Cover Image

CBP-Tuning: Efficient Local Customization for Black-box Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Jiaxuan, Gu, Naibin, Feng, Yuchen, Liu, Xiyu, Fu, Peng, Lin, Zheng, Wang, Weiping
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models
by: Gu, Naibin, et al.
Published: (2025)

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts
by: Feng, Yuchen, et al.
Published: (2025)

Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
by: Gu, Naibin, et al.
Published: (2024)

Causal Path Alignment: Anchoring the Optimization Trajectory for Controllable In-Parameter Knowledge Editing
by: Liu, Xiyu, et al.
Published: (2025)

Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
by: Liu, Xiyu, et al.
Published: (2024)

Beyond the Covariance Trap: Unlocking Generalization in Same-Subject Knowledge Editing for Large Language Models
by: Liu, Xiyu, et al.
Published: (2026)

Advantageous Parameter Expansion Training Makes Better Large Language Models
by: Gu, Naibin, et al.
Published: (2025)

BeamLoRA: Beam-Constraint Low-Rank Adaptation
by: Gu, Naibin, et al.
Published: (2025)

Weights-Rotated Preference Optimization for Large Language Models
by: Yang, Chenxu, et al.
Published: (2025)

MIST: Jailbreaking Black-box Large Language Models via Iterative Semantic Tuning
by: Zheng, Muyang, et al.
Published: (2025)

Black-box Prompt Tuning with Subspace Learning
by: Zheng, Yuanhang, et al.
Published: (2023)

Elastic MoE: Unlocking the Inference-Time Scalability of Mixture-of-Experts
by: Gu, Naibin, et al.
Published: (2025)

Are Large Language Models Table-based Fact-Checkers?
by: Zhang, Hanwen, et al.
Published: (2024)

Knowledge Editing on Black-box Large Language Models
by: Song, Xiaoshuai, et al.
Published: (2024)

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
by: Lin, Zhen, et al.
Published: (2023)

Can LoRA Fusion Support Cross-Domain Tasks in Cloud-Edge Collaboration?
by: Wang, Yatong, et al.
Published: (2026)

Parameter-Efficient Fine-Tuning with Differential Privacy for Robust Instruction Adaptation in Large Language Models
by: Huang, Yulin, et al.
Published: (2025)

ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook
by: Sun, Wangtao, et al.
Published: (2023)

BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models
by: Li, Haitao, et al.
Published: (2024)

ImF: Implicit Fingerprint for Large Language Models
by: Wu, Jiaxuan, et al.
Published: (2025)

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
by: Gu, Yiyang, et al.
Published: (2026)

Length Controlled Generation for Black-box LLMs
by: Gu, Yuxuan, et al.
Published: (2024)

Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting
by: Xia, Heming, et al.
Published: (2025)

ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage
by: Ye, Wenhao, et al.
Published: (2025)

Self-Distilled RLVR
by: Yang, Chenxu, et al.
Published: (2026)

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
by: Chen, Zehui, et al.
Published: (2024)

RECKON: Large-scale Reference-based Efficient Knowledge Evaluation for Large Language Model
by: Zhang, Lin, et al.
Published: (2025)

Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning
by: Liu, Xinyue, et al.
Published: (2024)

Discrete Prompt Tuning via Recursive Utilization of Black-box Multimodal Large Language Model for Personalized Visual Emotion Recognition
by: Takahashi, Ryo, et al.
Published: (2025)

BadApex: Backdoor Attack Based on Adaptive Optimization Mechanism of Black-box Large Language Models
by: Wu, Zhengxian, et al.
Published: (2025)

Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations
by: Shen, Bowen, et al.
Published: (2024)

Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models
by: Feng, Wenfeng, et al.
Published: (2024)

Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation
by: Zhang, Bo, et al.
Published: (2025)

Large Language Model Use Impact Locus of Control
by: Fu, Jenny Xiyu, et al.
Published: (2025)

NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables
by: Wang, Lanrui, et al.
Published: (2025)

Self-Evaluation of Large Language Model based on Glass-box Features
by: Huang, Hui, et al.
Published: (2024)

Generative Text Steganography with Large Language Model
by: Wu, Jiaxuan, et al.
Published: (2024)

Orthogonal Finetuning for Direct Preference Optimization
by: Yang, Chenxu, et al.
Published: (2024)

Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment
by: Liu, Yufan, et al.
Published: (2024)

System 1&2 Synergy via Dynamic Model Interpolation
by: Yang, Chenxu, et al.
Published: (2026)