:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cardoso, João N., Oliveira, Arlindo L., Martins, Bruno
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computation and Language
Online Access:	https://arxiv.org/abs/2602.17867
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization
by: Wu, Yuanchen, et al.
Published: (2025)

DE-COP: Detecting Copyrighted Content in Language Models Training Data
by: Duarte, André V., et al.
Published: (2024)

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

InfoQuest: Evaluating Multi-Turn Dialogue Agents for Open-Ended Conversations with Hidden Context
by: de Oliveira, Bryan L. M., et al.
Published: (2025)

ADOPT: Adaptive Dependency-Guided Joint Prompt Optimization for Multi-Step LLM Pipelines
by: Zhao, Minjun, et al.
Published: (2025)

The Role of Recurrency in Image Segmentation for Noisy and Limited Sample Settings
by: Calhas, David, et al.
Published: (2024)

$p1$: Better Prompt Optimization with Fewer Prompts
by: Gao, Zhaolin, et al.
Published: (2026)

Extracting Prompts by Inverting LLM Outputs
by: Zhang, Collin, et al.
Published: (2024)

LLM In-Context Recall is Prompt Dependent
by: Machlab, Daniel, et al.
Published: (2024)

Are ECGs enough? Deep learning classification of pulmonary embolism using electrocardiograms
by: Marques, Joao D. S., et al.
Published: (2025)

Enhancing Speech Emotion Recognition with Graph-Based Multimodal Fusion and Prosodic Features for the Speech Emotion Recognition in Naturalistic Conditions Challenge at Interspeech 2025
by: Ferreira, Alef Iury Siqueira, et al.
Published: (2025)

Auto-Prompt Generation is Not Robust: Prompt Optimization Driven by Pseudo Gradient
by: Shi, Zeru, et al.
Published: (2024)

Dialectical Behavior Therapy Approach to LLM Prompting
by: Vitman, Oxana, et al.
Published: (2024)

Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers
by: Zhao, Andrew, et al.
Published: (2025)

CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness
by: Liu, Jiayi, et al.
Published: (2024)

Compositional Literary Primitives in Instruction-Tuned LLMs: Cross-Architectural SAE Features for Self, Style, and Affect
by: Presa, Joao Paulo Cavalcante, et al.
Published: (2026)

Learning to Translate from Soft to Hard LLM Prompts
by: Kongsomjit, Pitipat, et al.
Published: (2026)

Prompt Curriculum Learning for Efficient LLM Post-Training
by: Gao, Zhaolin, et al.
Published: (2025)

Prompt Optimization via Adversarial In-Context Learning
by: Do, Xuan Long, et al.
Published: (2023)

Local Prompt Optimization
by: Jain, Yash, et al.
Published: (2025)

Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs
by: Liu, Haoyue, et al.
Published: (2026)

ProCut: LLM Prompt Compression via Attribution Estimation
by: Xu, Zhentao, et al.
Published: (2025)

Does Prompt Formatting Have Any Impact on LLM Performance?
by: He, Jia, et al.
Published: (2024)

Transcoders Find Interpretable LLM Feature Circuits
by: Dunefsky, Jacob, et al.
Published: (2024)

LLM as a Complementary Optimizer to Gradient Descent: A Case Study in Prompt Tuning
by: Guo, Zixian, et al.
Published: (2024)

ADAPT to Robustify Prompt Tuning Vision Transformers
by: Eskandar, Masih, et al.
Published: (2024)

Benchmarking Large Language Model Uncertainty for Prompt Optimization
by: Guo, Pei-Fu, et al.
Published: (2024)

PromptWizard: Task-Aware Prompt Optimization Framework
by: Agarwal, Eshaan, et al.
Published: (2024)

Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference
by: Adamska, Marta, et al.
Published: (2025)

CroissantLLM: A Truly Bilingual French-English Language Model
by: Faysse, Manuel, et al.
Published: (2024)

MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
by: Wang, Zhexuan, et al.
Published: (2026)

StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
by: Tang, Yiming, et al.
Published: (2025)

Self-Supervised Prompt Optimization
by: Xiang, Jinyu, et al.
Published: (2025)

In-context Demonstration Matters: On Prompt Optimization for Pseudo-Supervision Refinement
by: Zhang, Zhen-Yu, et al.
Published: (2024)

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

Prompt-to-Leaderboard
by: Frick, Evan, et al.
Published: (2025)

Aligning the Spectrum: Hybrid Graph Pre-training and Prompt Tuning across Homophily and Heterophily
by: Luo, Haitong, et al.
Published: (2025)

Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts
by: Yin, Yueqin, et al.
Published: (2024)

More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation
by: Zi, Yangtian, et al.
Published: (2025)

Visual Exploration of Feature Relationships in Sparse Autoencoders with Curated Concepts
by: Yan, Xinyuan, et al.
Published: (2025)