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Showing 1–50 of 129 papers

TitleStatusHype
any4: Learned 4-bit Numeric Representation for LLMsCode2
EvoAgentX: An Automated Framework for Evolving Agentic WorkflowsCode7
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization—0
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models—0
Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search—0
Guideline Forest: Experience-Induced Multi-Guideline Reasoning with Stepwise Aggregation—0
Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach—0
Self-Correcting Code Generation Using Small Language ModelsCode0
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models—0
Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM WatermarkingCode1
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models—0
Rethinking Repetition Problems of LLMs in Code GenerationCode1
Web-Bench: A LLM Code Benchmark Based on Web Standards and FrameworksCode3
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts—0
DataDecide: How to Predict Best Pretraining Data with Small ExperimentsCode3
Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative ReasoningCode2
Type-Constrained Code Generation with Language Models—0
OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs—0
DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation—0
Grammar-Based Code Representation: Is It a Worthy Pursuit for LLMs?—0
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for CodingCode3
Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval—0
CodeCriticBench: A Holistic Code Critique Benchmark for Large Language ModelsCode1
Scoring Verifiers: Evaluating Synthetic Verification for Code and Reasoning—0
UnitCoder: Scalable Iterative Code Synthesis with Unit Test Guidance—0
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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