Cover Image

Effective Structured Prompting by Meta-Learning and Representative Verbalizer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Weisen, Zhang, Yu, Kwok, James T.
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
by: Chen, Shuhao, et al.
Published: (2024)

Forward-Backward Reasoning in Large Language Models for Mathematical Verification
by: Jiang, Weisen, et al.
Published: (2023)

MetaDefense: Defending Finetuning-based Jailbreak Attack Before and During Generation
by: Jiang, Weisen, et al.
Published: (2025)

MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification
by: Jiang, Weisen, et al.
Published: (2026)

System Prompt Optimization with Meta-Learning
by: Choi, Yumin, et al.
Published: (2025)

Inference and Verbalization Functions During In-Context Learning
by: Tao, Junyi, et al.
Published: (2024)

Verbal Werewolf: Engage Users with Verbalized Agentic Werewolf Game Framework
by: Fan, Qihui, et al.
Published: (2025)

RLVF: Learning from Verbal Feedback without Overgeneralization
by: Stephan, Moritz, et al.
Published: (2024)

Continuous QA Learning with Structured Prompts
by: Zheng, Yinhe
Published: (2022)

The Unreasonable Effectiveness of Eccentric Automatic Prompts
by: Battle, Rick, et al.
Published: (2024)

Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
by: Treutlein, Johannes, et al.
Published: (2024)

An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
by: Zhang, Yizhou, et al.
Published: (2024)

Language Models Can Learn from Verbal Feedback Without Scalar Rewards
by: Luo, Renjie, et al.
Published: (2025)

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
by: Yu, Longhui, et al.
Published: (2023)

On Meta-Prompting
by: de Wynter, Adrian, et al.
Published: (2023)

MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation
by: Riaz, Haris, et al.
Published: (2025)

Automated Meta Prompt Engineering for Alignment with the Theory of Mind
by: Baughman, Aaron, et al.
Published: (2025)

CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
by: Feng, Yu, et al.
Published: (2024)

How do LLMs Compute Verbal Confidence
by: Kumaran, Dharshan, et al.
Published: (2026)

Task Facet Learning: A Structured Approach to Prompt Optimization
by: Juneja, Gurusha, et al.
Published: (2024)

Rapid Word Learning Through Meta In-Context Learning
by: Wang, Wentao, et al.
Published: (2025)

Verbal Process Supervision Elicits Better Coding Agents
by: Chen, Hao-Yuan, et al.
Published: (2025)

Manual Verbalizer Enrichment for Few-Shot Text Classification
by: Nguyen, Quang Anh, et al.
Published: (2024)

PRewrite: Prompt Rewriting with Reinforcement Learning
by: Kong, Weize, et al.
Published: (2024)

Learning to Compress Prompt in Natural Language Formats
by: Chuang, Yu-Neng, et al.
Published: (2024)

Structured Prompts Improve Evaluation of Language Models
by: Aali, Asad, et al.
Published: (2025)

When Does a Language Model Commit? A Finite-Answer Theory of Pre-Verbalization Commitment
by: Zhang, Long, et al.
Published: (2026)

Language Models Represent Space and Time
by: Gurnee, Wes, et al.
Published: (2023)

Representing Rule-based Chatbots with Transformers
by: Friedman, Dan, et al.
Published: (2024)

MetaScale: Test-Time Scaling with Evolving Meta-Thoughts
by: Liu, Qin, et al.
Published: (2025)

Bolster Hallucination Detection via Prompt-Guided Data Augmentation
by: Li, Wenyun, et al.
Published: (2025)

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
by: Choi, Yunseon, et al.
Published: (2024)

Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
by: Schnabel, Tobias, et al.
Published: (2024)

Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
by: Li, Hanchen, et al.
Published: (2026)

Meta-Sel: Efficient Demonstration Selection for In-Context Learning via Supervised Meta-Learning
by: Wang, Xubin, et al.
Published: (2026)

Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint Verbalization
by: Zaman, Kerem, et al.
Published: (2025)

RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendation
by: Chen, Shuhao, et al.
Published: (2026)

Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
by: Simmons, Gabriel, et al.
Published: (2024)

DynaPrompt: Dynamic Test-Time Prompt Tuning
by: Xiao, Zehao, et al.
Published: (2025)

Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
by: Dong, Harry, et al.
Published: (2024)