:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autor principal:	Mühlenbernd, Roland
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2604.02512
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses
por: Eo, Sugyeong, et al.
Publicado: (2026)

Measuring Pragmatic Influence in Large Language Model Instructions
por: Geng, Yilin, et al.
Publicado: (2026)

Context-Aware Pragmatic Metacognitive Prompting for Sarcasm Detection
por: Iskandardinata, Michael, et al.
Publicado: (2025)

Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models
por: Kim, Yeeun, et al.
Publicado: (2024)

PACE: A Pragmatic Agent for Enhancing Communication Efficiency Using Large Language Models
por: Li, Jiaxuan, et al.
Publicado: (2024)

The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure
por: Cook, David A.
Publicado: (2026)

Understanding Understanding: A Pragmatic Framework Motivated by Large Language Models
por: Leyton-Brown, Kevin, et al.
Publicado: (2024)

CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language Models
por: Chun, Jon, et al.
Publicado: (2026)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
por: Wang, Yaxuan, et al.
Publicado: (2025)

Wordflow: Social Prompt Engineering for Large Language Models
por: Wang, Zijie J., et al.
Publicado: (2024)

Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
por: Abraham, Louis, et al.
Publicado: (2024)

Are Large Language Models Good Prompt Optimizers?
por: Ma, Ruotian, et al.
Publicado: (2024)

Large Language Models Prompting With Episodic Memory
por: Do, Dai, et al.
Publicado: (2024)

On the Worst Prompt Performance of Large Language Models
por: Cao, Bowen, et al.
Publicado: (2024)

Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation
por: Riaz, Haris, et al.
Publicado: (2025)

Meaning Typed Prompting: A Technique for Efficient, Reliable Structured Output Generation
por: Irugalbandara, Chandra
Publicado: (2024)

RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
por: Moghaddam, Arya Hadizadeh, et al.
Publicado: (2026)

Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks
por: Mu, Lin, et al.
Publicado: (2025)

Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites
por: Santos, Gabriel Machado, et al.
Publicado: (2025)

From Phonemes to Meaning: Evaluating Large Language Models on Tamil
por: Varsha, Jeyarajalingam, et al.
Publicado: (2025)

Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English
por: Singh, Ishmanbir, et al.
Publicado: (2025)

Debiasing Large Language Models toward Social Factors in Online Behavior Analytics through Prompt Knowledge Tuning
por: Salemi, Hossein, et al.
Publicado: (2026)

Towards Generalist Prompting for Large Language Models by Mental Models
por: Guan, Haoxiang, et al.
Publicado: (2024)

Empathetic Cascading Networks: A Multi-Stage Prompting Technique for Reducing Social Biases in Large Language Models
por: Xin, Wangjiaxuan
Publicado: (2025)

Prompt and Parameter Co-Optimization for Large Language Models
por: Bo, Xiaohe, et al.
Publicado: (2025)

Metacognitive Prompting Improves Understanding in Large Language Models
por: Wang, Yuqing, et al.
Publicado: (2023)

Prompt-based Depth Pruning of Large Language Models
por: Wee, Juyun, et al.
Publicado: (2025)

Unveiling and Manipulating Prompt Influence in Large Language Models
por: Feng, Zijian, et al.
Publicado: (2024)

Prompt-Based Value Steering of Large Language Models
por: Abbo, Giulio Antonio, et al.
Publicado: (2025)

An Empirical Study on Prompt Compression for Large Language Models
por: Zhang, Zheng, et al.
Publicado: (2025)

Dimension-Level Intent Fidelity Evaluation for Large Language Models: Evidence from Structured Prompt Ablation
por: Peng, GAng
Publicado: (2026)

Prompt Programming for Cultural Bias and Alignment of Large Language Models
por: Eren, Maksim, et al.
Publicado: (2026)

Continual Learning Using Only Large Language Model Prompting
por: Qiu, Jiabao, et al.
Publicado: (2024)

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
por: Xu, Benfeng, et al.
Publicado: (2023)

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
por: Murthy, Rithesh, et al.
Publicado: (2025)

Large Language Models Vote: Prompting for Rare Disease Identification
por: Oniani, David, et al.
Publicado: (2023)

Prompting Large Language Models for Supporting the Differential Diagnosis of Anemia
por: Castagnari, Elisa, et al.
Publicado: (2024)

Anti-adversarial Learning: Desensitizing Prompts for Large Language Models
por: Li, Xuan, et al.
Publicado: (2025)

Dynamic Compressing Prompts for Efficient Inference of Large Language Models
por: Hu, Jinwu, et al.
Publicado: (2025)

Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
por: Castillo-Bolado, David, et al.
Publicado: (2024)