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HumanEval

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Showing 51–100 of 264 papers

TitleStatusHype
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and DebuggingCode2
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment—0
Large Language Model Guided Self-Debugging Code Generation—0
Learning to Generate Unit Tests for Automated DebuggingCode1
ACECODER: Acing Coder RL via Automated Test-Case Synthesis—0
Importing Phantoms: Measuring LLM Package Hallucination Vulnerabilities—0
How to Select Datapoints for Efficient Human Evaluation of NLG Models?Code1
CoCoNUT: Structural Code Understanding does not fall out of a treeCode0
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks—0
MyGO Multiplex CoT: A Method for Self-Reflection in Large Language Models via Double Chain of Thought ThinkingCode1
Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs—0
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks—0
Dafny as Verification-Aware Intermediate Language for Code Generation—0
InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion—0
Dynamic Scaling of Unit Tests for Code Reward Modeling—0
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement—0
HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code GenerationCode1
SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity—0
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference—0
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models—0
PERC: Plan-As-Query Example Retrieval for Underrepresented Code Generation—0
Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree—0
Learning to Reason via Self-Iterative Process Feedback for Small Language Models—0
AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement—0
Does Few-Shot Learning Help LLM Performance in Code Synthesis?—0
Addressing Data Leakage in HumanEval Using Combinatorial Test Design—0
Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect VerifiersCode0
A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks—0
Planning-Driven Programming: A Large Language Model Programming WorkflowCode1
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs—0
PerfCodeGen: Improving Performance of LLM Generated Code with Execution FeedbackCode1
VALTEST: Automated Validation of Language Model Generated Test Cases—0
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models—0
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models—0
InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code TranslationCode0
SelfCodeAlign: Self-Alignment for Code GenerationCode3
Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models—0
Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'Code1
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization systemCode0
Aligning CodeLLMs with Direct Preference Optimization—0
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment—0
MojoBench: Language Modeling and Benchmarks for Mojo—0
Scattered Forest Search: Smarter Code Space Exploration with LLMs—0
Self-Evolving Multi-Agent Collaboration Networks for Software Development—0
Semantic-guided Search for Efficient Program Repair with Large Language Models—0
Self-Explained Keywords Empower Large Language Models for Code Generation—0
mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code GenerationCode0
CELI: Controller-Embedded Language Model Interactions—0
HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding TasksCode1
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks—0
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