
2305.08360
•
Published
•
1
Pair Programming with Large Language Models for Sampling and Estimation
of Copulas
Paper
•
2303.18116
•
Published
•
1
EcoAssistant: Using LLM Assistant More Affordably and Accurately
Paper
•
2310.03046
•
Published
•
5
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized
Toolsets
Paper
•
2309.17428
•
Published
•
1
Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for
Code Generation
Paper
•
2310.10698
•
Published
•
1
Test-Case-Driven Programming Understanding in Large Language Models for
Better Code Generation
Paper
•
2309.16120
•
Published
•
1
The Program Testing Ability of Large Language Models for Code
Paper
•
2310.05727
•
Published
•
1
ClarifyGPT: Empowering LLM-based Code Generation with Intention
Clarification
Paper
•
2310.10996
•
Published
•
2
DocPrompting: Generating Code by Retrieving the Docs
Paper
•
2207.05987
•
Published
•
1
Demystifying GPT Self-Repair for Code Generation
Paper
•
2306.09896
•
Published
•
19
Towards an Understanding of Large Language Models in Software
Engineering Tasks
Paper
•
2308.11396
•
Published
•
1
Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning
Paper
•
2305.18170
•
Published
•
2
Impact of Large Language Models on Generating Software Specifications
Paper
•
2306.03324
•
Published
•
2
Transformer-based Vulnerability Detection in Code at EditTime:
Zero-shot, Few-shot, or Fine-tuning?
Paper
•
2306.01754
•
Published
•
1
Fault-Aware Neural Code Rankers
Paper
•
2206.03865
•
Published
•
1
An Empirical Evaluation of Using Large Language Models for Automated
Unit Test Generation
Paper
•
2302.06527
•
Published
•
1
Effective Test Generation Using Pre-trained Large Language Models and
Mutation Testing
Paper
•
2308.16557
•
Published
•
1
A Static Evaluation of Code Completion by Large Language Models
Paper
•
2306.03203
•
Published
•
3
CodeIE: Large Code Generation Models are Better Few-Shot Information
Extractors
Paper
•
2305.05711
•
Published
•
1
Few-shot training LLMs for project-specific code-summarization
Paper
•
2207.04237
•
Published
•
1
Improving Few-Shot Prompts with Relevant Static Analysis Products
Paper
•
2304.06815
•
Published
•
1
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment
Generation via In-Context Learning
Paper
•
2304.11384
•
Published
•
1
Repository-Level Prompt Generation for Large Language Models of Code
Paper
•
2206.12839
•
Published
•
2
A Systematic Evaluation of Large Language Models of Code
Paper
•
2202.13169
•
Published
•
1
Private-Library-Oriented Code Generation with Large Language Models
Paper
•
2307.15370
•
Published
•
1
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
Paper
•
2306.00029
•
Published
•
2
Bias Assessment and Mitigation in LLM-based Code Generation
Paper
•
2309.14345
•
Published
•
1
A Simple, Yet Effective Approach to Finding Biases in Code Generation
Paper
•
2211.00609
•
Published
•
1
Execution-Based Evaluation for Open-Domain Code Generation
Paper
•
2212.10481
•
Published
•
1
CodeGen: An Open Large Language Model for Code with Multi-Turn Program
Synthesis
Paper
•
2203.13474
•
Published
•
1
Improving Code Generation by Training with Natural Language Feedback
Paper
•
2303.16749
•
Published
•
1
Large Language Models of Code Fail at Completing Code with Potential
Bugs
Paper
•
2306.03438
•
Published
•
2
How Effective Are Neural Networks for Fixing Security Vulnerabilities
Paper
•
2305.18607
•
Published
•
2
Copiloting the Copilots: Fusing Large Language Models with Completion
Engines for Automated Program Repair
Paper
•
2309.00608
•
Published
•
2
Towards Generating Functionally Correct Code Edits from Natural Language
Issue Descriptions
Paper
•
2304.03816
•
Published
•
1
Enhancing Automated Program Repair through Fine-tuning and Prompt
Engineering
Paper
•
2304.07840
•
Published
•
1
Generating High-Precision Feedback for Programming Syntax Errors using
Large Language Models
Paper
•
2302.04662
•
Published
•
1
Frustrated with Code Quality Issues? LLMs can Help!
