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Showing 51–100 of 129 papers

TitleStatusHype
Rethinking Repetition Problems of LLMs in Code GenerationCode1
RLTF: Reinforcement Learning from Unit Test FeedbackCode1
EffiLearner: Enhancing Efficiency of Generated Code via Self-OptimizationCode1
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-ContrastCode1
Unsupervised Evaluation of Code LLMs with Round-Trip CorrectnessCode1
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-ExpertsCode1
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation GuidanceCode0
Comments as Natural Logic Pivots: Improve Code Generation via Comment PerspectiveCode0
CodePAD: Sequence-based Code Generation with Pushdown AutomatonCode0
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization systemCode0
Teaching Large Language Models to Self-DebugCode0
Self-Correcting Code Generation Using Small Language ModelsCode0
Instruction Fusion: Advancing Prompt Evolution through HybridizationCode0
Underwater Object Tracker: UOSTrack for Marine Organism Grasping of Underwater VehiclesCode0
Enhancing Large Language Models in Coding Through Multi-Perspective Self-ConsistencyCode0
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code GenerationCode0
Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect VerifiersCode0
Textbooks Are All You Need—0
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code—0
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models—0
Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer—0
Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for Code Generation—0
USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding—0
The Program Testing Ability of Large Language Models for Code—0
The Stack: 3 TB of permissively licensed source code—0
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision—0
Brevity is the soul of wit: Pruning long files for code generation—0
NExT: Teaching Large Language Models to Reason about Code Execution—0
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement—0
OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs—0
PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs—0
AceCoder: Utilizing Existing Code to Enhance Code Generation—0
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models—0
Type-Constrained Code Generation with Language Models—0
PLUM: Improving Code LMs with Execution-Guided On-Policy Preference Learning Driven By Synthetic Test Cases—0
SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents—0
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting—0
Prompt Baking—0
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning—0
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
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