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HumanEval

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Showing 101–150 of 264 papers

TitleStatusHype
Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM WatermarkingCode1
ContraCLM: Contrastive Learning For Causal Language ModelCode1
Can Programming Languages Boost Each Other via Instruction Tuning?Code0
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code GenerationCode0
Instruction Fusion: Advancing Prompt Evolution through HybridizationCode0
HumanEval on Latest GPT Models -- 2024Code0
Measuring the Influence of Incorrect Code on Test GenerationCode0
Large Language Models of Code Fail at Completing Code with Potential BugsCode0
Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained SettingsCode0
Can Github issues be solved with Tree Of Thoughts?Code0
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation GuidanceCode0
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language ModelsCode0
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization systemCode0
Using Large Language Models to Generate JUnit Tests: An Empirical StudyCode0
Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case StudyCode0
Evaluating How Fine-tuning on Bimodal Data Effects Code GenerationCode0
A Novel Approach for Automatic Program Repair using Round-Trip Translation with Large Language ModelsCode0
Enhancing Large Language Models in Coding Through Multi-Perspective Self-ConsistencyCode0
Self-Correcting Code Generation Using Small Language ModelsCode0
Self-Edit: Fault-Aware Code Editor for Code GenerationCode0
CoCoNUT: Structural Code Understanding does not fall out of a treeCode0
ThrowBench: Benchmarking LLMs by Predicting Runtime ExceptionsCode0
Multi-Programming Language Ensemble for Code Generation in Large Language ModelCode0
Comments as Natural Logic Pivots: Improve Code Generation via Comment PerspectiveCode0
CodeT5+: Open Code Large Language Models for Code Understanding and GenerationCode0
InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code TranslationCode0
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank AdaptationCode0
mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code GenerationCode0
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code GenerationCode0
Enhancing Code Generation via Bidirectional Comment-Level Mutual GroundingCode0
AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System NeedCode0
One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning TasksCode0
Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect VerifiersCode0
JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language ModelsCode0
CopySpec: Accelerating LLMs with Speculative Copy-and-Paste Without Compromising QualityCode0
Software Vulnerability and Functionality Assessment using LLMs—0
ACECODER: Acing Coder RL via Automated Test-Case Synthesis—0
Actor-Critic based Online Data Mixing For Language Model Pre-Training—0
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment—0
Addressing Data Leakage in HumanEval Using Combinatorial Test Design—0
AIME: AI System Optimization via Multiple LLM Evaluators—0
Aligning CodeLLMs with Direct Preference Optimization—0
AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement—0
An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks—0
A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks—0
ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative Refinement—0
Arctic-SnowCoder: Demystifying High-Quality Data in Code Pretraining—0
A Review of Repository Level Prompting for LLMs—0
CodingTeachLLM: Empowering LLM's Coding Ability via AST Prior Knowledge—0
AttentionInfluence: Adopting Attention Head Influence for Weak-to-Strong Pretraining Data Selection—0
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