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Papers

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Showing 26–50 of 129 papers

TitleStatusHype
MasRouter: Learning to Route LLMs for Multi-Agent SystemsCode2
What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces—0
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and DebuggingCode2
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment—0
Learning to Generate Unit Tests for Automated DebuggingCode1
ACECODER: Acing Coder RL via Automated Test-Case Synthesis—0
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks—0
Control LLM: Controlled Evolution for Intelligence Retention in LLMCode1
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement—0
HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code GenerationCode1
Learning to Reason via Self-Iterative Process Feedback for Small Language Models—0
AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement—0
Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect VerifiersCode0
Planning-Driven Programming: A Large Language Model Programming WorkflowCode1
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs—0
PerfCodeGen: Improving Performance of LLM Generated Code with Execution FeedbackCode1
VALTEST: Automated Validation of Language Model Generated Test Cases—0
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models—0
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models—0
Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models—0
Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'Code1
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization systemCode0
Aligning CodeLLMs with Direct Preference Optimization—0
Scattered Forest Search: Smarter Code Space Exploration with LLMs—0
Self-Explained Keywords Empower Large Language Models for Code Generation—0
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