Code for PromiseTune
Fuente:
Zenodo
Saved in:
| Main Author: | Chen, Pengzhou |
|---|---|
| Format: | Recurso digital |
| Published: |
Zenodo
2025
|
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PromiseTune: Unveiling Causally Promising and Explainable Configuration Tuning
by: Chen, Pengzhou, et al.
Published: (2025)
by: Chen, Pengzhou, et al.
Published: (2025)
MMO: Meta Multi-Objectivization for Software Configuration Tuning
by: Chen, Pengzhou, et al.
Published: (2021)
by: Chen, Pengzhou, et al.
Published: (2021)
Accuracy Can Lie: On the Impact of Surrogate Model in Configuration Tuning
by: Chen, Pengzhou, et al.
Published: (2025)
by: Chen, Pengzhou, et al.
Published: (2025)
Unveiling Many Faces of Surrogate Models for Configuration Tuning: A Fitness Landscape Analysis Perspective
by: Chen, Pengzhou, et al.
Published: (2025)
by: Chen, Pengzhou, et al.
Published: (2025)
CDS4RAG: Cyclic Dual-Sequential Hyperparameter Optimization for RAG
by: Chen, Pengzhou, et al.
Published: (2026)
by: Chen, Pengzhou, et al.
Published: (2026)
Promise and Peril of Collaborative Code Generation Models: Balancing Effectiveness and Memorization
by: Chen, Zhi, et al.
Published: (2024)
by: Chen, Zhi, et al.
Published: (2024)
MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network
by: Cheng, Pengzhou, et al.
Published: (2024)
by: Cheng, Pengzhou, et al.
Published: (2024)
Promise Not to Promise!
Published: (2024)
Published: (2024)
Promises, Promises
by: Braxton, Barbara
Published: (2005)
by: Braxton, Barbara
Published: (2005)
Promises, Perils, and (Timely) Heuristics for Mining Coding Agent Activity
by: Robbes, Romain, et al.
Published: (2026)
by: Robbes, Romain, et al.
Published: (2026)
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space
by: Wu, Zongru, et al.
Published: (2024)
by: Wu, Zongru, et al.
Published: (2024)
Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation using Rein to Fine-tune Vision Foundation Models
by: Cai, Pengzhou, et al.
Published: (2024)
by: Cai, Pengzhou, et al.
Published: (2024)
Pubic Symphysis-Fetal Head Segmentation Using Pure Transformer with Bi-level Routing Attention
by: Cai, Pengzhou, et al.
Published: (2023)
by: Cai, Pengzhou, et al.
Published: (2023)
Option Agreement and the Promise to Contract as Established in the New Romanian Civil Code
by: Urs Ilie
Published: (2013)
by: Urs Ilie
Published: (2013)
LLMSYS-HPOBench: Hyperparameter Optimization Benchmark Suite for Real-World LLM Systems
by: Wu, Siyu, et al.
Published: (2026)
by: Wu, Siyu, et al.
Published: (2026)
ASMA-Tune: Unlocking LLMs' Assembly Code Comprehension via Structural-Semantic Instruction Tuning
by: Wang, Xinyi, et al.
Published: (2025)
by: Wang, Xinyi, et al.
Published: (2025)
Code Comparison Tuning for Code Large Language Models
by: Jiang, Yufan, et al.
Published: (2024)
by: Jiang, Yufan, et al.
Published: (2024)
Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach
by: Liu, Haiyang, et al.
Published: (2024)
by: Liu, Haiyang, et al.
Published: (2024)
ML-Promise: A Multilingual Dataset for Corporate Promise Verification
by: Seki, Yohei, et al.
Published: (2024)
by: Seki, Yohei, et al.
Published: (2024)
The Promise and the Promises of Making in Science Education
by: Bevan, Bronwyn
Published: (2017)
by: Bevan, Bronwyn
Published: (2017)
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
by: Lv, Weijie, et al.
