PARL: Prompt-based Agents for Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Resendiz, Yarik Menchaca, Klinger, Roman |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MOPO: Multi-Objective Prompt Optimization for Affective Text Generation
by: Resendiz, Yarik Menchaca, et al.
Published: (2024)
by: Resendiz, Yarik Menchaca, et al.
Published: (2024)
LLM-based Affective Text Generation Quality Based on Different Quantization Values
by: Resendiz, Yarik Menchaca, et al.
Published: (2025)
by: Resendiz, Yarik Menchaca, et al.
Published: (2025)
iPOE: Interpretable Prompt Optimization via Explanations
by: Li, Jiahui, et al.
Published: (2026)
by: Li, Jiahui, et al.
Published: (2026)
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification
by: Wührl, Amelie, et al.
Published: (2024)
by: Wührl, Amelie, et al.
Published: (2024)
Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering
by: Hofmann, Jan, et al.
Published: (2024)
by: Hofmann, Jan, et al.
Published: (2024)
Which Demographics do LLMs Default to During Annotation?
by: Schäfer, Johannes, et al.
Published: (2024)
by: Schäfer, Johannes, et al.
Published: (2024)
English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts
by: Bareiß, Patrick, et al.
Published: (2024)
by: Bareiß, Patrick, et al.
Published: (2024)
iPrOp: Interactive Prompt Optimization for Large Language Models with a Human in the Loop
by: Li, Jiahui, et al.
Published: (2024)
by: Li, Jiahui, et al.
Published: (2024)
Self-Adaptive Paraphrasing and Preference Learning for Improved Claim Verifiability
by: Wührl, Amelie, et al.
Published: (2024)
by: Wührl, Amelie, et al.
Published: (2024)
PARL-MT: Learning to Call Functions in Multi-Turn Conversation with Progress Awareness
by: Chai, Huacan, et al.
Published: (2025)
by: Chai, Huacan, et al.
Published: (2025)
Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based Deception
by: Velutharambath, Aswathy, et al.
Published: (2024)
by: Velutharambath, Aswathy, et al.
Published: (2024)
Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs
by: Greschner, Lynn, et al.
Published: (2024)
by: Greschner, Lynn, et al.
Published: (2024)
Topic Bias in Emotion Classification
by: Wegge, Maximilian, et al.
Published: (2023)
by: Wegge, Maximilian, et al.
Published: (2023)
What if Deception Cannot be Detected? A Cross-Linguistic Study on the Limits of Deception Detection from Text
by: Velutharambath, Aswathy, et al.
Published: (2025)
by: Velutharambath, Aswathy, et al.
Published: (2025)
Trust Me, I Can Convince You: The Contextualized Argument Appraisal Framework
by: Greschner, Lynn, et al.
Published: (2025)
by: Greschner, Lynn, et al.
Published: (2025)
How Entangled is Factuality and Deception in German?
by: Velutharambath, Aswathy, et al.
Published: (2024)
by: Velutharambath, Aswathy, et al.
Published: (2024)
Are Humans as Brittle as Large Language Models?
by: Li, Jiahui, et al.
Published: (2025)
by: Li, Jiahui, et al.
Published: (2025)
Disambiguation of Emotion Annotations by Contextualizing Events in Plausible Narratives
by: Schäfer, Johannes, et al.
Published: (2025)
by: Schäfer, Johannes, et al.
Published: (2025)
Regular-pattern-sensitive CRFs for Distant Label Interactions
by: Papay, Sean, et al.
Published: (2024)
by: Papay, Sean, et al.
Published: (2024)
Categorical Emotions or Appraisals - Which Emotion Model Explains Argument Convincingness Better?
by: Greschner, Lynn, et al.
Published: (2025)
by: Greschner, Lynn, et al.
Published: (2025)
Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts
by: Bagdon, Christopher, et al.
Published: (2025)
by: Bagdon, Christopher, et al.
Published: (2025)
"You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling
by: Bagdon, Christopher, et al.
Published: (2024)
by: Bagdon, Christopher, et al.
Published: (2024)
Understanding Fine-grained Distortions in Reports of Scientific Findings
by: Wührl, Amelie, et al.
Published: (2024)
by: Wührl, Amelie, et al.
Published: (2024)
Entity-Level Sentiment: More than the Sum of Its Parts
by: Rønningstad, Egil, et al.
Published: (2024)
by: Rønningstad, Egil, et al.
Published: (2024)
Reinforcement World Model Learning for LLM-based Agents
by: Yu, Xiao, et al.
Published: (2026)
by: Yu, Xiao, et al.
Published: (2026)
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)
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning
by: Basu, Kinjal, et al.
Published: (2024)
by: Basu, Kinjal, et al.
Published: (2024)
Emotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detection
by: Chen, Yanran, et al.
Published: (2025)
by: Chen, Yanran, et al.
Published: (2025)
EMPOWER: Evolutionary Medical Prompt Optimization With Reinforcement Learning
by: Chen, Yinda, et al.
Published: (2025)
by: Chen, Yinda, 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)
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)
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)
Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning
by: Liu, Wenjin, et al.
Published: (2025)
by: Liu, Wenjin, et al.
Published: (2025)
Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces
by: Zhang, Chenchen
Published: (2026)
by: Zhang, Chenchen
Published: (2026)
PRewrite: Prompt Rewriting with Reinforcement Learning
by: Kong, Weize, et al.
Published: (2024)
by: Kong, Weize, et al.
Published: (2024)
Dealing with Controversy: An Emotion and Coping Strategy Corpus Based on Role Playing
by: Troiano, Enrica, et al.
Published: (2024)
by: Troiano, Enrica, et al.
Published: (2024)
L0: Reinforcement Learning to Become General Agents
by: Zhang, Junjie, et al.
Published: (2025)
by: Zhang, Junjie, et al.
Published: (2025)
Punctuation-aware treebank tree binarization
by: Klinger, Eitan, et al.
Published: (2025)
by: Klinger, Eitan, et al.
Published: (2025)
Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
by: Xu, Xin, et al.
Published: (2026)
by: Xu, Xin, et al.
Published: (2026)
Similar Items
-
MOPO: Multi-Objective Prompt Optimization for Affective Text Generation
by: Resendiz, Yarik Menchaca, et al.
Published: (2024) -
LLM-based Affective Text Generation Quality Based on Different Quantization Values
by: Resendiz, Yarik Menchaca, et al.
Published: (2025) -
iPOE: Interpretable Prompt Optimization via Explanations
by: Li, Jiahui, et al.
Published: (2026) -
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification
by: Wührl, Amelie, et al.
Published: (2024) -
Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering
by: Hofmann, Jan, et al.
Published: (2024)