SOTAVerified

Code Completion

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 212 papers

TitleStatusHype
Scope is all you need: Transforming LLMs for HPC CodeCode1
RepoBench: Benchmarking Repository-Level Code Auto-Completion SystemsCode1
How Effective Are Neural Networks for Fixing Security VulnerabilitiesCode1
MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with TransformersCode1
LLMSecEval: A Dataset of Natural Language Prompts for Security EvaluationsCode1
Learning Deep Semantics for Test CompletionCode1
Execution-based Code Generation using Deep Reinforcement LearningCode1
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file ContextCode1
Multi-lingual Evaluation of Code Generation ModelsCode1
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted ProgrammingCode1
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation LearningCode1
Productivity Assessment of Neural Code CompletionCode1
ReACC: A Retrieval-Augmented Code Completion FrameworkCode1
UniXcoder: Unified Cross-Modal Pre-training for Code RepresentationCode1
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming SequencesCode1
A Syntax-Guided Edit Decoder for Neural Program RepairCode1
Energy-Based Models for Code Generation under Compilability ConstraintsCode1
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and GenerationCode1
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source CodeCode1
Empirical Study of Transformers for Source CodeCode1
LambdaNet: Probabilistic Type Inference using Graph Neural NetworksCode1
Adversarial Robustness for CodeCode1
Beyond Autocomplete: Designing CopilotLens Towards Transparent and Explainable AI Coding Agents—0
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models—0
HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding—0
Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification—0
Structure-Aware Corpus Construction and User-Perception-Aligned Metrics for Large-Language-Model Code Completion—0
Can You Really Trust Code Copilots? Evaluating Large Language Models from a Code Security PerspectiveCode0
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts—0
Procedural Memory Is Not All You Need: Bridging Cognitive Gaps in LLM-Based Agents—0
AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks—0
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation—0
EduBot -- Can LLMs Solve Personalized Learning and Programming Assignments?—0
RTLRepoCoder: Repository-Level RTL Code Completion through the Combination of Fine-Tuning and Retrieval Augmentation—0
CCCI: Code Completion with Contextual Information for Complex Data Transfer Tasks Using Large Language Models—0
ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation GroundingCode0
On Explaining (Large) Language Models For Code Using Global Code-Based Explanations—0
Enhancing High-Quality Code Generation in Large Language Models with Comparative Prefix-TuningCode0
GenAI for Simulation Model in Model-Based Systems Engineering—0
FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation—0
SolBench: A Dataset and Benchmark for Evaluating Functional Correctness in Solidity Code Completion and Repair—0
Alchemist: Towards the Design of Efficient Online Continual Learning System—0
Automated Code Generation and Validation for Software Components of Microcontrollers—0
Comparative Analysis of Large Language Models for Context-Aware Code Completion using SAFIM Framework—0
Mechanistic Understanding of Language Models in Syntactic Code Completion—0
MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task—0
GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code GenerationCode0
Improving FIM Code Completions via Context & Curriculum Based Learning—0
ExecRepoBench: Multi-level Executable Code Completion Evaluation—0
ContextModule: Improving Code Completion via Repository-level Contextual Information—0
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All datasetsSAFIMCodeXGLUE - Github Java CorpusCodeXGLUE - PY150DotPromptsDefects4JRambo Benchmark

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1deepseek-coder-33b-baseAverage69.01—Unverified
2deepseek-coder-6.7b-baseAverage63.4—Unverified
3starcoderbaseAverage55.54—Unverified
4gpt-4-1106-previewAverage53.28—Unverified
5CodeLlama-13b-hfAverage52.78—Unverified
6deepseek-coder-1.3b-baseAverage52.63—Unverified
7CodeLlama-34b-hfAverage49.66—Unverified
8CodeLlama-7b-hfAverage45—Unverified
9gpt-3.5-turbo-0301Average40.86—Unverified
10incoder-6BAverage33.79—Unverified
#ModelMetricClaimedVerifiedStatus
1CodeGPT-adaptedAccuracy (token-level)77.13—Unverified
2CodeT5+ 770MEM (line-level)37.9—Unverified
3CodeT5+ 220MEM (line-level)35.17—Unverified
#ModelMetricClaimedVerifiedStatus
1CodeGPT-adaptedAccuracy (token-level)75.11—Unverified
2CodeT5+ 770MEM (line-level)44.86—Unverified
3CodeT5+ 220MEM (line-level)43.42—Unverified
#ModelMetricClaimedVerifiedStatus
1SantaCoder-MGDCompilation Rate73.03—Unverified
2SantaCoderCompilation Rate59.97—Unverified
3SantaCoderCompilation Rate59.79—Unverified
#ModelMetricClaimedVerifiedStatus
1RamboCompilation Rate76.47—Unverified
2RepoCoderCompilation Rate74.02—Unverified
#ModelMetricClaimedVerifiedStatus
1RamboCompilation Rate61.7—Unverified
2RepoCoderCompilation Rate58.09—Unverified