Representing data in words: A context engineering approach
Fuente:
arXiv
Guardado en:
| Autores principales: | Caut, Amandine M., Rouillard, Amy, Zenebe, Beimnet, Green, Matthias, Morthens, Ágúst Pálmason, Sumpter, David J. T. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
What You Prompt is What You Get: Increasing Transparency of Prompting Using Prompt Cards
por: Caut, Amandine M., et al.
Publicado: (2026)
por: Caut, Amandine M., et al.
Publicado: (2026)
Automated Explanation of Machine Learning Models of Footballing Actions in Words
por: Rahimian, Pegah, et al.
Publicado: (2025)
por: Rahimian, Pegah, et al.
Publicado: (2025)
Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs
por: Wang, Pengda, et al.
Publicado: (2024)
por: Wang, Pengda, et al.
Publicado: (2024)
Using Machine Mental Imagery for Representing Common Ground in Situated Dialogue
por: Mohapatra, Biswesh, et al.
Publicado: (2026)
por: Mohapatra, Biswesh, et al.
Publicado: (2026)
Show or Tell? Modeling the evolution of request-making in Human-LLM conversations
por: Zhu, Shengqi, et al.
Publicado: (2025)
por: Zhu, Shengqi, et al.
Publicado: (2025)
Priming, Path-dependence, and Plasticity: Understanding the molding of user-LLM interaction and its implications from (many) chat logs in the wild
por: Zhu, Shengqi, et al.
Publicado: (2026)
por: Zhu, Shengqi, et al.
Publicado: (2026)
Grounding Gaps in Language Model Generations
por: Shaikh, Omar, et al.
Publicado: (2023)
por: Shaikh, Omar, et al.
Publicado: (2023)
Advancements and limitations of LLMs in replicating human color-word associations
por: Fukushima, Makoto, et al.
Publicado: (2024)
por: Fukushima, Makoto, et al.
Publicado: (2024)
"You tell me": A Dataset of GPT-4-Based Behaviour Change Support Conversations
por: Meyer, Selina, et al.
Publicado: (2024)
por: Meyer, Selina, et al.
Publicado: (2024)
Language Models as Critical Thinking Tools: A Case Study of Philosophers
por: Ye, Andre, et al.
Publicado: (2024)
por: Ye, Andre, et al.
Publicado: (2024)
Large language models provide unsafe answers to patient-posed medical questions
por: Draelos, Rachel L., et al.
Publicado: (2025)
por: Draelos, Rachel L., et al.
Publicado: (2025)
Disentangling Prompt Element Level Risk Factors for Hallucinations and Omissions in Mental Health LLM Responses
por: Ni, Congning, et al.
Publicado: (2026)
por: Ni, Congning, et al.
Publicado: (2026)
Creating and Evaluating Personas Using Generative AI: A Scoping Review of 81 Articles
por: Amin, Danial, et al.
Publicado: (2025)
por: Amin, Danial, et al.
Publicado: (2025)
Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations
por: Hartmann, David, et al.
Publicado: (2025)
por: Hartmann, David, et al.
Publicado: (2025)
Product vs. Process: Exploring EFL Students' Editing of AI-Generated Text for Expository Writing
por: Woo, David James, et al.
Publicado: (2025)
por: Woo, David James, et al.
Publicado: (2025)
BLADE: Better Language Answers through Dialogue and Explanations
por: Jayaweera, Chathuri, et al.
Publicado: (2026)
por: Jayaweera, Chathuri, et al.
Publicado: (2026)
Aging Up AAC: An Introspection on Augmentative and Alternative Communication Applications for Autistic Adults
por: Martin, Lara J., et al.
Publicado: (2024)
por: Martin, Lara J., et al.
Publicado: (2024)
Telephone Surveys Meet Conversational AI: Evaluating a LLM-Based Telephone Survey System at Scale
por: Lang, Max M., et al.
Publicado: (2025)
por: Lang, Max M., et al.
Publicado: (2025)
Making Hybrid Languages: A Recipe
por: Andersen, Leif, et al.
Publicado: (2024)
por: Andersen, Leif, et al.
Publicado: (2024)
CALYPSO: LLMs as Dungeon Masters' Assistants
por: Zhu, Andrew, et al.
Publicado: (2023)
por: Zhu, Andrew, et al.
Publicado: (2023)
Reflecti-Mate: A Conversational Agent for Adaptive Decision-Making Support Through System 1 and System 2 Thinking
por: Tarvirdians, Morita, et al.
