:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhao, Yang, Wang, Pu, Yang, Hao Frank
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.21148
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
by: Du, Zhekai, et al.
Published: (2024)

DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning
by: Zhang, Xiaohan, et al.
Published: (2024)

PromptDLA: A Domain-aware Prompt Document Layout Analysis Framework with Descriptive Knowledge as a Cue
by: Zhang, Zirui, et al.
Published: (2026)

SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts
by: Pei, Aihua, et al.
Published: (2024)

Prompt Recursive Search: A Living Framework with Adaptive Growth in LLM Auto-Prompting
by: Zhao, Xiangyu, et al.
Published: (2024)

No Universal Prompt: Unifying Reasoning through Adaptive Prompting for Temporal Table Reasoning
by: Rajgaria, Abhishek, et al.
Published: (2025)

StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation
by: Zheng, Huawei, et al.
Published: (2026)

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
by: Huang, Yu-Hao, et al.
Published: (2025)

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting
by: Cai, Shuzhang, et al.
Published: (2024)

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt
by: Zhao, Zijian, et al.
Published: (2025)

Effects of Prompt Length on Domain-specific Tasks for Large Language Models
by: Liu, Qibang, et al.
Published: (2025)

Homophily Enhanced Graph Domain Adaptation
by: Fang, Ruiyi, et al.
Published: (2025)

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers
by: Guo, Qingyan, et al.
Published: (2023)

Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models
by: Furqon, M. T., et al.
Published: (2025)

Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation
by: Azad, Parham Abed, et al.
Published: (2024)

On the Benefits of Attribute-Driven Graph Domain Adaptation
by: Fang, Ruiyi, et al.
Published: (2025)

Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework
by: Liu, Jiang, et al.
Published: (2024)

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP
by: Wang, Zhiyuan, et al.
Published: (2025)

Self-Prompting Large Language Models for Zero-Shot Open-Domain QA
by: Li, Junlong, et al.
Published: (2022)

Residual SODAP: Residual Self-Organizing Domain-Adaptive Prompting with Structural Knowledge Preservation for Continual Learning
by: Oh, Gyutae, et al.
Published: (2026)

Knowledge Restoration-driven Prompt Optimization: Unlocking LLM Potential for Open-Domain Relational Triplet Extraction
by: Jing, Xiaonan, et al.
Published: (2026)

Latent Domain Prompt Learning for Vision-Language Models
by: Li, Zhixing, et al.
Published: (2025)

Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure
by: Fang, Ruiyi, et al.
Published: (2026)

Optimizing Reasoning Efficiency through Prompt Difficulty Prediction
by: Zhao, Bo, et al.
Published: (2025)

Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research
by: Cao, Qinglong, et al.
Published: (2024)

OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning
by: Zhang, Yuxiang, et al.
Published: (2024)

RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts
by: Yang, Jing, et al.
Published: (2024)

Domain-Contextualized Inference: A Computable Graph Architecture for Explicit-Domain Reasoning
by: Li, Chao, et al.
Published: (2026)

CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
by: Feng, Yu, et al.
Published: (2024)

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
by: Zhang, Jingyuan, et al.
Published: (2024)

AutoSG: LLM-Driven Solver Generation Solely from Task Prompts for Expensive Optimization
by: Gu, Haoran, et al.
Published: (2026)

From Atoms to Chains: Divergence-Guided Reasoning Curriculum for Unlabeled LLM Domain Adaptation
by: Wang, Yongqi, et al.
Published: (2026)

Auto-Prompt Ensemble for LLM Judge
by: Li, Jiajie, et al.
Published: (2025)

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications
by: Tang, Xinye, et al.
Published: (2025)

Evolving, Not Training: Zero-Shot Reasoning Segmentation via Evolutionary Prompting
by: Ye, Kai, et al.
Published: (2025)

Federated Domain Generalization via Prompt Learning and Aggregation
by: Gong, Shuai, et al.
Published: (2024)

One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing
by: Yang, Xu, et al.
Published: (2025)

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
by: Wang, Yilong, et al.
Published: (2025)

CAP: Controllable Alignment Prompting for Unlearning in LLMs
by: Wang, Zhaokun, et al.
Published: (2026)

Domain-Invariant Prompt Learning for Vision-Language Models
by: Khoee, Arsham Gholamzadeh, et al.
Published: (2026)