Wordflow: Social Prompt Engineering for Large Language Models

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Wang, Zijie J., Chakravarthy, Aishwarya, Munechika, David, Chau, Duen Horng
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Human-Computer Interaction Artificial Intelligence Computation and Language Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

LLM Attributor: Interactive Visual Attribution for LLM Generation
von: Lee, Seongmin, et al.
Veröffentlicht: (2024)

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks
von: Wang, Zijie J., et al.
Veröffentlicht: (2023)

MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation
von: Wang, Zijie J., et al.
Veröffentlicht: (2024)

Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models
von: Blalock, Justin, et al.
Veröffentlicht: (2024)

Transformer Explainer: Interactive Learning of Text-Generative Models
von: Cho, Aeree, et al.
Veröffentlicht: (2024)

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
von: Lee, Seongmin, et al.
Veröffentlicht: (2023)

SPRIG: Improving Large Language Model Performance by System Prompt Optimization
von: Zhang, Lechen, et al.
Veröffentlicht: (2024)

An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide
von: Fagbohun, Oluwole, et al.
Veröffentlicht: (2024)

Effective Guidance for Model Attention with Simple Yes-no Annotations
von: Lee, Seongmin, et al.
Veröffentlicht: (2024)

Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent
von: He, Zeyu, et al.
Veröffentlicht: (2025)

Autonomous Prompt Engineering in Large Language Models
von: Kepel, Daan, et al.
Veröffentlicht: (2024)

When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
von: Zheng, Mingqian, et al.
Veröffentlicht: (2023)

Cross-Lingual Prompt Steerability: Towards Accurate and Robust LLM Behavior across Languages
von: Zhang, Lechen, et al.
Veröffentlicht: (2025)

Benchmarking Gender and Political Bias in Large Language Models
von: Yang, Jinrui, et al.
Veröffentlicht: (2025)

Heterogeneous Value Alignment Evaluation for Large Language Models
von: Zhang, Zhaowei, et al.
Veröffentlicht: (2023)

A Security Risk Taxonomy for Prompt-Based Interaction With Large Language Models
von: Derner, Erik, et al.
Veröffentlicht: (2023)

Evaluating Large Language Models for Health-related Queries with Presuppositions
von: Kaur, Navreet, et al.
Veröffentlicht: (2023)

What Large Language Models Know and What People Think They Know
von: Steyvers, Mark, et al.
Veröffentlicht: (2024)

Value-Action Alignment in Large Language Models under Privacy-Prosocial Conflict
von: Chen, Guanyu, et al.
Veröffentlicht: (2026)

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
von: Kahng, Minsuk, et al.
Veröffentlicht: (2024)

Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models
von: Naderi, Nariman, et al.
Veröffentlicht: (2025)

Beyond Semantic Similarity: A Component-Wise Evaluation Framework for Medical Question Answering Systems with Health Equity Implications
von: Sakib, Abu Noman Md, et al.
Veröffentlicht: (2026)

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
von: Sahoo, Pranab, et al.
Veröffentlicht: (2024)

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review
von: Ye, Rui, et al.
Veröffentlicht: (2024)

How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
von: Xu, Ziwen, et al.
Veröffentlicht: (2026)

Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry
von: Barandoni, Simone, et al.
Veröffentlicht: (2024)

Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models
von: Soni, Nikita, et al.
Veröffentlicht: (2026)

Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI
von: Saha, Agnik, et al.
Veröffentlicht: (2025)

Open-Source Large Language Models as Multilingual Crowdworkers: Synthesizing Open-Domain Dialogues in Several Languages With No Examples in Targets and No Machine Translation
von: Njifenjou, Ahmed, et al.
Veröffentlicht: (2025)

Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy
von: Filienko, Daniil, et al.
Veröffentlicht: (2024)

ParlAI Vote: A Web Platform for Analyzing Gender and Political Bias in Large Language Models
von: Lin, Wenjie, et al.
Veröffentlicht: (2025)

Interactive Prompt Debugging with Sequence Salience
von: Tenney, Ian, et al.
Veröffentlicht: (2024)

UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models
von: Guo, Jiayi, et al.
Veröffentlicht: (2024)

Prediction-Powered Ranking of Large Language Models
von: Chatzi, Ivi, et al.
Veröffentlicht: (2024)

Evaluating the Prompt Steerability of Large Language Models
von: Miehling, Erik, et al.
Veröffentlicht: (2024)

Linear Representations of Political Perspective Emerge in Large Language Models
von: Kim, Junsol, et al.
Veröffentlicht: (2025)

Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
von: Qi, Jirui, et al.
Veröffentlicht: (2023)

Can Large Language Models Unlock Novel Scientific Research Ideas?
von: Kumar, Sandeep, et al.
Veröffentlicht: (2024)

Advanced Machine Learning Techniques for Social Support Detection on Social Media
von: Kolesnikova, Olga, et al.
Veröffentlicht: (2025)

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
von: Liang, Weixin
Veröffentlicht: (2025)