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Showing 126–150 of 264 papers

TitleStatusHype
CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation—0
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model—0
CodeMirage: Hallucinations in Code Generated by Large Language Models—0
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts—0
Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency—0
CodeShell Technical Report—0
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models—0
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting—0
Context-Augmented Code Generation Using Programming Knowledge Graphs—0
CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks—0
CREST: Effectively Compacting a Datastore For Retrieval-Based Speculative Decoding—0
CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution—0
Dafny as Verification-Aware Intermediate Language for Code Generation—0
Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data—0
Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models—0
Discrete Flow Matching—0
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation—0
Does Few-Shot Learning Help LLM Performance in Code Synthesis?—0
Does your data spark joy? Performance gains from domain upsampling at the end of training—0
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation—0
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference—0
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs—0
Dynamic Scaling of Unit Tests for Code Reward Modeling—0
Structured Chain-of-Thought Prompting for Code Generation—0
Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach—0
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