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Showing 101–129 of 129 papers

TitleStatusHype
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks—0
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment—0
UnitCoder: Scalable Iterative Code Synthesis with Unit Test Guidance—0
Aligning CodeLLMs with Direct Preference Optimization—0
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models—0
VALTEST: Automated Validation of Language Model Generated Test Cases—0
ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity—0
Context-Augmented Code Generation Using Programming Knowledge Graphs—0
AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement—0
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization—0
ACECODER: Acing Coder RL via Automated Test-Case Synthesis—0
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
Software Vulnerability and Functionality Assessment using LLMs—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
Instruction Fusion: Advancing Prompt Evolution through HybridizationCode0
Comments as Natural Logic Pivots: Improve Code Generation via Comment PerspectiveCode0
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code GenerationCode0
Enhancing Large Language Models in Coding Through Multi-Perspective Self-ConsistencyCode0
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization systemCode0
Teaching Large Language Models to Self-DebugCode0
Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect VerifiersCode0
Self-Correcting Code Generation Using Small Language ModelsCode0
CodePAD: Sequence-based Code Generation with Pushdown AutomatonCode0
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation GuidanceCode0
Underwater Object Tracker: UOSTrack for Marine Organism Grasping of Underwater VehiclesCode0
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