MANTRA: a Framework for Multi-stage Adaptive Noise TReAtment During Training
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Zixiao, Fard, Fatemeh H., Wu, Jie JW |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering
by: Zhao, Zixiao, et al.
Published: (2026)
by: Zhao, Zixiao, et al.
Published: (2026)
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
by: Dehghan, Meghdad, et al.
Published: (2024)
by: Dehghan, Meghdad, et al.
Published: (2024)
Studying Vulnerable Code Entities in R
by: Zhao, Zixiao, et al.
Published: (2024)
by: Zhao, Zixiao, et al.
Published: (2024)
HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent
by: Wu, Jie JW, et al.
Published: (2024)
by: Wu, Jie JW, et al.
Published: (2024)
Do Current Language Models Support Code Intelligence for R Programming Language?
by: Zhao, ZiXiao, et al.
Published: (2024)
by: Zhao, ZiXiao, et al.
Published: (2024)
ARISE: A Repository-level Graph Representation and Toolset for Agentic Fault Localization and Program Repair
by: Seddik, Shahd, et al.
Published: (2026)
by: Seddik, Shahd, et al.
Published: (2026)
Large Language Models Should Ask Clarifying Questions to Increase Confidence in Generated Code
by: Wu, Jie JW
Published: (2023)
by: Wu, Jie JW
Published: (2023)
Empirical Studies of Parameter Efficient Methods for Large Language Models of Code and Knowledge Transfer to R
by: Esmaeili, Amirreza, et al.
Published: (2024)
by: Esmaeili, Amirreza, et al.
Published: (2024)
Investigating the Efficacy of Large Language Models for Code Clone Detection
by: Khajezade, Mohamad, et al.
Published: (2024)
by: Khajezade, Mohamad, et al.
Published: (2024)
A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages
by: Joel, Sathvik, et al.
Published: (2024)
by: Joel, Sathvik, et al.
Published: (2024)
Context-Augmented Code Generation Using Programming Knowledge Graphs
by: Saberi, Iman, et al.
Published: (2024)
by: Saberi, Iman, 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)
by: Khajezade, Mohamad, et al.
Published: (2026)
Collaborative Agents for Automated Program Repair in Ruby
by: Akbarpour, Nikta, et al.
Published: (2025)
by: Akbarpour, Nikta, et al.
Published: (2025)
Analysis of AdvFusion: Adapter-based Multilingual Learning for Code Large Language Models
by: Esmaeili, Amirreza, et al.
Published: (2025)
by: Esmaeili, Amirreza, et al.
Published: (2025)
Can Code Language Models Learn Clarification-Seeking Behaviors?
by: Wu, Jie JW, et al.
Published: (2025)
by: Wu, Jie JW, et al.
Published: (2025)
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities
by: Ma, Wei, et al.
Published: (2022)
by: Ma, Wei, et al.
Published: (2022)
An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering Perspective
by: Wu, Jie JW
Published: (2023)
by: Wu, Jie JW
Published: (2023)
AutoOffAB: Toward Automated Offline A/B Testing for Data-Driven Requirement Engineering
by: Wu, Jie JW
Published: (2023)
by: Wu, Jie JW
Published: (2023)
ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training
by: Saxena, Shreya, et al.
Published: (2025)
by: Saxena, Shreya, et al.
Published: (2025)
A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement
by: Zhang, Huan, et al.
Published: (2024)
by: Zhang, Huan, et al.
Published: (2024)
MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt Evolution
by: Wu, Zihan, et al.
Published: (2026)
by: Wu, Zihan, et al.
Published: (2026)
Coding in a Bubble? Evaluating LLMs in Resolving Context Adaptation Bugs During Code Adaptation
by: Zhang, Tanghaoran, et al.
Published: (2026)
by: Zhang, Tanghaoran, et al.
Published: (2026)
Adaptive Root Cause Localization for Microservice Systems with Multi-Agent Recursion-of-Thought
by: Zhang, Lingzhe, et al.
