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Showing 101–125 of 129 papers

TitleStatusHype
Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency—0
Evaluating LLM-driven User-Intent Formalization for Verification-Aware Languages—0
PLUM: Improving Code LMs with Execution-Guided On-Policy Preference Learning Driven By Synthetic Test Cases—0
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation—0
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting—0
NExT: Teaching Large Language Models to Reason about Code Execution—0
Comments as Natural Logic Pivots: Improve Code Generation via Comment PerspectiveCode0
SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents—0
Software Vulnerability and Functionality Assessment using LLMs—0
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code—0
Test-Driven Development for Code Generation—0
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision—0
PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs—0
Instruction Fusion: Advancing Prompt Evolution through HybridizationCode0
ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity—0
Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data—0
Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for Code Generation—0
Large Language Model-Aware In-Context Learning for Code Generation—0
The Program Testing Ability of Large Language Models for Code—0
Enhancing Large Language Models in Coding Through Multi-Perspective Self-ConsistencyCode0
Textbooks Are All You Need—0
Structured Chain-of-Thought Prompting for Code Generation—0
Teaching Large Language Models to Self-DebugCode0
AceCoder: Utilizing Existing Code to Enhance Code Generation—0
Underwater Object Tracker: UOSTrack for Marine Organism Grasping of Underwater VehiclesCode0
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