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HumanEval

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Showing 151–200 of 264 papers

TitleStatusHype
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement—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
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs—0
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
Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models—0
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
Self-Evolving Multi-Agent Collaboration Networks for Software Development—0
Scattered Forest Search: Smarter Code Space Exploration with LLMs—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
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks—0
One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning TasksCode0
KV Prediction for Improved Time to First Token—0
Context-Augmented Code Generation Using Programming Knowledge Graphs—0
AIME: AI System Optimization via Multiple LLM Evaluators—0
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation GuidanceCode0
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code GenerationCode0
Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity—0
GRIN: GRadient-INformed MoE—0
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation—0
Measuring the Influence of Incorrect Code on Test GenerationCode0
CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks—0
USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding—0
Multi-Programming Language Ensemble for Code Generation in Large Language ModelCode0
Arctic-SnowCoder: Demystifying High-Quality Data in Code Pretraining—0
CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution—0
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation—0
AutoTest: Evolutionary Code Solution Selection with Test Cases—0
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs—0
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting—0
CodeMirage: Hallucinations in Code Generated by Large Language Models—0
CREST: Effectively Compacting a Datastore For Retrieval-Based Speculative Decoding—0
TaskEval: Assessing Difficulty of Code Generation Tasks for Large Language Models—0
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