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Showing 51–100 of 129 papers

TitleStatusHype
RLTF: Reinforcement Learning from Unit Test FeedbackCode1
LeTI: Learning to Generate from Textual InteractionsCode1
Improving Code Generation by Training with Natural Language FeedbackCode1
ReCode: Robustness Evaluation of Code Generation ModelsCode1
Fault-Aware Neural Code RankersCode1
Program Synthesis with Large Language ModelsCode1
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
Self-Correcting Code Generation Using Small Language ModelsCode0
Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach—0
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models—0
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models—0
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts—0
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
Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval—0
Scoring Verifiers: Evaluating Synthetic Verification for Code and Reasoning—0
UnitCoder: Scalable Iterative Code Synthesis with Unit Test Guidance—0
What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces—0
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment—0
ACECODER: Acing Coder RL via Automated Test-Case Synthesis—0
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks—0
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement—0
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
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs—0
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
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
Context-Augmented Code Generation Using Programming Knowledge Graphs—0
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation GuidanceCode0
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code GenerationCode0
Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity—0
USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding—0
Prompt Baking—0
Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer—0
CodeMirage: Hallucinations in Code Generated by Large Language Models—0
Discrete Flow Matching—0
Brevity is the soul of wit: Pruning long files for code generation—0
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning—0
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