Copertina

Multi-Programming Language Ensemble for Code Generation in Large Language Model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xue, Tengfei, Li, Xuefeng, Azim, Tahir, Smirnov, Roman, Yu, Jianhui, Sadrieh, Arash, Pahlavan, Babak
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

NinjaLLM: Fast, Scalable and Cost-effective RAG using Amazon SageMaker and AWS Trainium and Inferentia2
di: Xue, Tengfei, et al.
Pubblicazione: (2024)

ChatGPT or A Silent Everywhere Helper: A Survey of Large Language Models
di: Akhtarshenas, Azim, et al.
Pubblicazione: (2025)

Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
di: Ashiga, Mari, et al.
Pubblicazione: (2025)

M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models
di: Guo, Jiaxin, et al.
Pubblicazione: (2024)

Safety-Aware Fine-Tuning of Large Language Models
di: Choi, Hyeong Kyu, et al.
Pubblicazione: (2024)

Exploring Data-Efficient Adaptation of Large Language Models for Code Generation
di: Jiang, Xue, et al.
Pubblicazione: (2024)

Training Language Models to Generate Quality Code with Program Analysis Feedback
di: Yao, Feng, et al.
Pubblicazione: (2025)

Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks
di: Barati, Iman, et al.
Pubblicazione: (2025)

CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models
di: Fu, Lingyue, et al.
Pubblicazione: (2023)

Prompting Strategies for Language Model-Based Item Generation in K-12 Education: Bridging the Gap Between Small and Large Language Models
di: Amini, Mohammad, et al.
Pubblicazione: (2025)

The Thinking Therapist: Training Large Language Models to Deliver Acceptance and Commitment Therapy using Supervised Fine-Tuning and Odds Ratio Policy Optimization
di: Tahir, Talha
Pubblicazione: (2025)

Anchor-based Large Language Models
di: Pang, Jianhui, et al.
Pubblicazione: (2024)

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
di: Huang, Yiming, et al.
Pubblicazione: (2024)

Large Language Models Are Still Misled by Simple Bias Ensembles
di: Sun, Zhouhao, et al.
Pubblicazione: (2025)

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
di: Yao, Yuxuan, et al.
Pubblicazione: (2024)

Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation
di: Hou, Shuyang, et al.
Pubblicazione: (2024)

DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation
di: Hu, Wenhao, et al.
Pubblicazione: (2025)

Exploring Large Language Models for Detecting Mental Disorders
di: Kuzmin, Gleb, et al.
Pubblicazione: (2024)

MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts
di: Wang, Qing, et al.
Pubblicazione: (2025)

SpecFuse: Ensembling Large Language Models via Next-Segment Prediction
di: Lv, Bo, et al.
Pubblicazione: (2024)

CodeMirage: Hallucinations in Code Generated by Large Language Models
di: Agarwal, Vibhor, et al.
Pubblicazione: (2024)

Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models
di: Zheng, Jiasheng, et al.
Pubblicazione: (2024)

Perish or Flourish? A Holistic Evaluation of Large Language Models for Code Generation in Functional Programming
di: Lang, Nguyet-Anh H., et al.
Pubblicazione: (2026)

Ensemble Debates with Local Large Language Models for AI Alignment
di: Sarabamoun, Ephraiem
Pubblicazione: (2025)

ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
di: Zhang, Qing, et al.
Pubblicazione: (2025)

GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
di: Zhang, Ziyin, et al.
Pubblicazione: (2024)

Large Language Models as Code Executors: An Exploratory Study
di: Lyu, Chenyang, et al.
Pubblicazione: (2024)

A Survey on Large Language Models for Code Generation
di: Jiang, Juyong, et al.
Pubblicazione: (2024)

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
di: Abtahi, Seyed Moein, et al.
Pubblicazione: (2025)

An Application of Large Language Models to Coding Negotiation Transcripts
di: Friedman, Ray, et al.
Pubblicazione: (2024)

Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
di: Wang, Rui, et al.
Pubblicazione: (2025)

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
di: Wei, Tianxin, et al.
Pubblicazione: (2024)

CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
di: Wang, Peiding, et al.
Pubblicazione: (2025)

Purifying Large Language Models by Ensembling a Small Language Model
di: Li, Tianlin, et al.
Pubblicazione: (2024)

Simplex-Optimized Hybrid Ensemble for Large Language Model Text Detection Under Generative Distribution Drif
di: Kristanto, Sepyan Purnama, et al.
Pubblicazione: (2025)

CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
di: Yu, Huimu, et al.
Pubblicazione: (2024)

Exploring LLM biases to manipulate AI search overview
di: Smirnov, Roman
Pubblicazione: (2026)

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
di: Dong, Honghua, et al.
Pubblicazione: (2024)

Coding Triangle: How Does Large Language Model Understand Code?
di: Zhang, Taolin, et al.
Pubblicazione: (2025)

ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models
di: Han, Hojae, et al.
Pubblicazione: (2024)