Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Schnabel, Tobias, Neville, Jennifer |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness
by: Liu, Jiayi, et al.
Published: (2024)
by: Liu, Jiayi, et al.
Published: (2024)
PromptWizard: Task-Aware Prompt Optimization Framework
by: Agarwal, Eshaan, et al.
Published: (2024)
by: Agarwal, Eshaan, et al.
Published: (2024)
On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
by: Herlihy, Christine, et al.
Published: (2024)
by: Herlihy, Christine, et al.
Published: (2024)
Task Facet Learning: A Structured Approach to Prompt Optimization
by: Juneja, Gurusha, et al.
Published: (2024)
by: Juneja, Gurusha, et al.
Published: (2024)
Automatic Prompt Optimization with Prompt Distillation
by: Dyagin, Ernest A., et al.
Published: (2025)
by: Dyagin, Ernest A., et al.
Published: (2025)
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
by: Dong, Honghua, et al.
Published: (2024)
by: Dong, Honghua, et al.
Published: (2024)
CAPO: Cost-Aware Prompt Optimization
by: Zehle, Tom, et al.
Published: (2025)
by: Zehle, Tom, et al.
Published: (2025)
DynaPrompt: Dynamic Test-Time Prompt Tuning
by: Xiao, Zehao, et al.
Published: (2025)
by: Xiao, Zehao, et al.
Published: (2025)
Prompt-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression
by: Ali, Muhammad Asif, et al.
Published: (2024)
by: Ali, Muhammad Asif, et al.
Published: (2024)
Local Prompt Optimization
by: Jain, Yash, et al.
Published: (2025)
by: Jain, Yash, et al.
Published: (2025)
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
by: Lan, Pengxiang, et al.
Published: (2024)
by: Lan, Pengxiang, et al.
Published: (2024)
Efficient Prompt Optimization Through the Lens of Best Arm Identification
by: Shi, Chengshuai, et al.
Published: (2024)
by: Shi, Chengshuai, et al.
Published: (2024)
Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation
by: Ajwani, Rohan Deepak, et al.
Published: (2024)
by: Ajwani, Rohan Deepak, et al.
Published: (2024)
Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
by: Dong, Harry, et al.
Published: (2024)
by: Dong, Harry, et al.
Published: (2024)
Lost in Transmission: When and Why LLMs Fail to Reason Globally
by: Schnabel, Tobias, et al.
Published: (2025)
by: Schnabel, Tobias, et al.
Published: (2025)
Reasoning about Reasoning: BAPO Bounds on Chain-of-Thought Token Complexity in LLMs
by: Tomlinson, Kiran, et al.
Published: (2026)
by: Tomlinson, Kiran, et al.
Published: (2026)
Self-Supervised Prompt Optimization
by: Xiang, Jinyu, et al.
Published: (2025)
by: Xiang, Jinyu, et al.
Published: (2025)
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
by: Wu, Zhaoxuan, et al.
Published: (2024)
by: Wu, Zhaoxuan, et al.
Published: (2024)
PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models
by: Yu, Ye, et al.
Published: (2025)
by: Yu, Ye, et al.
Published: (2025)
Error Taxonomy-Guided Prompt Optimization
by: Singh, Mayank, et al.
Published: (2026)
by: Singh, Mayank, et al.
Published: (2026)
System Prompt Optimization with Meta-Learning
by: Choi, Yumin, et al.
Published: (2025)
by: Choi, Yumin, et al.
Published: (2025)
Continuous QA Learning with Structured Prompts
by: Zheng, Yinhe
Published: (2022)
by: Zheng, Yinhe
Published: (2022)
Prompt Engineering a Prompt Engineer
by: Ye, Qinyuan, et al.
Published: (2023)
by: Ye, Qinyuan, et al.
Published: (2023)
Prompt Optimization Via Diffusion Language Models
by: Wang, Shiyu, et al.
Published: (2026)
by: Wang, Shiyu, et al.
Published: (2026)
Structured Prompts Improve Evaluation of Language Models
by: Aali, Asad, et al.
Published: (2025)
by: Aali, Asad, et al.
Published: (2025)
Language Model Prompt Selection via Simulation Optimization
by: Zhang, Haoting, et al.
Published: (2024)
by: Zhang, Haoting, et al.
Published: (2024)
Effective Structured Prompting by Meta-Learning and Representative Verbalizer
by: Jiang, Weisen, et al.
Published: (2023)
by: Jiang, Weisen, et al.
Published: (2023)
SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs
by: Jayasuriya, Dinithi, et al.
Published: (2025)
by: Jayasuriya, Dinithi, et al.
Published: (2025)
You Don't Need Prompt Engineering Anymore: The Prompting Inversion
by: Khan, Imran
Published: (2025)
by: Khan, Imran
Published: (2025)
Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
by: Choi, Yumin, et al.
Published: (2025)
by: Choi, Yumin, et al.
Published: (2025)
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
by: Sun, Hao, et al.
Published: (2023)
by: Sun, Hao, et al.
Published: (2023)
Leveraging Zero-Shot Prompting for Efficient Language Model Distillation
by: Vöge, Lukas, et al.
Published: (2024)
by: Vöge, Lukas, et al.
Published: (2024)
ProRefine: Inference-Time Prompt Refinement with Textual Feedback
by: Pandita, Deepak, et al.
Published: (2025)
by: Pandita, Deepak, et al.
Published: (2025)
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
by: Xu, Lei, et al.
Published: (2024)
by: Xu, Lei, et al.
Published: (2024)
Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference
by: Adamska, Marta, et al.
Published: (2025)
by: Adamska, Marta, et al.
Published: (2025)
Prompting Test-Time Scaling Is A Strong LLM Reasoning Data Augmentation
by: Bsharat, Sondos Mahmoud, et al.
Published: (2025)
by: Bsharat, Sondos Mahmoud, et al.
Published: (2025)
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
by: Wan, Xingchen, et al.
Published: (2024)
by: Wan, Xingchen, et al.
Published: (2024)
PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models
by: Zhao, Chenzhuo, et al.
Published: (2025)
by: Zhao, Chenzhuo, et al.
Published: (2025)
Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt Engineering
by: Mohamed, Anas, et al.
Published: (2025)
by: Mohamed, Anas, et al.
Published: (2025)
SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback
by: Yu, Yaoning, et al.
Published: (2025)
by: Yu, Yaoning, et al.
Published: (2025)
Similar Items
-
CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness
by: Liu, Jiayi, et al.
Published: (2024) -
PromptWizard: Task-Aware Prompt Optimization Framework
by: Agarwal, Eshaan, et al.
Published: (2024) -
On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
by: Herlihy, Christine, et al.
Published: (2024) -
Task Facet Learning: A Structured Approach to Prompt Optimization
by: Juneja, Gurusha, et al.
Published: (2024) -
Automatic Prompt Optimization with Prompt Distillation
by: Dyagin, Ernest A., et al.
Published: (2025)