Auto-Prompt Generation is Not Robust: Prompt Optimization Driven by Pseudo Gradient
Fuente:
arXiv
Saved in:
| Main Authors: | Shi, Zeru, Wang, Zhenting, Su, Yongye, Luo, Weidi, Gao, Hang, Yang, Fan, Tang, Ruixiang, Zhang, Yongfeng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Single Layer to Explain Them All:Understanding Massive Activations in Large Language Models
by: Shi, Zeru, et al.
Published: (2026)
by: Shi, Zeru, et al.
Published: (2026)
Read the Scene, Not the Script: Outcome-Aware Safety for LLMs
by: Wu, Rui, et al.
Published: (2025)
by: Wu, Rui, et al.
Published: (2025)
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
by: Lin, Sam, et al.
Published: (2024)
by: Lin, Sam, et al.
Published: (2024)
ADO: Automatic Data Optimization for Inputs in LLM Prompts
by: Lin, Sam, et al.
Published: (2025)
by: Lin, Sam, et al.
Published: (2025)
In-context Demonstration Matters: On Prompt Optimization for Pseudo-Supervision Refinement
by: Zhang, Zhen-Yu, et al.
Published: (2024)
by: Zhang, Zhen-Yu, et al.
Published: (2024)
Meaningless Tokens, Meaningful Gains: How Activation Shifts Enhance LLM Reasoning
by: Shi, Zeru, et al.
Published: (2025)
by: Shi, Zeru, et al.
Published: (2025)
From Commands to Prompts: LLM-based Semantic File System for AIOS
by: Shi, Zeru, et al.
Published: (2024)
by: Shi, Zeru, et al.
Published: (2024)
AutoPDL: Automatic Prompt Optimization for LLM Agents
by: Spiess, Claudio, et al.
Published: (2025)
by: Spiess, Claudio, et al.
Published: (2025)
Robust Detection of LLM-Generated Text: A Comparative Analysis
by: Su, Yongye, et al.
Published: (2024)
by: Su, Yongye, et al.
Published: (2024)
$p1$: Better Prompt Optimization with Fewer Prompts
by: Gao, Zhaolin, et al.
Published: (2026)
by: Gao, Zhaolin, et al.
Published: (2026)
Can Gradient Descent Simulate Prompting?
by: Zhang, Eric, et al.
Published: (2025)
by: Zhang, Eric, et al.
Published: (2025)
Self-Supervised Prompt Optimization
by: Xiang, Jinyu, et al.
Published: (2025)
by: Xiang, Jinyu, et al.
Published: (2025)
Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning
by: Li, Chengzhengxu, et al.
Published: (2023)
by: Li, Chengzhengxu, et al.
Published: (2023)
Textual Gradients are a Flawed Metaphor for Automatic Prompt Optimization
by: Melcer, Daniel, et al.
Published: (2025)
by: Melcer, Daniel, et al.
Published: (2025)
LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization
by: Wu, Yuanchen, et al.
Published: (2025)
by: Wu, Yuanchen, et al.
Published: (2025)
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
by: Zhu, Kaijie, et al.
Published: (2023)
by: Zhu, Kaijie, et al.
Published: (2023)
AutoMedPrompt: A New Framework for Optimizing LLM Medical Prompts Using Textual Gradients
by: Wu, Sean, et al.
Published: (2025)
by: Wu, Sean, 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)
by: Liu, Haoyue, et al.
Published: (2026)
Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems
by: Chen, Ke, et al.
Published: (2025)
by: Chen, Ke, et al.
Published: (2025)
Automatic Prompt Optimization with Prompt Distillation
by: Dyagin, Ernest A., et al.
Published: (2025)
by: Dyagin, Ernest A., et al.
Published: (2025)
AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems
by: Zhang, Boxuan, et al.
Published: (2026)
by: Zhang, Boxuan, et al.
Published: (2026)
Disentangling Memory and Reasoning Ability in Large Language Models
by: Jin, Mingyu, et al.
Published: (2024)
by: Jin, Mingyu, et al.
Published: (2024)
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
by: Tang, Yiming, et al.
Published: (2025)
by: Tang, Yiming, et al.
Published: (2025)
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models
by: An, Bang, et al.
Published: (2024)
by: An, Bang, et al.
Published: (2024)
AutoSG: LLM-Driven Solver Generation Solely from Task Prompts for Expensive Optimization
by: Gu, Haoran, et al.
Published: (2026)
by: Gu, Haoran, et al.
Published: (2026)
Efficient Prompt Optimization Through the Lens of Best Arm Identification
by: Shi, Chengshuai, et al.
Published: (2024)
by: Shi, Chengshuai, et al.
Published: (2024)
MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusion
by: Jiang, Ruixiang, et al.
Published: (2024)
by: Jiang, Ruixiang, et al.
Published: (2024)
On Prompt-Driven Safeguarding for Large Language Models
by: Zheng, Chujie, et al.
Published: (2024)
by: Zheng, Chujie, et al.
Published: (2024)
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)
PromptWizard: Task-Aware Prompt Optimization Framework
by: Agarwal, Eshaan, et al.
Published: (2024)
by: Agarwal, Eshaan, et al.
Published: (2024)
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization
by: Cheng, Jiale, et al.
Published: (2025)
by: Cheng, Jiale, et al.
Published: (2025)
ADOPT: Adaptive Dependency-Guided Joint Prompt Optimization for Multi-Step LLM Pipelines
by: Zhao, Minjun, et al.
Published: (2025)
by: Zhao, Minjun, et al.
Published: (2025)
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs
by: Gao, Xin, et al.
Published: (2025)
by: Gao, Xin, et al.
Published: (2025)
Local Prompt Optimization
by: Jain, Yash, et al.
Published: (2025)
by: Jain, Yash, et al.
Published: (2025)
PromptAL: Sample-Aware Dynamic Soft Prompts for Few-Shot Active Learning
by: Xiang, Hui, et al.
Published: (2025)
by: Xiang, Hui, et al.
Published: (2025)
SIG: Speaker Identification in Literature via Prompt-Based Generation
by: Su, Zhenlin, et al.
Published: (2023)
by: Su, Zhenlin, et al.
Published: (2023)
Prompt Exploration with Prompt Regression
by: Feffer, Michael, et al.
Published: (2024)
by: Feffer, Michael, et al.
Published: (2024)
SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback
by: Yu, Yaoning, et al.
Published: (2025)
by: Yu, Yaoning, et al.
Published: (2025)
When Reward Hacking Rebounds: Understanding and Mitigating It with Representation-Level Signals
by: Wu, Rui, et al.
Published: (2026)
by: Wu, Rui, et al.
Published: (2026)
Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting
by: Feng, Longyu, et al.
Published: (2024)
by: Feng, Longyu, et al.
Published: (2024)
Similar Items
-
A Single Layer to Explain Them All:Understanding Massive Activations in Large Language Models
by: Shi, Zeru, et al.
Published: (2026) -
Read the Scene, Not the Script: Outcome-Aware Safety for LLMs
by: Wu, Rui, et al.
Published: (2025) -
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
by: Lin, Sam, et al.
Published: (2024) -
ADO: Automatic Data Optimization for Inputs in LLM Prompts
by: Lin, Sam, et al.
Published: (2025) -
In-context Demonstration Matters: On Prompt Optimization for Pseudo-Supervision Refinement
by: Zhang, Zhen-Yu, et al.
Published: (2024)