Cover Image

The meaning of prompts and the prompts of meaning: Semiotic reflections and modelling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Thellefsen, Martin, Dewi, Amalia Nurma, Sorensen, Bent
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What's in a prompt? Language models encode literary style in prompt embeddings
by: Sarfati, Raphaël, et al.
Published: (2025)

Demystifying optimized prompts in language models
by: Melamed, Rimon, et al.
Published: (2025)

Why is prompting hard? Understanding prompts on binary sequence predictors
by: Wenliang, Li Kevin, et al.
Published: (2025)

Knowledge prompt chaining for semantic modeling
by: Ding, Ning Pei, et al.
Published: (2025)

Do prompt positions really matter?
by: Mao, Junyu, et al.
Published: (2023)

DeepSeek's WEIRD Behavior: The cultural alignment of Large Language Models and the effects of prompt language and cultural prompting
by: Luther, James, et al.
Published: (2025)

From prompting to evidence-based translation: A RAG+prompt system for Japanese-Chinese translation and its pedagogical potential
by: Gu, Wenshi
Published: (2026)

Meta-prompting Optimized Retrieval-augmented Generation
by: Rodrigues, João, et al.
Published: (2024)

Biomedical knowledge graph-optimized prompt generation for large language models
by: Soman, Karthik, et al.
Published: (2023)

Dynamic Embeddings with Task-Oriented prompting
by: Balloccu, Allmin, et al.
Published: (2024)

Composable Cross-prompt Essay Scoring by Merging Models
by: Lee, Sanwoo, et al.
Published: (2025)

Unleashing the potential of prompt engineering for large language models
by: Chen, Banghao, et al.
Published: (2023)

Efficient multi-prompt evaluation of LLMs
by: Polo, Felipe Maia, et al.
Published: (2024)

The American Ghost in the Machine: How language models align culturally and the effects of cultural prompting
by: Luther, James, et al.
Published: (2025)

The Few-shot Dilemma: Over-prompting Large Language Models
by: Tang, Yongjian, et al.
Published: (2025)

Alignment Drift in CEFR-prompted LLMs for Interactive Spanish Tutoring
by: Almasi, Mina, et al.
Published: (2025)

GreenTEA: Gradient Descent with Topic-modeling and Evolutionary Auto-prompting
by: Dong, Zheng, et al.
Published: (2025)

Chain-of-Though (CoT) prompting strategies for medical error detection and correction
by: Wu, Zhaolong, et al.
Published: (2024)

CRCL at SemEval-2024 Task 2: Simple prompt optimizations
by: Brutti-Mairesse, Clément, et al.
Published: (2024)

Evaluation of a semi-autonomous attentive listening system with takeover prompting
by: Kawai, Haruki, et al.
Published: (2024)

Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMs
by: Ceron, Tanise, et al.
Published: (2024)

Do different prompting methods yield a common task representation in language models?
by: Davidson, Guy, et al.
Published: (2025)

Exploring prompts to elicit memorization in masked language model-based named entity recognition
by: Xia, Yuxi, et al.
Published: (2024)

MOSLIM:Align with diverse preferences in prompts through reward classification
by: Zhang, Yu, et al.
Published: (2025)

Extending Whisper with prompt tuning to target-speaker ASR
by: Ma, Hao, et al.
Published: (2023)

Emergent misalignment as prompt sensitivity: A research note
by: Wyse, Tim, et al.
Published: (2025)

QA-prompting: Improving Summarization with Large Language Models using Question-Answering
by: Sinha, Neelabh
Published: (2025)

Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting
by: Naguib, Marco, et al.
Published: (2024)

A test suite of prompt injection attacks for LLM-based machine translation
by: Miceli-Barone, Antonio Valerio, et al.
Published: (2024)

Towards interfacing large language models with ASR systems using confidence measures and prompting
by: Naderi, Maryam, et al.
Published: (2024)

Zero-shot prompt-based classification: topic labeling in times of foundation models in German Tweets
by: Münker, Simon, et al.
Published: (2024)

Reverse Stable Diffusion: What prompt was used to generate this image?
by: Croitoru, Florinel-Alin, et al.
Published: (2023)

Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
by: Zeng, Jiayi, et al.
Published: (2025)

Certainty robustness: Evaluating LLM stability under self-challenging prompts
by: Saadat, Mohammadreza, et al.
Published: (2026)

One prompt is not enough: Instruction Sensitivity Undermines Embedding Model Evaluation
by: Kostiuk, Yevhen, et al.
Published: (2026)

Using LLMs as prompt modifier to avoid biases in AI image generators
by: Peinl, René
Published: (2025)

BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM
by: Chen, Xiaoyu, et al.
Published: (2025)

Open-vocabulary Auditory Neural Decoding Using fMRI-prompted LLM
by: Chen, Xiaoyu, et al.
Published: (2024)

Evil twins are not that evil: Qualitative insights into machine-generated prompts
by: Rakotonirina, Nathanaël Carraz, et al.
Published: (2024)

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