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Showing 1–25 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
Rethinking Repetition Problems of LLMs in Code GenerationCode1
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models—0
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
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