Cover Image

Natural Language Declarative Prompting (NLD-P): A Modular Governance Method for Prompt Design Under Model Drift

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Hyunwoo, Yi, Hanau, Bae, Jaehee, Kim, Yumin
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
by: Kim, Hyunwoo, et al.
Published: (2026)

Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language
by: Faghihi, Hossein Rajaby, et al.
Published: (2024)

Machine-Facing English: Defining a Hybrid Register Shaped by Human-AI Discourse
by: Kim, Hyunwoo, et al.
Published: (2025)

CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting
by: Li, Huihan, et al.
Published: (2024)

Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models
by: Kim, Donghoon, et al.
Published: (2025)

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
by: Choi, Yumin, et al.
Published: (2025)

DETAIL Matters: Measuring the Impact of Prompt Specificity on Reasoning in Large Language Models
by: Kim, Olivia
Published: (2025)

$\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on Prompt-based Language Models
by: Xu, Yue, et al.
Published: (2024)

PDL: A Declarative Prompt Programming Language
by: Vaziri, Mandana, et al.
Published: (2024)

Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models
by: Kim, Jongho, et al.
Published: (2025)

A Taxonomy for Design and Evaluation of Prompt-Based Natural Language Explanations
by: Nejadgholi, Isar, et al.
Published: (2025)

PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
by: Kim, Gyeongman, et al.
Published: (2024)

A Dual-Prompting for Interpretable Mental Health Language Models
by: Jeon, Hyolim, et al.
Published: (2024)

System Prompt Optimization with Meta-Learning
by: Choi, Yumin, et al.
Published: (2025)

EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria
by: Kim, Tae Soo, et al.
Published: (2023)

Prompt Decorators: A Declarative and Composable Syntax for Reasoning, Formatting, and Control in LLMs
by: Heris, Mostapha Kalami
Published: (2025)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)

The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future
by: Saleem, Summra, et al.
Published: (2025)

Discrete Prompt Compression with Reinforcement Learning
by: Jung, Hoyoun, et al.
Published: (2023)

Bayesian Principles Improve Prompt Learning In Vision-Language Models
by: Kim, Mingyu, et al.
Published: (2025)

Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
by: Wu, Yulong, et al.
Published: (2025)

Selective Demonstration Retrieval for Improved Implicit Hate Speech Detection
by: Kim, Yumin, et al.
Published: (2025)

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
by: Choi, Yunseon, et al.
Published: (2024)

Can Separators Improve Chain-of-Thought Prompting?
by: Park, Yoonjeong, et al.
Published: (2024)

Generative Prompt Internalization
by: Shin, Haebin, et al.
Published: (2024)

Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks
by: Mu, Lin, et al.
Published: (2025)

Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites
by: Santos, Gabriel Machado, et al.
Published: (2025)

Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt Tuning through Modular Prompt Composition
by: Pouramini, Ahmad, et al.
Published: (2024)

Detection Method for Prompt Injection by Integrating Pre-trained Model and Heuristic Feature Engineering
by: Ji, Yi, et al.
Published: (2025)

Learning to Compress Prompt in Natural Language Formats
by: Chuang, Yu-Neng, et al.
Published: (2024)

Prompt Cache: Modular Attention Reuse for Low-Latency Inference
by: Gim, In, et al.
Published: (2023)

DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models
by: Bae, Suyoung, et al.
Published: (2025)

GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer
by: Cho, Junmo, et al.
Published: (2026)

Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detection
by: Park, YeongHyeon, et al.
Published: (2024)

A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2024)

Exploring Prompt-Based Methods for Zero-Shot Hypernym Prediction with Large Language Models
by: Tikhomirov, Mikhail, et al.
Published: (2024)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)

The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure
by: Cook, David A.
Published: (2026)

Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)

Large Language Models Prompting With Episodic Memory
by: Do, Dai, et al.
Published: (2024)