Paper
•
2309.12938
•
Published
•
1
FLAG: Finding Line Anomalies (in code) with Generative AI
Paper
•
2306.12643
•
Published
•
1
The potential of LLMs for coding with low-resource and domain-specific
programming languages
Paper
•
2307.13018
•
Published
•
1
Knowledge Transfer from High-Resource to Low-Resource Programming
Languages for Code LLMs
Paper
•
2308.09895
•
Published
•
1
Large Language Models Meet NL2Code: A Survey
Paper
•
2212.09420
•
Published
•
1
ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on
Class-level Code Generation
Paper
•
2308.01861
•
Published
•
1
ToolCoder: Teach Code Generation Models to use API search tools
Paper
•
2305.04032
•
Published
•
1
Out of the BLEU: how should we assess quality of the Code Generation
models?
Paper
•
2208.03133
•
Published
•
2
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Paper
•
2311.02303
•
Published
•
4
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Paper
•
2306.08568
•
Published
•
28
ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation
Paper
•
2311.00272
•
Published
•
9
CodeApex: A Bilingual Programming Evaluation Benchmark for Large
Language Models
Paper
•
2309.01940
•
Published
•
1
Exploring Large Language Models for Code Explanation
Paper
•
2310.16673
•
Published
•
1
Prompt Engineering or Fine Tuning: An Empirical Assessment of Large
Language Models in Automated Software Engineering Tasks
Paper
•
2310.10508
•
Published
•
1
A Critical Review of Large Language Model on Software Engineering: An
Example from ChatGPT and Automated Program Repair
Paper
•
2310.08879
•
Published
•
1
Large Language Model-Aware In-Context Learning for Code Generation
Paper
•
2310.09748
•
Published
•
1
B-Coder: Value-Based Deep Reinforcement Learning for Program
Synthesis
Paper
•
2310.03173
•
Published
•
1
SteloCoder: a Decoder-Only LLM for Multi-Language to Python Code
Translation
Paper
•
2310.15539
•
Published
•
1
T5APR: Empowering Automated Program Repair across Languages through
Checkpoint Ensemble
Paper
•
2309.15742
•
Published
•
1
InstructCoder: Empowering Language Models for Code Editing
Paper
•
2310.20329
•
Published
•
2
The Vault: A Comprehensive Multilingual Dataset for Advancing Code
Understanding and Generation
Paper
•
2305.06156
•
Published
•
2
Constructing Multilingual Code Search Dataset Using Neural Machine
Translation
Paper
•
2306.15604
•
Published
•
1
Neural Machine Translation for Code Generation
Paper
•
2305.13504
•
Published
•
1
On Learning Meaningful Code Changes via Neural Machine Translation
Paper
•
1901.09102
•
Published
•
1
Dynamically Relative Position Encoding-Based Transformer for Automatic
Code Edit
Paper
•
2205.13522
•
Published
•
1
Code Translation with Compiler Representations
Paper
•
2207.03578
•
Published
•
1
CoCoSoDa: Effective Contrastive Learning for Code Search
Paper
•
2204.03293
•
Published
•
1
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning
Paper
•
2301.09072
•
Published
•
1
Model-Agnostic Syntactical Information for Pre-Trained Programming
Language Models
Paper
•
2303.06233
•
Published
•
1
One Adapter for All Programming Languages? Adapter Tuning for Code
Search and Summarization
Paper
•
2303.15822
•
Published
•
1
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming
Language Models
Paper
•
2206.00052
•
Published
•
1
Explainable AI for Pre-Trained Code Models: What Do They Learn? When
They Do Not Work?
Paper
•
2211.12821
•
Published
•
1
Benchmarking Language Models for Code Syntax Understanding
Paper
•
2210.14473
•
Published
•
1
Are Code Pre-trained Models Powerful to Learn Code Syntax and Semantics?
