Cover Image

How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Seonghyeon, Chon, Heejae, Jang, Joonwon, Lee, Dongha, Yu, Hwanjo
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation
by: Lee, Seonghyeon, et al.
Published: (2024)

Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes
by: Chon, Heejae, et al.
Published: (2024)

Exploring Language Model's Code Generation Ability with Auxiliary Functions
by: Lee, Seonghyeon, et al.
Published: (2024)

PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
by: Chen, Simin, et al.
Published: (2024)

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

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
by: Zhuo, Terry Yue, et al.
Published: (2024)

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

Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
by: Jang, Joonwon, et al.
Published: (2024)

CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
by: Islam, Md. Ashraful, et al.
Published: (2025)

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

Can ChatGPT replace StackOverflow? A Study on Robustness and Reliability of Large Language Model Code Generation
by: Zhong, Li, et al.
Published: (2023)

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

Generating Diverse Hypotheses for Inductive Reasoning
by: Lee, Kang-il, et al.
Published: (2024)

From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models
by: Xu, Zexing, et al.
Published: (2024)

How Toxic Can You Get? Search-based Toxicity Testing for Large Language Models
by: Corbo, Simone, et al.
Published: (2025)

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

Self-Explained Keywords Empower Large Language Models for Code Generation
by: Fan, Lishui, et al.
Published: (2024)

Solving Data-centric Tasks using Large Language Models
by: Barke, Shraddha, et al.
Published: (2024)

A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks
by: Dandamudi, Rohit, et al.
Published: (2024)

How Effective are Generative Large Language Models in Performing Requirements Classification?
by: Alhoshan, Waad, et al.
Published: (2025)

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

A Code Comprehension Benchmark for Large Language Models for Code
by: Havare, Jayant, et al.
Published: (2025)

Code Sharing In Prediction Model Research: A Scoping Review
by: Sounack, Thomas, et al.
Published: (2026)

Testing the Effect of Code Documentation on Large Language Model Code Understanding
by: Macke, William, et al.
Published: (2024)

VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation
by: Vijayaraghavan, Prashanth, et al.
Published: (2024)

Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models
by: Kapu, Nirmal Joshua, et al.
Published: (2024)

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

Advancing Language Models for Code-related Tasks
by: Tian, Zhao
Published: (2026)

ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages
by: Kammakomati, Mehant, et al.
Published: (2024)

Automata-Based Steering of Large Language Models for Diverse Structured Generation
by: Luan, Xiaokun, et al.
Published: (2025)

Co-Learning: Code Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfaces
by: Yu, Jiapeng, et al.
Published: (2024)

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

Can LLMs Generate Reliable Test Case Generators? A Study on Competition-Level Programming Problems
by: Cao, Yuhan, et al.
Published: (2025)

Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
by: Zhang, Ziyin, et al.
Published: (2023)

Analyzing the Performance of Large Language Models on Code Summarization
by: Haldar, Rajarshi, et al.
Published: (2024)

PERC: Plan-As-Query Example Retrieval for Underrepresented Code Generation
by: Yoo, Jaeseok, et al.
Published: (2024)

CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)

Mitigating Gender Bias in Code Large Language Models via Model Editing
by: Qin, Zhanyue, et al.
Published: (2024)

Benchmarking Large Language Models for ABAP Code Generation: An Empirical Study on Iterative Improvement by Compiler Feedback
by: Wallraven, Stephan, et al.
Published: (2026)

Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
by: Endres, Madeline, et al.
Published: (2023)