Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Wenjin, Luo, Haoran, Lin, Xueyuan, Liu, Haoming, Shen, Tiesunlong, Wang, Jiapu, Mao, Rui, Cambria, Erik |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
by: Zhang, Mingda, et al.
Published: (2026)
by: Zhang, Mingda, et al.
Published: (2026)
LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence
by: Liu, Wenjin, et al.
Published: (2025)
by: Liu, Wenjin, et al.
Published: (2025)
SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration
by: Zhang, Mingda, et al.
Published: (2026)
by: Zhang, Mingda, et al.
Published: (2026)
Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
by: Luo, Haoran, et al.
Published: (2025)
by: Luo, Haoran, et al.
Published: (2025)
Affective Flow Language Model for Emotional Support Conversation
by: Zou, Chenghui, et al.
Published: (2026)
by: Zou, Chenghui, et al.
Published: (2026)
Prompted Aspect Key Point Analysis for Quantitative Review Summarization
by: Tang, An Quang, et al.
Published: (2024)
by: Tang, An Quang, et al.
Published: (2024)
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning
by: Liu, Yuze, et al.
Published: (2024)
by: Liu, Yuze, et al.
Published: (2024)
A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)
by: Zhang, Xulang, et al.
Published: (2025)
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
by: Kwon, Minchan, et al.
Published: (2024)
by: Kwon, Minchan, et al.
Published: (2024)
How Interpretable are Reasoning Explanations from Prompting Large Language Models?
by: Yeo, Wei Jie, et al.
Published: (2024)
by: Yeo, Wei Jie, et al.
Published: (2024)
MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization
by: Zhang, Jian, et al.
Published: (2025)
by: Zhang, Jian, 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)
Automatic Prompt Generation via Adaptive Selection of Prompting Techniques
by: Ikenoue, Yohei, et al.
Published: (2025)
by: Ikenoue, Yohei, et al.
Published: (2025)
LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models
by: Shen, Tiesunlong, et al.
Published: (2026)
by: Shen, Tiesunlong, et al.
Published: (2026)
Efficient End-to-end Language Model Fine-tuning on Graphs
by: Xue, Rui, et al.
Published: (2023)
by: Xue, Rui, et al.
Published: (2023)
APRIL: API Synthesis with Automatic Prompt Optimization and Reinforcement Learning
by: Zhong, Hua, et al.
Published: (2025)
by: Zhong, Hua, 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)
EndPrompt: Efficient Long-Context Extension via Terminal Anchoring
by: Tian, Han, et al.
Published: (2026)
by: Tian, Han, et al.
Published: (2026)
Knowledge Restoration-driven Prompt Optimization: Unlocking LLM Potential for Open-Domain Relational Triplet Extraction
by: Jing, Xiaonan, et al.
Published: (2026)
by: Jing, Xiaonan, et al.
Published: (2026)
Logical Reasoning over Natural Language as Knowledge Representation: A Survey
by: Yang, Zonglin, et al.
Published: (2023)
by: Yang, Zonglin, et al.
Published: (2023)
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization
by: Ong, Keane, et al.
Published: (2025)
by: Ong, Keane, et al.
Published: (2025)
GPTEval: A Survey on Assessments of ChatGPT and GPT-4
by: Mao, Rui, et al.
Published: (2023)
by: Mao, Rui, et al.
Published: (2023)
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
by: Feng, Yu, et al.
Published: (2024)
by: Feng, Yu, et al.
Published: (2024)
BenchBench: Benchmarking Automated Benchmark Generation
by: Zheng, Yandan, et al.
Published: (2026)
by: Zheng, Yandan, et al.
Published: (2026)
StablePT: Towards Stable Prompting for Few-shot Learning via Input Separation
by: Liu, Xiaoming, et al.
Published: (2024)
by: Liu, Xiaoming, et al.
Published: (2024)
Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
by: Murthy, Rithesh, et al.
Published: (2025)
by: Murthy, Rithesh, et al.
Published: (2025)
Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models
by: Kriz, Anita, et al.
Published: (2025)
by: Kriz, Anita, et al.
Published: (2025)
Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis
by: Xiao, Luwei, et al.
Published: (2025)
by: Xiao, Luwei, et al.
Published: (2025)
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
by: He, Kai, et al.
Published: (2023)
by: He, Kai, et al.
Published: (2023)
Enhancing Language Models for Robust Greenwashing Detection
by: Braun, Neil Heinrich, et al.
Published: (2026)
by: Braun, Neil Heinrich, et al.
Published: (2026)
ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking
by: Li, Xianming, et al.
Published: (2025)
by: Li, Xianming, et al.
Published: (2025)
Role-playing Prompt Framework: Generation and Evaluation
by: Liu, Xun, et al.
Published: (2024)
by: Liu, Xun, et al.
Published: (2024)
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization
by: Jafari, Yasaman, et al.
Published: (2024)
by: Jafari, Yasaman, et al.
Published: (2024)
An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration
by: Li, Yihao, et al.
Published: (2024)
by: Li, Yihao, et al.
Published: (2024)
PRL: Prompts from Reinforcement Learning
by: Batorski, Paweł, et al.
Published: (2025)
by: Batorski, Paweł, et al.
Published: (2025)
Discrete Prompt Compression with Reinforcement Learning
by: Jung, Hoyoun, et al.
Published: (2023)
by: Jung, Hoyoun, et al.
Published: (2023)
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)
PARL: Prompt-based Agents for Reinforcement Learning
by: Resendiz, Yarik Menchaca, et al.
Published: (2025)
by: Resendiz, Yarik Menchaca, et al.
Published: (2025)
GRP: Goal-Reversed Prompting for Zero-Shot Evaluation with LLMs
by: Song, Mingyang, et al.
Published: (2025)
by: Song, Mingyang, et al.
Published: (2025)
A Systematic Survey of Automatic Prompt Optimization Techniques
by: Ramnath, Kiran, et al.
Published: (2025)
by: Ramnath, Kiran, et al.
Published: (2025)
Similar Items
-
FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
by: Zhang, Mingda, et al.
Published: (2026) -
LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence
by: Liu, Wenjin, et al.
Published: (2025) -
SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration
by: Zhang, Mingda, et al.
Published: (2026) -
Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
by: Luo, Haoran, et al.
Published: (2025) -
Affective Flow Language Model for Emotional Support Conversation
by: Zou, Chenghui, et al.
Published: (2026)