Publicado: (2026)
por: Tarvirdians, Morita, et al.
Publicado: (2026)
Multimodal Programming in Computer Science with Interactive Assistance Powered by Large Language Model
por: Gupta, Rajan Das, et al.
Publicado: (2025)
por: Gupta, Rajan Das, et al.
Publicado: (2025)
Leveraging the Domain Adaptation of Retrieval Augmented Generation Models for Question Answering and Reducing Hallucination
por: Rakin, Salman, et al.
Publicado: (2024)
por: Rakin, Salman, et al.
Publicado: (2024)
LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease
por: Raza, Muhammad Zain, et al.
Publicado: (2025)
por: Raza, Muhammad Zain, et al.
Publicado: (2025)
Is Lying Only Sinful in Islam? Exploring Religious Bias in Multilingual Large Language Models Across Major Religions
por: Hossain, Kazi Abrab, et al.
Publicado: (2025)
por: Hossain, Kazi Abrab, et al.
Publicado: (2025)
Dyadic: A Scalable Platform for Human-Human and Human-AI Conversation Research
por: Markowitz, David M.
Publicado: (2026)
por: Markowitz, David M.
Publicado: (2026)
Guiding Generative Storytelling with Knowledge Graphs
por: Pan, Zhijun, et al.
Publicado: (2025)
por: Pan, Zhijun, et al.
Publicado: (2025)
A Survey on LLM-based Conversational User Simulation
por: Ni, Bo, et al.
Publicado: (2026)
por: Ni, Bo, et al.
Publicado: (2026)
Shareholder Democracy with AI Representatives
por: Fulay, Suyash, et al.
Publicado: (2025)
por: Fulay, Suyash, et al.
Publicado: (2025)
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
por: Wuttke, Alexander, et al.
Publicado: (2024)
por: Wuttke, Alexander, et al.
Publicado: (2024)
A Design Space for Intelligent and Interactive Writing Assistants
por: Lee, Mina, et al.
Publicado: (2024)
por: Lee, Mina, et al.
Publicado: (2024)
Serendipity with Generative AI: Repurposing knowledge components during polycrisis with a Viable Systems Model approach
por: Fletcher, Gordon, et al.
Publicado: (2025)
por: Fletcher, Gordon, et al.
Publicado: (2025)
Deep Learning and Machine Learning -- Natural Language Processing: From Theory to Application
por: Chen, Keyu, et al.
Publicado: (2024)
por: Chen, Keyu, et al.
Publicado: (2024)
Are Humans as Brittle as Large Language Models?
por: Li, Jiahui, et al.
Publicado: (2025)
por: Li, Jiahui, et al.
Publicado: (2025)
An Expert Schema for Evaluating Large Language Model Errors in Scholarly Question-Answering Systems
por: Martin-Boyle, Anna, et al.
Publicado: (2026)
por: Martin-Boyle, Anna, et al.
Publicado: (2026)
Evaluation Of P300 Speller Performance Using Large Language Models Along With Cross-Subject Training
por: Parthasarathy, Nithin, et al.
Publicado: (2024)
por: Parthasarathy, Nithin, et al.
Publicado: (2024)
Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing
por: Zhang, Wenyuan, et al.
Publicado: (2024)
por: Zhang, Wenyuan, et al.
Publicado: (2024)
Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts
por: Kim, Seon Gyeom, et al.
Publicado: (2025)
por: Kim, Seon Gyeom, et al.
Publicado: (2025)
Explainable AI Components for Narrative Map Extraction
por: Keith, Brian, et al.
Publicado: (2025)
por: Keith, Brian, et al.
Publicado: (2025)
TALLMesh: a simple application for performing Thematic Analysis with Large Language Models
por: De Paoli, Stefano, et al.
Publicado: (2025)
por: De Paoli, Stefano, et al.
Publicado: (2025)
Ejemplares similares
-
What You Prompt is What You Get: Increasing Transparency of Prompting Using Prompt Cards
por: Caut, Amandine M., et al.
Publicado: (2026) -
Automated Explanation of Machine Learning Models of Footballing Actions in Words
por: Rahimian, Pegah, et al.
Publicado: (2025) -
Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs
por: Wang, Pengda, et al.
Publicado: (2024) -
Using Machine Mental Imagery for Representing Common Ground in Situated Dialogue
por: Mohapatra, Biswesh, et al.
Publicado: (2026) -
Show or Tell? Modeling the evolution of request-making in Human-LLM conversations
por: Zhu, Shengqi, et al.
Publicado: (2025)