A Survey of Automatic Prompt Optimization with Instruction-focused Heuristic-based Search Algorithm

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cui, Wendi, Li, Zhuohang, Sun, Hao, Lopez, Damien, Das, Kamalika, Malin, Bradley A., Kumar, Sricharan, Zhang, Jiaxin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization
di: Cui, Wendi, et al.
Pubblicazione: (2024)

DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models
di: Cui, Wendi, et al.
Pubblicazione: (2024)

SCE: Scalable Consistency Ensembles Make Blackbox Large Language Model Generation More Reliable
di: Zhang, Jiaxin, et al.
Pubblicazione: (2025)

SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
di: Zhang, Jiaxin, et al.
Pubblicazione: (2023)

Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
di: Li, Zhuohang, et al.
Pubblicazione: (2024)

Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
di: Zhang, Jiaxin, et al.
Pubblicazione: (2024)

Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution
di: Sinha, Ankita, et al.
Pubblicazione: (2024)

Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
di: Zhang, Jiaxin, et al.
Pubblicazione: (2024)

Towards Statistical Factuality Guarantee for Large Vision-Language Models
di: Li, Zhuohang, et al.
Pubblicazione: (2025)

Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation
di: Wang, Yu, et al.
Pubblicazione: (2025)

Learning to Search Effective Example Sequences for In-Context Learning
di: Gao, Xiang, et al.
Pubblicazione: (2025)

Experience-Guided Reflective Co-Evolution of Prompts and Heuristics for Automatic Algorithm Design
di: Liu, Yihong, et al.
Pubblicazione: (2025)

HPSS: Heuristic Prompting Strategy Search for LLM Evaluators
di: Wen, Bosi, et al.
Pubblicazione: (2025)

From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models
di: Zhang, Jiaxin, et al.
Pubblicazione: (2026)

SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models
di: Gao, Xiang, et al.
Pubblicazione: (2024)

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
di: Wan, Xingchen, et al.
Pubblicazione: (2024)

A Systematic Survey of Automatic Prompt Optimization Techniques
di: Ramnath, Kiran, et al.
Pubblicazione: (2025)

Customizing Language Model Responses with Contrastive In-Context Learning
di: Gao, Xiang, et al.
Pubblicazione: (2024)

A Survey of Cellular Automata: Types, Dynamics, Non-uniformity and Applications
di: Bhattacharjee, Kamalika, et al.
Pubblicazione: (2016)

AMPO: Automatic Multi-Branched Prompt Optimization
di: Yang, Sheng, et al.
Pubblicazione: (2024)

Combining Neural Architecture Search and Automatic Code Optimization: A Survey
di: Bachiri, Inas, et al.
Pubblicazione: (2024)

A Search for Good Pseudo-random Number Generators : Survey and Empirical Studies
di: Bhattacharjee, Kamalika, et al.
Pubblicazione: (2018)

Automatic Prompt Optimization with Prompt Distillation
di: Dyagin, Ernest A., et al.
Pubblicazione: (2025)

Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt Optimization
di: Loiseau, Gabriel, et al.
Pubblicazione: (2026)

Textual Gradients are a Flawed Metaphor for Automatic Prompt Optimization
di: Melcer, Daniel, et al.
Pubblicazione: (2025)

Gödel Number based Clustering Algorithm with Decimal First Degree Cellular Automata
di: Vikrant, Vicky, et al.
Pubblicazione: (2024)

Enhancing Document-level Argument Extraction with Definition-augmented Heuristic-driven Prompting for LLMs
di: Sun, Tongyue, et al.
Pubblicazione: (2024)

Automatic Prompt Optimization for Dataset-Level Feature Discovery
di: Cosma, Adrian, et al.
Pubblicazione: (2026)

Generalizable Self-Evolving Memory for Automatic Prompt Optimization
di: Liang, Guanbao, et al.
Pubblicazione: (2026)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
di: Wang, Yidong, et al.
Pubblicazione: (2023)

The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs
di: Baidya, Avinash, et al.
Pubblicazione: (2025)

Learning to Edit Knowledge via Instruction-based Chain-of-Thought Prompting
di: Fu, Jinhu, et al.
Pubblicazione: (2026)

Submodular Evaluation Subset Selection in Automatic Prompt Optimization
di: Nian, Jinming, et al.
Pubblicazione: (2026)

Dual-Track CoT: Budget-Aware Stepwise Guidance for Small LMs
di: Chatterjee, Sagnik, et al.
Pubblicazione: (2026)

Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search
di: Li, Chenglin, et al.
Pubblicazione: (2024)

Cellular Automata based Resource Efficient Maximally Equidistributed Pseudo-Random Number Generators
di: A, Bhuvaneswari, et al.
Pubblicazione: (2026)

Prompt Optimization as a State-Space Search Problem
di: Taneja, Maanas
Pubblicazione: (2025)

Token-weighted Direct Preference Optimization with Attention
di: Huang, Chengyu, et al.
Pubblicazione: (2026)

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
di: Murthy, Rithesh, et al.
Pubblicazione: (2025)

FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema
di: Lu, Junru, et al.
Pubblicazione: (2024)