Robust Prompt Optimization for Large Language Models Against Distribution Shifts
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Moxin, Wang, Wenjie, Feng, Fuli, Cao, Yixin, Zhang, Jizhi, Chua, Tat-Seng |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data
by: Zhu, Fengbin, et al.
Published: (2024)
by: Zhu, Fengbin, et al.
Published: (2024)
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs
by: Zhu, Fengbin, et al.
Published: (2023)
by: Zhu, Fengbin, et al.
Published: (2023)
Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery
by: Yang, Chaoqun, et al.
Published: (2026)
by: Yang, Chaoqun, et al.
Published: (2026)
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
by: Li, Xiaoyuan, et al.
Published: (2024)
by: Li, Xiaoyuan, et al.
Published: (2024)
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
by: Li, Moxin, et al.
Published: (2024)
by: Li, Moxin, et al.
Published: (2024)
Large Language Models Empowered Personalized Web Agents
by: Cai, Hongru, et al.
Published: (2024)
by: Cai, Hongru, et al.
Published: (2024)
VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation
by: Ye, Ziang, et al.
Published: (2025)
by: Ye, Ziang, et al.
Published: (2025)
Prospect Personalized Recommendation on Large Language Model-based Agent Platform
by: Zhang, Jizhi, et al.
Published: (2024)
by: Zhang, Jizhi, et al.
Published: (2024)
Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks
by: Mu, Lin, et al.
Published: (2025)
by: Mu, Lin, et al.
Published: (2025)
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
by: Deng, Yang, et al.
Published: (2023)
by: Deng, Yang, et al.
Published: (2023)
Distillation Enhanced Generative Retrieval
by: Li, Yongqi, et al.
Published: (2024)
by: Li, Yongqi, et al.
Published: (2024)
Large Language Models are Learnable Planners for Long-Term Recommendation
by: Shi, Wentao, et al.
Published: (2024)
by: Shi, Wentao, et al.
Published: (2024)
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond
by: Li, Yongqi, et al.
Published: (2024)
by: Li, Yongqi, et al.
Published: (2024)
Transport and Merge: Cross-Architecture Merging for Large Language Models
by: Cui, Chenhang, et al.
Published: (2026)
by: Cui, Chenhang, et al.
Published: (2026)
The Emergence of Abstract Thought in Large Language Models Beyond Any Language
by: Chen, Yuxin, et al.
Published: (2025)
by: Chen, Yuxin, et al.
Published: (2025)
Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
by: Li, Moxin, et al.
Published: (2025)
by: Li, Moxin, et al.
Published: (2025)
Plant, Persist, Trigger: Sleeper Attack on Large Language Model Agents
by: Li, Yongxiang, et al.
Published: (2026)
by: Li, Yongxiang, et al.
Published: (2026)
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
by: Zhang, Yang, et al.
Published: (2024)
by: Zhang, Yang, et al.
Published: (2024)
A Survey on Neural Question Generation: Methods, Applications, and Prospects
by: Guo, Shasha, et al.
Published: (2024)
by: Guo, Shasha, et al.
Published: (2024)
Ask-before-Plan: Proactive Language Agents for Real-World Planning
by: Zhang, Xuan, et al.
Published: (2024)
by: Zhang, Xuan, et al.
Published: (2024)
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
by: Fan, Wenqi, et al.
Published: (2024)
by: Fan, Wenqi, et al.
Published: (2024)
Reinforced Latent Reasoning for LLM-based Recommendation
by: Zhang, Yang, et al.
Published: (2025)
by: Zhang, Yang, et al.
Published: (2025)
SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation
by: Qu, Leigang, et al.
Published: (2024)
by: Qu, Leigang, et al.
Published: (2024)
TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models
by: Qu, Leigang, et al.
Published: (2024)
by: Qu, Leigang, et al.
Published: (2024)
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
by: Ao, Tu, et al.
Published: (2025)
by: Ao, Tu, et al.
Published: (2025)
Hello Again! LLM-powered Personalized Agent for Long-term Dialogue
by: Li, Hao, et al.
Published: (2024)
by: Li, Hao, et al.
Published: (2024)
Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)
by: Ma, Ruotian, et al.
Published: (2024)
TTOM: Test-Time Optimization and Memorization for Compositional Video Generation
by: Qu, Leigang, et al.
Published: (2025)
by: Qu, Leigang, et al.
Published: (2025)
Discriminative Probing and Tuning for Text-to-Image Generation
by: Qu, Leigang, et al.
Published: (2024)
by: Qu, Leigang, et al.
Published: (2024)
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding
by: Zhu, Fengbin, et al.
Published: (2024)
by: Zhu, Fengbin, et al.
Published: (2024)
MURE: Hierarchical Multi-Resolution Encoding via Vision-Language Models for Visual Document Retrieval
by: Zhu, Fengbin, et al.
Published: (2026)
by: Zhu, Fengbin, et al.
Published: (2026)
Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations
by: Deng, Yang, et al.
Published: (2024)
by: Deng, Yang, et al.
Published: (2024)
Prompt and Parameter Co-Optimization for Large Language Models
by: Bo, Xiaohe, et al.
Published: (2025)
by: Bo, Xiaohe, et al.
Published: (2025)
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
by: Zhou, Andy, et al.
Published: (2024)
by: Zhou, Andy, et al.
Published: (2024)
One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
by: Cai, Hongru, et al.
Published: (2026)
by: Cai, Hongru, et al.
Published: (2026)
A Survey of Generative Search and Recommendation in the Era of Large Language Models
by: Li, Yongqi, et al.
Published: (2024)
by: Li, Yongqi, et al.
Published: (2024)
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations
by: Qin, Peixin, et al.
Published: (2024)
by: Qin, Peixin, et al.
Published: (2024)
On the Worst Prompt Performance of Large Language Models
by: Cao, Bowen, et al.
Published: (2024)
by: Cao, Bowen, et al.
Published: (2024)
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation
by: Zheng, Jingnan, et al.
Published: (2024)
by: Zheng, Jingnan, et al.
Published: (2024)
Optimizing Psychological Counseling with Instruction-Tuned Large Language Models
by: Li, Wenjie, et al.
Published: (2024)
by: Li, Wenjie, et al.
Published: (2024)
Similar Items
-
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data
by: Zhu, Fengbin, et al.
Published: (2024) -
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs
by: Zhu, Fengbin, et al.
Published: (2023) -
Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery
by: Yang, Chaoqun, et al.
Published: (2026) -
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
by: Li, Xiaoyuan, et al.
Published: (2024) -
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
by: Li, Moxin, et al.
Published: (2024)