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Showing 151–175 of 264 papers

TitleStatusHype
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement—0
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference—0
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models—0
PERC: Plan-As-Query Example Retrieval for Underrepresented Code Generation—0
Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree—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
Does Few-Shot Learning Help LLM Performance in Code Synthesis?—0
Addressing Data Leakage in HumanEval Using Combinatorial Test Design—0
Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect VerifiersCode0
A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks—0
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
InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code TranslationCode0
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
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment—0
MojoBench: Language Modeling and Benchmarks for Mojo—0
Self-Evolving Multi-Agent Collaboration Networks for Software Development—0
Scattered Forest Search: Smarter Code Space Exploration with LLMs—0
Semantic-guided Search for Efficient Program Repair with Large Language Models—0
Self-Explained Keywords Empower Large Language Models for Code Generation—0
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