Paper
•
2212.10017
•
Published
•
1
Diet Code Is Healthy: Simplifying Programs for Pre-trained Models of
Code
Paper
•
2206.14390
•
Published
•
1
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder
Models for More Efficient Code Classification
Paper
•
2305.04940
•
Published
•
1
TRACED: Execution-aware Pre-training for Source Code
Paper
•
2306.07487
•
Published
•
1
Method-Level Bug Severity Prediction using Source Code Metrics and LLMs
Paper
•
2309.03044
•
Published
•
1
WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised
Learning
Paper
•
2305.17384
•
Published
•
1
BigIssue: A Realistic Bug Localization Benchmark
Paper
•
2207.10739
•
Published
•
1
RLocator: Reinforcement Learning for Bug Localization
Paper
•
2305.05586
•
Published
•
1
A Survey of Learning-based Automated Program Repair
Paper
•
2301.03270
•
Published
•
1
GAMMA: Revisiting Template-based Automated Program Repair via Mask
Prediction
Paper
•
2309.09308
•
Published
•
1
Too Few Bug Reports? Exploring Data Augmentation for Improved
Changeset-based Bug Localization
Paper
•
2305.16430
•
Published
•
1
Split, Encode and Aggregate for Long Code Search
Paper
•
2208.11271
•
Published
•
1
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection
and Code Search
Paper
•
2305.11626
•
Published
•
1
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval
Model for Searching by Code Snippets
Paper
•
2305.11625
•
Published
•
1
ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for
Programming Languages
Paper
•
2212.06742
•
Published
•
2
Towards Understanding the Capability of Large Language Models on Code
Clone Detection: A Survey
Paper
•
2308.01191
•
Published
•
1
Communicative Agents for Software Development
Paper
•
2307.07924
•
Published
•
3
Assessing the Use of AutoML for Data-Driven Software Engineering
Paper
•
2307.10774
•
Published
•
1
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models
for Programming Language Attend Code Structure
Paper
•
2210.04633
•
Published
•
1
Towards Efficient Fine-tuning of Pre-trained Code Models: An
Experimental Study and Beyond
Paper
•
2304.05216
•
Published
•
1
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
Paper
•
2310.02304
•
Published
•
1
Is AI the better programming partner? Human-Human Pair Programming vs.
Human-AI pAIr Programming
Paper
•
2306.05153
•
Published
•
1
"Teach AI How to Code": Using Large Language Models as Teachable Agents
for Programming Education
Paper
•
2309.14534
•
Published
•
2
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted
Programming
Paper
•
2306.04930
•
Published
•
3
A Large-Scale Survey on the Usability of AI Programming Assistants:
Successes and Challenges
Paper
•
2303.17125
•
Published
•
1
LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot
Compression
Paper
•
2309.14021
•
Published
•
1
Prompting with Pseudo-Code Instructions
Paper
•
2305.11790
•
Published
•
2
Magicoder: Source Code Is All You Need
Paper
•
2312.02120
•
Published
•
79
Evolution through Large Models
Paper
•
2206.08896
•
Published
•
1
LLM360: Towards Fully Transparent Open-Source LLMs
Paper
•
2312.06550
•
Published
•
57
Understanding HTML with Large Language Models
Paper
•
2210.03945
•
Published
•
1
Leveraging Large Language Models for Scalable Vector Graphics-Driven
Image Understanding
Paper
•
2306.06094
•
Published
•
1
WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with
Refined Data Generation
Paper
•
2312.14187
•
Published
•
49
Neural Rankers for Code Generation via Inter-Cluster Modeling
Paper
•
2311.03366
•
Published
•
1
LLM-Assisted Code Cleaning For Training Accurate Code Generators
Paper
•
2311.14904
•
Published
•
4
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Paper
•
2312.04474
•
Published
•
29
A Survey on Language Models for Code
Paper
•
2311.07989
•
Published
•
21
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Paper
•
2401.03065
•
Published
•
11
Is Model Attention Aligned with Human Attention? An Empirical Study on
Large Language Models for Code Generation
Paper
•
2306.01220
•
Published
•
1
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
Paper
•
2310.06266
•
Published
•
1
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code
Empowers Large Language Models to Serve as Intelligent Agents
Paper
•
2401.00812
•
Published
•
2
Code as Policies: Language Model Programs for Embodied Control
Paper
•
2209.07753
•
Published
•
1
Large Language Models for Compiler Optimization
Paper
•
2309.07062
•
Published
•
23
Program Merge Conflict Resolution via Neural Transformers
Paper
•
2109.00084
•
Published
•
1
Viewer
•
Updated
•
2.75M
•
10.5k
•
330
AceCoder: Utilizing Existing Code to Enhance Code Generation
Paper
•
2303.17780
•
Published
•
1
SkCoder: A Sketch-based Approach for Automatic Code Generation
Paper
•
2302.06144
•
Published
•
1
What Makes Good In-context Demonstrations for Code Intelligence Tasks
with LLMs?