Published: (2024)
by: Lv, Weijie, et al.
Published: (2024)
GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents
by: Wu, Zheng, et al.
Published: (2025)
by: Wu, Zheng, et al.
Published: (2025)
Instruction Tuning for Secure Code Generation
by: He, Jingxuan, et al.
Published: (2024)
by: He, Jingxuan, et al.
Published: (2024)
Pubic Symphysis-Fetal Head Segmentation Network Using BiFormer Attention Mechanism and Multipath Dilated Convolution
by: Cai, Pengzhou, et al.
Published: (2024)
by: Cai, Pengzhou, et al.
Published: (2024)
Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining
by: Wu, Zongru, et al.
Published: (2024)
by: Wu, Zongru, et al.
Published: (2024)
Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows
by: Ayala, Orlando Marquez, et al.
Published: (2025)
by: Ayala, Orlando Marquez, et al.
Published: (2025)
On Unified Prompt Tuning for Request Quality Assurance in Public Code Review
by: Chen, Xinyu, et al.
Published: (2024)
by: Chen, Xinyu, et al.
Published: (2024)
Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study
by: Amiri, Mitra, et al.
Published: (2024)
by: Amiri, Mitra, et al.
Published: (2024)
CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection
by: Feng, Ruijun, et al.
Published: (2025)
by: Feng, Ruijun, et al.
Published: (2025)
Iterative Method for Tuning Complex Simulation Code
by: Seo, Yun Am, et al.
Published: (2020)
by: Seo, Yun Am, et al.
Published: (2020)
On the Usefulness of Promises
by: Austrin, Per, et al.
Published: (2025)
by: Austrin, Per, et al.
Published: (2025)
The Promise of Prosperity
Published: (2019)
Published: (2019)
The Promise of Pakistan
by: Mc CARRY, JHON
Published: (1997)
by: Mc CARRY, JHON
Published: (1997)
Reliance as Promise
by: Yehuda Adar, et al.
Published: (2026)
by: Yehuda Adar, et al.
Published: (2026)
Fine-Tuning Pre-Trained Code Models for AI-Generated Code Detection
by: Ispas, Jany-Gabriel, et al.
Published: (2026)
by: Ispas, Jany-Gabriel, et al.
Published: (2026)
SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer
by: Cheng, Pengzhou, et al.
Published: (2024)
by: Cheng, Pengzhou, et al.
Published: (2024)
SafeTune: Mitigating Data Poisoning in LLM Fine-Tuning for RTL Code Generation
by: Rezakhani, Mahshid, et al.
Published: (2026)
by: Rezakhani, Mahshid, et al.
Published: (2026)
InstructCoder: Instruction Tuning Large Language Models for Code Editing
by: Li, Kaixin, et al.
Published: (2023)
by: Li, Kaixin, et al.
Published: (2023)
VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation
by: Ni, Yuansheng, et al.
Published: (2025)
by: Ni, Yuansheng, et al.
Published: (2025)
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data
by: Wang, Yejie, et al.
Published: (2024)
by: Wang, Yejie, et al.
Published: (2024)
Similar Items
-
PromiseTune: Unveiling Causally Promising and Explainable Configuration Tuning
by: Chen, Pengzhou, et al.
Published: (2025) -
MMO: Meta Multi-Objectivization for Software Configuration Tuning
by: Chen, Pengzhou, et al.
Published: (2021) -
Accuracy Can Lie: On the Impact of Surrogate Model in Configuration Tuning
by: Chen, Pengzhou, et al.
Published: (2025) -
Unveiling Many Faces of Surrogate Models for Configuration Tuning: A Fitness Landscape Analysis Perspective
by: Chen, Pengzhou, et al.
Published: (2025) -
CDS4RAG: Cyclic Dual-Sequential Hyperparameter Optimization for RAG
by: Chen, Pengzhou, et al.
Published: (2026)