Cover Image

HGAdapter: Hypergraph-based Adapters in Language Models for Code Summarization and Clone Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Guang, Zhu, Yujie
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Investigating the Efficacy of Large Language Models for Code Clone Detection
by: Khajezade, Mohamad, et al.
Published: (2024)

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

CodeVisionary: An Agent-based Framework for Evaluating Large Language Models in Code Generation
by: Wang, Xinchen, et al.
Published: (2025)

REFLEX: Reference-Free Evaluation of Log Summarization via Large Language Model Judgment
by: Mudgal, Priyanka
Published: (2025)

CODEMENV: Benchmarking Large Language Models on Code Migration
by: Cheng, Keyuan, et al.
Published: (2025)

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
by: Guo, Jiawei, et al.
Published: (2024)

code_transformed: The Influence of Large Language Models on Code
by: Xu, Yuliang, et al.
Published: (2025)

Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification
by: Yang, Guang, et al.
Published: (2023)

Regression Language Models for Code
by: Akhauri, Yash, et al.
Published: (2025)

CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
by: Chen, Yongchao, et al.
Published: (2025)

DDPT: Diffusion-Driven Prompt Tuning for Large Language Model Code Generation
by: Li, Jinyang, et al.
Published: (2025)

What can Large Language Models Capture about Code Functional Equivalence?
by: Maveli, Nickil, et al.
Published: (2024)

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

The Struggles of LLMs in Cross-lingual Code Clone Detection
by: Moumoula, Micheline Bénédicte, et al.
Published: (2024)

Standing on the Shoulders of Giants: Stabilized Knowledge Distillation for Cross--Language Code Clone Detection
by: Khajezade, Mohamad, et al.
Published: (2026)

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
by: Yang, Dayu, et al.
Published: (2025)

Improving Code Generation by Training with Natural Language Feedback
by: Chen, Angelica, et al.
Published: (2023)

A Survey on Code Generation with LLM-based Agents
by: Dong, Yihong, et al.
Published: (2025)

RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-based Code Review Automation at Atlassian
by: Tantithamthavorn, Kla, et al.
Published: (2026)

Scaling Test-Time Compute for Agentic Coding
by: Kim, Joongwon, et al.
Published: (2026)

mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code
by: Skurla, Adam, et al.
Published: (2026)

DocAgent: A Multi-Agent System for Automated Code Documentation Generation
by: Yang, Dayu, et al.
Published: (2025)

LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models
by: Feng, Xiaoning, et al.
Published: (2022)

CodeKGC: Code Language Model for Generative Knowledge Graph Construction
by: Bi, Zhen, et al.
Published: (2023)

Towards Practical Defect-Focused Automated Code Review
by: Lu, Junyi, et al.
Published: (2025)

Tool Calling is Linearly Readable and Steerable in Language Models
by: Wu, Zekun, et al.
Published: (2026)

ReCode: Reinforcing Code Generation with Reasoning-Process Rewards
by: Fan, Lishui, et al.
Published: (2025)

From I/O to Code with Discovery Agent
by: Dong, Yihong, et al.
Published: (2026)

Let the Code LLM Edit Itself When You Edit the Code
by: He, Zhenyu, et al.
Published: (2024)

DeepCRCEval: Revisiting the Evaluation of Code Review Comment Generation
by: Lu, Junyi, et al.
Published: (2024)

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data
by: Wang, Yejie, et al.
Published: (2024)

SimClone: Detecting Tabular Data Clones using Value Similarity
by: Yang, Xu, et al.
Published: (2024)

Selective Prompt Anchoring for Code Generation
by: Tian, Yuan, et al.
Published: (2024)

KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development?
by: Jiang, Xue, et al.
Published: (2026)

CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
by: Ren, Qibing, et al.
Published: (2024)

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

Rethinking Repetition Problems of LLMs in Code Generation
by: Dong, Yihong, et al.
Published: (2025)

SWE-Protégé: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering Agents
by: Kon, Patrick Tser Jern, et al.
Published: (2026)

Scoring Verifiers: Evaluating Synthetic Verification for Code and Reasoning
by: Ficek, Aleksander, et al.
Published: (2025)

AuPair: Golden Example Pairs for Code Repair
by: Mavalankar, Aditi, et al.
Published: (2025)