Paper
•
2304.07575
•
Published
•
1
The Good, the Bad, and the Missing: Neural Code Generation for Machine
Learning Tasks
Paper
•
2305.09082
•
Published
•
1
RestGPT: Connecting Large Language Models with Real-World RESTful APIs
Paper
•
2306.06624
•
Published
•
1
Leveraging Large Language Models to Improve REST API Testing
Paper
•
2312.00894
•
Published
•
2
Type-Directed Program Synthesis for RESTful APIs
Paper
•
2203.16697
•
Published
•
1
Code Generation with AlphaCodium: From Prompt Engineering to Flow
Engineering
Paper
•
2401.08500
•
Published
•
5
On the Usage of Continual Learning for Out-of-Distribution
Generalization in Pre-trained Language Models of Code
Paper
•
2305.04106
•
Published
•
1
LEVER: Learning to Verify Language-to-Code Generation with Execution
Paper
•
2302.08468
•
Published
•
1
StepCoder: Improve Code Generation with Reinforcement Learning from
Compiler Feedback
Paper
•
2402.01391
•
Published
•
41
Improving Natural Language Capability of Code Large Language Model
Paper
•
2401.14242
•
Published
•
1
Astraios: Parameter-Efficient Instruction Tuning Code Large Language
Models
Paper
•
2401.00788
•
Published
•
21
Leveraging Large Language Models for Automated Proof Synthesis in Rust
Paper
•
2311.03739
•
Published
•
5
Guiding Language Models of Code with Global Context using Monitors
Paper
•
2306.10763
•
Published
•
7
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Paper
•
2402.04858
•
Published
•
14
MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible
Pipeline
Paper
•
2401.08190
•
Published
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming
Paper
•
2402.14261
•
Published
•
10
StarCoder 2 and The Stack v2: The Next Generation
Paper
•
2402.19173
•
Published
•
136
PYInfer: Deep Learning Semantic Type Inference for Python Variables
Paper
•
2106.14316
•
Published
Language Models as Compilers: Simulating Pseudocode Execution Improves
Algorithmic Reasoning in Language Models
Paper
•
2404.02575
•
Published
•
47
Advancing LLM Reasoning Generalists with Preference Trees
Paper
•
2404.02078
•
Published
•
44
NExT: Teaching Large Language Models to Reason about Code Execution
Paper
•
2404.14662
•
Published
•
4
MuMath-Code: Combining Tool-Use Large Language Models with
Multi-perspective Data Augmentation for Mathematical Reasoning
Paper
•
2405.07551
•
Published
PECC: Problem Extraction and Coding Challenges
Paper
•
2404.18766
•
Published
Comments as Natural Logic Pivots: Improve Code Generation via Comment
Perspective
Paper
•
2404.07549
•
Published
DolphCoder: Echo-Locating Code Large Language Models with Diverse and
Multi-Objective Instruction Tuning
Paper
•
2402.09136
•
Published
•
1
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Paper
•
2402.10176
•
Published
•
35
Grounding Data Science Code Generation with Input-Output Specifications
Paper
•
2402.08073
•
Published
SemCoder: Training Code Language Models with Comprehensive Semantics
Paper
•
2406.01006
•
Published
AgileCoder: Dynamic Collaborative Agents for Software Development based
on Agile Methodology
Paper
•
2406.11912
•
Published
•
26
From Code to Correctness: Closing the Last Mile of Code Generation with
Hierarchical Debugging
Paper
•
2410.01215
•
Published
•
30