PromptPrism: A Linguistically-Inspired Taxonomy for Prompts
Fuente:
arXiv
Saved in:
| Main Authors: | Jeoung, Sullam, Chen, Yueyan, Zhang, Yi, Wang, Shuai, Ding, Haibo, Cheong, Lin Lee |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Systematic Survey of Automatic Prompt Optimization Techniques
by: Ramnath, Kiran, et al.
Published: (2025)
by: Ramnath, Kiran, et al.
Published: (2025)
BoundRL: Efficient Structured Text Segmentation through Reinforced Boundary Generation
by: Li, Haoyuan, et al.
Published: (2025)
by: Li, Haoyuan, et al.
Published: (2025)
Examining Alignment of Large Language Models through Representative Heuristics: The Case of Political Stereotypes
by: Jeoung, Sullam, et al.
Published: (2025)
by: Jeoung, Sullam, et al.
Published: (2025)
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2025)
by: Woo, Sangmin, et al.
Published: (2025)
SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL
by: Hua, Harper, et al.
Published: (2026)
by: Hua, Harper, et al.
Published: (2026)
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
by: Jin, Haibo, et al.
Published: (2023)
by: Jin, Haibo, et al.
Published: (2023)
Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions
by: You, Zhiwen, et al.
Published: (2024)
by: You, Zhiwen, et al.
Published: (2024)
A Taxonomy of Prompt Defects in LLM Systems
by: Tian, Haoye, et al.
Published: (2025)
by: Tian, Haoye, et al.
Published: (2025)
Diffusion Language Model Inference with Monte Carlo Tree Search
by: Huang, Zheng, et al.
Published: (2025)
by: Huang, Zheng, et al.
Published: (2025)
Prism-$Δ$: Differential Subspace Steering for Prompt Highlighting in Large Language Models
by: Ge, Yuyao, et al.
Published: (2026)
by: Ge, Yuyao, et al.
Published: (2026)
Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection
by: Wang, Chi, et al.
Published: (2025)
by: Wang, Chi, et al.
Published: (2025)
To Write or to Automate Linguistic Prompts, That Is the Question
by: Sánchez-Torrón, Marina, et al.
Published: (2026)
by: Sánchez-Torrón, Marina, et al.
Published: (2026)
BloomWise: Enhancing Problem-Solving capabilities of Large Language Models using Bloom's-Taxonomy-Inspired Prompts
by: Zoumpoulidi, Maria-Eleni, et al.
Published: (2024)
by: Zoumpoulidi, Maria-Eleni, et al.
Published: (2024)
Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge
by: Wang, Haibo, et al.
Published: (2024)
by: Wang, Haibo, et al.
Published: (2024)
The Landscape of Prompt Injection Threats in LLM Agents: From Taxonomy to Analysis
by: Wang, Peiran, et al.
Published: (2026)
by: Wang, Peiran, et al.
Published: (2026)
The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure
by: Cook, David A.
Published: (2026)
by: Cook, David A.
Published: (2026)
Error Taxonomy-Guided Prompt Optimization
by: Singh, Mayank, et al.
Published: (2026)
by: Singh, Mayank, et al.
Published: (2026)
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
by: Zhao, Wanru, et al.
Published: (2025)
by: Zhao, Wanru, et al.
Published: (2025)
AI Coding with Few-Shot Prompting for Thematic Analysis
by: Flanders, Samuel, et al.
Published: (2025)
by: Flanders, Samuel, et al.
Published: (2025)
Scaling Personality Control in LLMs with Big Five Scaler Prompts
by: Cho, Gunhee, et al.
Published: (2025)
by: Cho, Gunhee, et al.
Published: (2025)
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
by: Qiao, Yuxuan, et al.
Published: (2024)
by: Qiao, Yuxuan, et al.
Published: (2024)
CSPLADE: Learned Sparse Retrieval with Causal Language Models
by: Xu, Zhichao, et al.
Published: (2025)
by: Xu, Zhichao, et al.
Published: (2025)
The Illusionist's Prompt: Exposing the Factual Vulnerabilities of Large Language Models with Linguistic Nuances
by: Wang, Yining, et al.
Published: (2025)
by: Wang, Yining, et al.
Published: (2025)
A Taxonomy for Design and Evaluation of Prompt-Based Natural Language Explanations
by: Nejadgholi, Isar, et al.
Published: (2025)
by: Nejadgholi, Isar, et al.
Published: (2025)
Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs
by: Zhang, Xiang, et al.
Published: (2025)
by: Zhang, Xiang, et al.
Published: (2025)
CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving
by: Chen, Pei, et al.
Published: (2024)
by: Chen, Pei, et al.
Published: (2024)
Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models
by: Liang, Zi, et al.
Published: (2024)
by: Liang, Zi, et al.
Published: (2024)
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples
by: Zeng, Qingkai, et al.
Published: (2024)
by: Zeng, Qingkai, et al.
Published: (2024)
A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies
by: DeVrio, Alicia, et al.
Published: (2025)
by: DeVrio, Alicia, et al.
Published: (2025)
MoPD: Mixture-of-Prompts Distillation for Vision-Language Models
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
by: Nie, Ercong, et al.
Published: (2024)
by: Nie, Ercong, et al.
Published: (2024)
Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models
by: Tan, Wenting, et al.
Published: (2024)
by: Tan, Wenting, et al.
Published: (2024)
P3: Prompts Promote Prompting
by: Zhang, Xinyu, et al.
Published: (2025)
by: Zhang, Xinyu, et al.
Published: (2025)
Serve Programs, Not Prompts
by: Gim, In, et al.
Published: (2025)
by: Gim, In, et al.
Published: (2025)
RulePrompt: Weakly Supervised Text Classification with Prompting PLMs and Self-Iterative Logical Rules
by: Li, Miaomiao, et al.
Published: (2024)
by: Li, Miaomiao, et al.
Published: (2024)
Break Me If You Can: Self-Jailbreaking of Aligned LLMs via Lexical Insertion Prompting
by: Kulshreshtha, Devang, et al.
Published: (2026)
by: Kulshreshtha, Devang, et al.
Published: (2026)
PromptExp: Multi-granularity Prompt Explanation of Large Language Models
by: Dong, Ximing, et al.
Published: (2024)
by: Dong, Ximing, et al.
Published: (2024)
Learning to Ideate for Machine Learning Engineering Agents
by: Zhang, Yunxiang, et al.
Published: (2026)
by: Zhang, Yunxiang, et al.
Published: (2026)
Efficient Prompt Optimisation for Legal Text Classification with Proxy Prompt Evaluator
by: Lee, Hyunji, et al.
Published: (2025)
by: Lee, Hyunji, et al.
Published: (2025)
PromptCL: Improving Event Representation via Prompt Template and Contrastive Learning
by: Feng, Yubo, et al.
Published: (2024)
by: Feng, Yubo, et al.
Published: (2024)
Similar Items
-
A Systematic Survey of Automatic Prompt Optimization Techniques
by: Ramnath, Kiran, et al.
Published: (2025) -
BoundRL: Efficient Structured Text Segmentation through Reinforced Boundary Generation
by: Li, Haoyuan, et al.
Published: (2025) -
Examining Alignment of Large Language Models through Representative Heuristics: The Case of Political Stereotypes
by: Jeoung, Sullam, et al.
Published: (2025) -
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2025) -
SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL
by: Hua, Harper, et al.
Published: (2026)