Cover Image

Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ren, Yanwei, Liu, Liu, Yu, Baosheng, Qiu, Jiayan, Chen, Quan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Correct for QA Reasoning with Black-box LLMs
by: Kim, Jaehyung, et al.
Published: (2024)

Online Personalizing White-box LLMs Generation with Neural Bandits
by: Chen, Zekai, et al.
Published: (2024)

Towards LLM-guided Causal Explainability for Black-box Text Classifiers
by: Bhattacharjee, Amrita, et al.
Published: (2023)

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

Exploiting Class Probabilities for Black-box Sentence-level Attacks
by: Moraffah, Raha, et al.
Published: (2024)

Surrogate modeling for interpreting black-box LLMs in medical predictions
by: Han, Changho, et al.
Published: (2026)

Recycling Failures: Salvaging Exploration in RLVR via Fine-Grained Off-Policy Guidance
by: Ren, Yanwei, et al.
Published: (2026)

SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation
by: Ren, Yanwei, et al.
Published: (2025)

Aligning Black-box Language Models with Human Judgments
by: Burg, Gerrit J. J. van den, et al.
Published: (2025)

Re-Initialization Token Learning for Tool-Augmented Large Language Models
by: Li, Chenghao, et al.
Published: (2025)

Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
by: He, Yutong, et al.
Published: (2024)

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

ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling
by: Zhang, Lingxi, et al.
Published: (2024)

From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
by: Wu, Xuansheng, et al.
Published: (2023)

Automated Detection of Pre-training Text in Black-box LLMs
by: Hu, Ruihan, et al.
Published: (2025)

RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
by: Liu, Wanlong, et al.
Published: (2024)

Nautilus Compass: Black-box Persona Drift Detection for Production LLM Agents
by: Wang, Chunxiao
Published: (2026)

Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
by: Wang, Yubo, et al.
Published: (2023)

Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
by: Yoshikawa, Yuya, et al.
Published: (2024)

Is In-Context Learning Sufficient for Instruction Following in LLMs?
by: Zhao, Hao, et al.
Published: (2024)

Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing
by: Zhang, Yi-Kai, et al.
Published: (2025)

Task-free Adaptive Meta Black-box Optimization
by: Wang, Chao, et al.
Published: (2026)

Mixture-of-Experts as Soft Clustering: A Dual Jacobian-PCA Spectral Geometry Perspective
by: Liu, Feilong
Published: (2026)

Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
by: Ren, Yi, et al.
Published: (2024)

DB-LLM: Accurate Dual-Binarization for Efficient LLMs
by: Chen, Hong, et al.
Published: (2024)

A Decomposition Perspective to Long-context Reasoning for LLMs
by: Xiao, Yanling, et al.
Published: (2026)

Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
by: Li, Changhao, et al.
Published: (2024)

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
by: Liu, Liangxin, et al.
Published: (2024)

Picky LLMs and Unreliable RMs: An Empirical Study on Safety Alignment after Instruction Tuning
by: Li, Guanlin, et al.
Published: (2025)

How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective
by: Qiu, Xinchi, et al.
Published: (2024)

PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching
by: Chen, Ruishuo, et al.
Published: (2026)

Towards Data-efficient Customer Intent Recognition with Prompt-based Learning Paradigm
by: Luo, Hengyu, et al.
Published: (2023)

Active Policy Improvement from Multiple Black-box Oracles
by: Liu, Xuefeng, et al.
Published: (2023)

From Black-box to Causal-box: Towards Building More Interpretable Models
by: Hwang, Inwoo, et al.
Published: (2025)

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions
by: Suvarna, Ashima, et al.
Published: (2026)

ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
by: Kharrat, Salma, et al.
Published: (2024)

Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning
by: Ding, Fei, et al.
Published: (2026)

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning
by: Qian, Cheng, et al.
Published: (2025)

Predicting the Performance of Black-box LLMs through Follow-up Queries
by: Sam, Dylan, et al.
Published: (2025)

Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning
by: Liu, Rui, et al.
Published: (2025)