MBPP
Canonical26papers using it
2024first seen
Mostly Basic Python Problems β ~1,000 entry-level programming tasks with tests, for evaluating code generation.
Papers using MBPP (26)
- Can Language Models Replace Programmers For Coding? REPOCOD Says 'not Yet'Heteroskedastic Signals in Budgeted LLM Verification: Structural Heterogeneity Limits Optimization GainsOpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMsACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference OptimizationFast-dLLM++: Fr\'{e}chet Profile Decoding for Faster Diffusion LLM InferenceSignature filtering: a lightweight enhancement for statistical watermark detection in large language modelsReward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code GenerationEpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMsLocally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language ModelsCan I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language ModelsSePO: Self-Evolving Prompt Agent for System Prompt OptimizationDMax: Aggressive Parallel Decoding for dLLMsGuided Collaboration in Heterogeneous LLM-Based Multi-Agent Systems via Entropy-Based Understanding Assessment and Experience RetrievalTGPR: Tree-Guided Policy Refinement for Robust Self-Debugging of LLMsFrom Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMsEfficient Code LLM Training via Distribution-Consistent and Diversity-Aware Data SelectionEnhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template SearchShape of Thought: When Distribution Matters More than Correctness in Reasoning TasksLearning to Insert [PAUSE] Tokens for Better ReasoningLearning to Generate Unit Tests for Automated DebuggingCodeCriticBench: A Holistic Code Critique Benchmark for Large Language
ModelsLLaDA 1.5: Variance-Reduced Preference Optimization for Large Language
Diffusion ModelsdParallel: Learnable Parallel Decoding for dLLMsAligning CodeLLMs with Direct Preference OptimizationSelf-Explained Keywords Empower Large Language Models for Code
GenerationLearning to Reason via Self-Iterative Process Feedback for Small
Language Models