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Showing 101–129 of 129 papers

TitleStatusHype
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models—0
Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data—0
Scattered Forest Search: Smarter Code Space Exploration with LLMs—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
Scoring Verifiers: Evaluating Synthetic Verification for Code and Reasoning—0
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs—0
DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation—0
Structured Chain-of-Thought Prompting for Code Generation—0
Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach—0
Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search—0
Software Vulnerability and Functionality Assessment using LLMs—0
Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity—0
Grammar-Based Code Representation: Is It a Worthy Pursuit for LLMs?—0
Guideline Forest: Experience-Induced Multi-Guideline Reasoning with Stepwise Aggregation—0
Self-Explained Keywords Empower Large Language Models for Code Generation—0
What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces—0
Evaluating LLM-driven User-Intent Formalization for Verification-Aware Languages—0
Interactive Code Generation via Test-Driven User-Intent Formalization—0
Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency—0
Interval-censored Hawkes processes—0
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models—0
Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval—0
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts—0
Large Language Model-Aware In-Context Learning for Code Generation—0
CodeMirage: Hallucinations in Code Generated by Large Language Models—0
Test-Driven Development for Code Generation—0
Learning to Reason via Self-Iterative Process Feedback for Small Language Models—0
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