Published: (2025)
by: Zhang, Lingzhe, et al.
Published: (2025)
Adaptive Confidence Gating in Multi-Agent Collaboration for Efficient and Optimized Code Generation
by: Zhang, Haoji, et al.
Published: (2026)
by: Zhang, Haoji, et al.
Published: (2026)
ALMAS: an Autonomous LLM-based Multi-Agent Software Engineering Framework
by: Tawosi, Vali, et al.
Published: (2025)
by: Tawosi, Vali, et al.
Published: (2025)
MAO: A Framework for Process Model Generation with Multi-Agent Orchestration
by: Lin, Leilei, et al.
Published: (2024)
by: Lin, Leilei, et al.
Published: (2024)
Agentic DAG-Orchestrated Planner Framework for Multi-Modal, Multi-Hop Question Answering in Hybrid Data Lakes
by: B, Kirushikesh D, et al.
Published: (2026)
by: B, Kirushikesh D, et al.
Published: (2026)
Can LLMs Replace Humans During Code Chunking?
by: Glasz, Christopher, et al.
Published: (2025)
by: Glasz, Christopher, et al.
Published: (2025)
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
by: Tao, Wei, et al.
Published: (2024)
by: Tao, Wei, et al.
Published: (2024)
Generating Minimalist Adversarial Perturbations to Test Object-Detection Models: An Adaptive Multi-Metric Evolutionary Search Approach
by: McIntyre-Garcia, Cristopher, et al.
Published: (2024)
by: McIntyre-Garcia, Cristopher, et al.
Published: (2024)
OrcaLoca: An LLM Agent Framework for Software Issue Localization
by: Yu, Zhongming, et al.
Published: (2025)
by: Yu, Zhongming, et al.
Published: (2025)
ASA: Training-Free Representation Engineering for Tool-Calling Agents
by: Wang, Youjin, et al.
Published: (2026)
by: Wang, Youjin, et al.
Published: (2026)
QuanForge: A Mutation Testing Framework for Quantum Neural Networks
by: Shao, Minqi, et al.
Published: (2026)
by: Shao, Minqi, et al.
Published: (2026)
RefAgent: A Multi-agent LLM-based Framework for Automatic Software Refactoring
by: Oueslati, Khouloud, et al.
Published: (2025)
by: Oueslati, Khouloud, et al.
Published: (2025)
CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems
by: Lyu, Zongyi, et al.
Published: (2026)
by: Lyu, Zongyi, et al.
Published: (2026)
AgentForge: Execution-Grounded Multi-Agent LLM Framework for Autonomous Software Engineering
by: Kumar, Rajesh, et al.
Published: (2026)
by: Kumar, Rajesh, et al.
Published: (2026)
MANTRA: Enhancing Automated Method-Level Refactoring with Contextual RAG and Multi-Agent LLM Collaboration
by: Xu, Yisen, et al.
Published: (2025)
by: Xu, Yisen, et al.
Published: (2025)
GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
by: Wu, Jie JW, et al.
Published: (2025)
by: Wu, Jie JW, et al.
Published: (2025)
AgentMesh: A Cooperative Multi-Agent Generative AI Framework for Software Development Automation
by: Khanzadeh, Sourena
Published: (2025)
by: Khanzadeh, Sourena
Published: (2025)
Z-Space: A Multi-Agent Tool Orchestration Framework for Enterprise-Grade LLM Automation
by: He, Qingsong, et al.
Published: (2025)
by: He, Qingsong, et al.
Published: (2025)
Similar Items
-
Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering
by: Zhao, Zixiao, et al.
Published: (2026) -
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
by: Dehghan, Meghdad, et al.
Published: (2024) -
Studying Vulnerable Code Entities in R
by: Zhao, Zixiao, et al.
Published: (2024) -
HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent
by: Wu, Jie JW, et al.
Published: (2024) -
Do Current Language Models Support Code Intelligence for R Programming Language?
by: Zhao, ZiXiao, et al.
Published: (2024)