PromptWizard: Task-Aware Prompt Optimization Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Agarwal, Eshaan, Singh, Joykirat, Dani, Vivek, Magazine, Raghav, Ganu, Tanuja, Nambi, Akshay |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Evolved Preference Optimization for Enhancing Mathematical Reasoning in Small Language Models
by: Singh, Joykirat, et al.
Published: (2025)
by: Singh, Joykirat, et al.
Published: (2025)
MMCTAgent: Multi-modal Critical Thinking Agent Framework for Complex Visual Reasoning
by: Kumar, Somnath, et al.
Published: (2024)
by: Kumar, Somnath, et al.
Published: (2024)
Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
by: Singh, Joykirat, et al.
Published: (2024)
by: Singh, Joykirat, et al.
Published: (2024)
Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning
by: Singh, Joykirat, et al.
Published: (2025)
by: Singh, Joykirat, et al.
Published: (2025)
Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
by: Kumar, Somnath, et al.
Published: (2024)
by: Kumar, Somnath, et al.
Published: (2024)
Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression
by: Singh, Joykirat, et al.
Published: (2025)
by: Singh, Joykirat, et al.
Published: (2025)
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models
by: Wang, Hengyi, et al.
Published: (2024)
by: Wang, Hengyi, et al.
Published: (2024)
Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces
by: Gupta, Karan, et al.
Published: (2026)
by: Gupta, Karan, et al.
Published: (2026)
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
by: Chavan, Arnav, et al.
Published: (2024)
by: Chavan, Arnav, et al.
Published: (2024)
Error Taxonomy-Guided Prompt Optimization
by: Singh, Mayank, et al.
Published: (2026)
by: Singh, Mayank, et al.
Published: (2026)
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
by: Kumar, Somnath, et al.
Published: (2023)
by: Kumar, Somnath, et al.
Published: (2023)
Automatic Prompt Optimization with Prompt Distillation
by: Dyagin, Ernest A., et al.
Published: (2025)
by: Dyagin, Ernest A., et al.
Published: (2025)
Task Facet Learning: A Structured Approach to Prompt Optimization
by: Juneja, Gurusha, et al.
Published: (2024)
by: Juneja, Gurusha, et al.
Published: (2024)
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
by: Schnabel, Tobias, et al.
Published: (2024)
by: Schnabel, Tobias, et al.
Published: (2024)
CAPO: Cost-Aware Prompt Optimization
by: Zehle, Tom, et al.
Published: (2025)
by: Zehle, Tom, 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)
Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2025)
by: Vatsal, Shubham, et al.
Published: (2025)
Automated Meta Prompt Engineering for Alignment with the Theory of Mind
by: Baughman, Aaron, et al.
Published: (2025)
by: Baughman, Aaron, et al.
Published: (2025)
Self-Supervised Prompt Optimization
by: Xiang, Jinyu, et al.
Published: (2025)
by: Xiang, Jinyu, et al.
Published: (2025)
System Prompt Optimization with Meta-Learning
by: Choi, Yumin, et al.
Published: (2025)
by: Choi, Yumin, et al.
Published: (2025)
Agent-BRACE: Decoupling Beliefs from Actions in Long-Horizon Tasks via Verbalized State Uncertainty
by: Singh, Joykirat, et al.
Published: (2026)
by: Singh, Joykirat, et al.
Published: (2026)
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)
Scalable Prompt Routing via Fine-Grained Latent Task Discovery
by: Zhang, Yunyi, et al.
Published: (2026)
by: Zhang, Yunyi, et al.
Published: (2026)
Language Model Prompt Selection via Simulation Optimization
by: Zhang, Haoting, et al.
Published: (2024)
by: Zhang, Haoting, et al.
Published: (2024)
DynaPrompt: Dynamic Test-Time Prompt Tuning
by: Xiao, Zehao, et al.
Published: (2025)
by: Xiao, Zehao, et al.
Published: (2025)
Structured Prompts Improve Evaluation of Language Models
by: Aali, Asad, et al.
Published: (2025)
by: Aali, Asad, et al.
Published: (2025)
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
by: Chung, Tsz Ting, et al.
Published: (2024)
by: Chung, Tsz Ting, et al.
Published: (2024)
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)
SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks
by: Chang, Kai-Wei, et al.
Published: (2024)
by: Chang, Kai-Wei, et al.
Published: (2024)
You Don't Need Prompt Engineering Anymore: The Prompting Inversion
by: Khan, Imran
Published: (2025)
by: Khan, Imran
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)
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)
Beyond the Hype: Embeddings vs. Prompting for Multiclass Classification Tasks
by: Kokkodis, Marios, et al.
Published: (2025)
by: Kokkodis, Marios, 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)
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)
Similar Items
-
Self-Evolved Preference Optimization for Enhancing Mathematical Reasoning in Small Language Models
by: Singh, Joykirat, et al.
Published: (2025) -
MMCTAgent: Multi-modal Critical Thinking Agent Framework for Complex Visual Reasoning
by: Kumar, Somnath, et al.
Published: (2024) -
Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
by: Singh, Joykirat, et al.
Published: (2024) -
Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning
by: Singh, Joykirat, et al.
Published: (2025) -
Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
by: Kumar, Somnath, et al.
Published: (2024)