Cover Image

Functional Programming Paradigm of Python for Scientific Computation Pipeline Integration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Chen, Jia, Lecheng, Zhang, Wei, Wen, Ning
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computational Engineering, Finance, and Science Programming Languages Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SmartEval: A Benchmark for Evaluating LLM-Generated Smart Contracts from Natural Language Specifications
by: Goel, Abhinav, et al.
Published: (2026)

The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering
by: Li, Hao, et al.
Published: (2025)

Real-Time Performance Optimization of Travel Reservation Systems Using AI and Microservices
by: Barua, Biman, et al.
Published: (2024)

Enhancing Resilience and Scalability in Travel Booking Systems: A Microservices Approach to Fault Tolerance, Load Balancing, and Service Discovery
by: Barua, Biman, et al.
Published: (2024)

Is Programming by Example solved by LLMs?
by: Li, Wen-Ding, et al.
Published: (2024)

Phyelds: A Pythonic Framework for Aggregate Computing
by: Aguzzi, Gianluca, et al.
Published: (2026)

EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence Checking
by: Wei, Anjiang, et al.
Published: (2025)

ScenicNL: Generating Probabilistic Scenario Programs from Natural Language
by: Elmaaroufi, Karim, et al.
Published: (2024)

A Joint Learning Model with Variational Interaction for Multilingual Program Translation
by: Du, Yali, et al.
Published: (2024)

Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates
by: Hooda, Ashish, et al.
Published: (2024)

Linguacodus: A Synergistic Framework for Transformative Code Generation in Machine Learning Pipelines
by: Trofimova, Ekaterina, et al.
Published: (2024)

HDLdebugger: Streamlining HDL debugging with Large Language Models
by: Yao, Xufeng, et al.
Published: (2024)

Utilizing Modern Large Language Models (LLM) for Financial Trend Analysis and Digest Creation
by: Lazarev, Andrei, et al.
Published: (2025)

Automated Test Data Generation for Enterprise Protobuf Systems: A Metaclass-Enhanced Statistical Approach
by: Du, Y.
Published: (2025)

Understanding Tool-Augmented Agents for Lean Formalization: A Factorial Analysis
by: Zhang, Ke, et al.
Published: (2026)

Comparative Evaluation of Embedding Representations for Financial News Sentiment Analysis
by: Roy, Joyjit, et al.
Published: (2025)

VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large Language Model, and Tree Search
by: Brandfonbrener, David, et al.
Published: (2024)

Large Language Models Synergize with Automated Machine Learning
by: Xu, Jinglue, et al.
Published: (2024)

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets
by: Liu, Zuxin, et al.
Published: (2024)

ReGAL: Refactoring Programs to Discover Generalizable Abstractions
by: Stengel-Eskin, Elias, et al.
Published: (2024)

Encoding architecture algebra
by: Bersier, Stephane, et al.
Published: (2024)

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
by: Ma, Pingchuan, et al.
Published: (2024)

JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language Models
by: Cao, Jialun, et al.
Published: (2024)

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono
by: Wang, Jingquan, et al.
Published: (2025)

Incoherence as Oracle-less Measure of Error in LLM-Based Code Generation
by: Valentin, Thomas, et al.
Published: (2025)

FormalSpecCpp: A Dataset of C++ Formal Specifications created using LLMs
by: Chakraborty, Madhurima, et al.
Published: (2025)

ChatDBG: Augmenting Debugging with Large Language Models
by: Levin, Kyla H., et al.
Published: (2024)

On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study
by: Mir, Amir M., et al.
Published: (2024)

Large Language Models for Code Summarization
by: Szalontai, Balázs, et al.
Published: (2024)

DafnyBench: A Benchmark for Formal Software Verification
by: Loughridge, Chloe, et al.
Published: (2024)

PerfRL: A Small Language Model Framework for Efficient Code Optimization
by: Duan, Shukai, et al.
Published: (2023)

MonoCoder: Domain-Specific Code Language Model for HPC Codes and Tasks
by: Kadosh, Tal, et al.
Published: (2023)

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3
by: Sadik, Ahmed R., et al.
Published: (2025)

Representing Prompting Patterns with PDL: Compliance Agent Case Study
by: Vaziri, Mandana, et al.
Published: (2025)

FlakyGuard: Automatically Fixing Flaky Tests at Industry Scale
by: Li, Chengpeng, et al.
Published: (2025)

APRIL: API Synthesis with Automatic Prompt Optimization and Reinforcement Learning
by: Zhong, Hua, et al.
Published: (2025)

A Multi-Expert Large Language Model Architecture for Verilog Code Generation
by: Nadimi, Bardia, et al.
Published: (2024)

Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions
by: Cassano, Federico, et al.
Published: (2023)

MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
by: Yang, Zonglin, et al.
Published: (2025)

AInsteinBench: Benchmarking Coding Agents on Scientific Repositories
by: Duston, Titouan, et al.
Published: (2025)