Cover Image

Advanced Black-Box Tuning of Large Language Models with Limited API Calls

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Zhikang, Wan, Weilin, Gong, Peizhu, Zhang, Weizhong, Jin, Cheng
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Investigating Advanced Reasoning of Large Language Models via Black-Box Environment Interaction
by: Yin, Congchi, et al.
Published: (2025)

Large Language Model Compression with Global Rank and Sparsity Optimization
by: Zhou, Changhai, et al.
Published: (2025)

Black-Box On-Policy Distillation of Large Language Models
by: Ye, Tianzhu, et al.
Published: (2025)

Diffusion Large Language Models for Black-Box Optimization
by: Yuan, Ye, et al.
Published: (2026)

API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
by: Guo, Zhen, et al.
Published: (2024)

Jailbreaking Black Box Large Language Models in Twenty Queries
by: Chao, Patrick, et al.
Published: (2023)

Enhancing the Capabilities of Large Language Models for API calls through Knowledge Graphs
by: Yang, Ye, et al.
Published: (2025)

Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models
by: Chen, Zhuo, et al.
Published: (2024)

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
by: Sun, Haotian, et al.
Published: (2024)

OASBuilder: Generating OpenAPI Specifications from Online API Documentation with Large Language Models
by: Lazar, Koren, et al.
Published: (2025)

Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning
by: Zhang, Mingtian, et al.
Published: (2024)

Prefill-level Jailbreak: A Black-Box Risk Analysis of Large Language Models
by: Li, Yakai, et al.
Published: (2025)

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives
by: Sun, Qiushi, et al.
Published: (2023)

ExecTune: Effective Steering of Black-Box LLMs with Guide Models
by: Lingam, Vijay, et al.
Published: (2026)

You've Changed: Detecting Modification of Black-Box Large Language Models
by: Dima, Alden, et al.
Published: (2025)

Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models
by: Mahmud, Saaduddin, et al.
Published: (2025)

MagicFace: Training-free Universal-Style Human Image Customized Synthesis
by: Wang, Yibin, et al.
Published: (2024)

Looking into Black Box Code Language Models
by: Haider, Muhammad Umair, et al.
Published: (2024)

API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
by: Su, Jiayuan, et al.
Published: (2024)

Large Language Model Confidence Estimation via Black-Box Access
by: Pedapati, Tejaswini, et al.
Published: (2024)

Behavioral Consistency and Transparency Analysis on Large Language Model API Gateways
by: Lin, Guanjie, et al.
Published: (2026)

From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models
by: Li, Xinyang, et al.
Published: (2025)

Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization
by: Guan, Jiwei, et al.
Published: (2026)

Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic Hierarchies
by: Zhou, Changhai, et al.
Published: (2025)

Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models
by: Li, Hao, et al.
Published: (2024)

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models
by: Lv, Peizhuo, et al.
Published: (2025)

Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
by: Pasewark, Eric, et al.
Published: (2024)

DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model
by: Zhao, Lirui, et al.
Published: (2024)

Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning
by: Tsai, Yao-Hung Hubert, et al.
Published: (2024)

NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
by: Basu, Kinjal, et al.
Published: (2024)

Opening the Black Box: A Survey on the Mechanisms of Multi-Step Reasoning in Large Language Models
by: Pan, Liangming, et al.
Published: (2026)

Transferable & Stealthy Ensemble Attacks: A Black-Box Jailbreaking Framework for Large Language Models
by: Yang, Yiqi, et al.
Published: (2024)

Computational Budget Should Be Considered in Data Selection
by: Wan, Weilin, et al.
Published: (2025)

PAL: Proxy-Guided Black-Box Attack on Large Language Models
by: Sitawarin, Chawin, et al.
Published: (2024)

Instruction-Following Evaluation in Function Calling for Large Language Models
by: Skripko, Nikolai
Published: (2025)

On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models
by: Wang, Shumin, et al.
Published: (2026)

Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine
by: Yao, Michael S., et al.
Published: (2025)

Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models
by: Huang, Chung-ju, et al.
Published: (2026)

Large Language Models for Networking: Workflow, Advances and Challenges
by: Liu, Chang, et al.
Published: (2024)

Evaluating Retrieval-Augmented Generation Variants for Natural Language-Based SQL and API Call Generation
by: Marketsmüller, Michael, et al.
Published: (2026)