Crowdsourced Adaptive Surveys
Fuente:
arXiv
Saved in:
| Main Author: | Velez, Yamil |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Limits of Large Language Models in Debating Humans
by: Flamino, James, et al.
Published: (2024)
by: Flamino, James, et al.
Published: (2024)
ADAPTS: Agentic Decomposition for Automated Protocol-agnostic Tracking of Symptoms
by: Vail, Alexandria K., et al.
Published: (2026)
by: Vail, Alexandria K., et al.
Published: (2026)
Mental Health Impacts of AI Companions: Triangulating Social Media Quasi-Experiments, User Perspectives, and Relational Theory
by: Yuan, Yunhao, et al.
Published: (2025)
by: Yuan, Yunhao, et al.
Published: (2025)
Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows
by: Grunde-McLaughlin, Madeleine, et al.
Published: (2023)
by: Grunde-McLaughlin, Madeleine, et al.
Published: (2023)
FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering
by: Hu, Silan, et al.
Published: (2024)
by: Hu, Silan, et al.
Published: (2024)
Causal Responsibility Attribution for Human-AI Collaboration
by: Qi, Yahang, et al.
Published: (2024)
by: Qi, Yahang, et al.
Published: (2024)
AI-Assisted Conversational Interviewing: Effects on Data Quality and Respondent Experience
by: Barari, Soubhik, et al.
Published: (2025)
by: Barari, Soubhik, et al.
Published: (2025)
Pilot Study on Student Public Opinion Regarding GAI
by: Lamberti, William Franz, et al.
Published: (2026)
by: Lamberti, William Franz, et al.
Published: (2026)
"Crash Test Dummies" for AI-Enabled Clinical Assessment: Validating Virtual Patient Scenarios with Virtual Learners
by: Gin, Brian, et al.
Published: (2026)
by: Gin, Brian, et al.
Published: (2026)
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
by: Wuttke, Alexander, et al.
Published: (2024)
by: Wuttke, Alexander, et al.
Published: (2024)
Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI
by: Guo, Hangzhi, et al.
Published: (2024)
by: Guo, Hangzhi, et al.
Published: (2024)
Pilot Study on Generative AI and Critical Thinking in Higher Education Classrooms
by: Lamberti, W. F., et al.
Published: (2025)
by: Lamberti, W. F., et al.
Published: (2025)
Integrating Computational Methods and AI into Qualitative Studies of Aging and Later Life
by: Abramson, Corey M.
Published: (2025)
by: Abramson, Corey M.
Published: (2025)
Digital Twins as Funhouse Mirrors: Five Key Distortions
by: Peng, Tianyi, et al.
Published: (2025)
by: Peng, Tianyi, et al.
Published: (2025)
If in a Crowdsourced Data Annotation Pipeline, a GPT-4
by: He, Zeyu, et al.
Published: (2024)
by: He, Zeyu, et al.
Published: (2024)
Data Quality in Crowdsourcing and Spamming Behavior Detection
by: Ba, Yang, et al.
Published: (2024)
by: Ba, Yang, et al.
Published: (2024)
Large Language Models and Games: A Survey and Roadmap
by: Gallotta, Roberto, et al.
Published: (2024)
by: Gallotta, Roberto, et al.
Published: (2024)
Overhearing LLM Agents: A Survey, Taxonomy, and Roadmap
by: Zhu, Andrew, et al.
Published: (2025)
by: Zhu, Andrew, et al.
Published: (2025)
Large Language Model-Brained GUI Agents: A Survey
by: Zhang, Chaoyun, et al.
Published: (2024)
by: Zhang, Chaoyun, et al.
Published: (2024)
A Survey on Human-AI Collaboration with Large Foundation Models
by: Vats, Vanshika, et al.
Published: (2024)
by: Vats, Vanshika, et al.
Published: (2024)
Creativity in LLM-based Multi-Agent Systems: A Survey
by: Lin, Yi-Cheng, et al.
Published: (2025)
by: Lin, Yi-Cheng, et al.
Published: (2025)
A Survey of Large Language Model Agents for Question Answering
by: Yue, Murong
Published: (2025)
by: Yue, Murong
Published: (2025)
Evaluating Adaptive Personalization of Educational Readings with Simulated Learners
by: Woo, Ryan T., et al.
Published: (2026)
by: Woo, Ryan T., et al.
Published: (2026)
AI Telephone Surveying: Automating Quantitative Data Collection with an AI Interviewer
by: Leybzon, Danny D., et al.
Published: (2025)
by: Leybzon, Danny D., et al.
Published: (2025)
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
by: Sahoo, Pranab, et al.
Published: (2024)
by: Sahoo, Pranab, et al.
Published: (2024)
Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy
by: Afzoon, Saleh, et al.
Published: (2025)
by: Afzoon, Saleh, et al.
Published: (2025)
Evaluating Saliency Explanations in NLP by Crowdsourcing
by: Lu, Xiaotian, et al.
Published: (2024)
by: Lu, Xiaotian, et al.
Published: (2024)
How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond
by: Huang, Chen, et al.
Published: (2025)
by: Huang, Chen, et al.
Published: (2025)
Theoretical Foundations of δ-margin Majority Voting
by: Boyarskaya, Margarita, et al.
Published: (2021)
by: Boyarskaya, Margarita, et al.
Published: (2021)
SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques
by: Guo, Qiming, et al.
Published: (2024)
by: Guo, Qiming, et al.
Published: (2024)
The Impossibility of Fair LLMs
by: Anthis, Jacy, et al.
Published: (2024)
by: Anthis, Jacy, et al.
Published: (2024)
A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions
by: Ranjan, Rajesh, et al.
Published: (2024)
by: Ranjan, Rajesh, et al.
Published: (2024)
EthosGPT: Mapping Human Value Diversity to Advance Sustainable Development Goals (SDGs)
by: Zhang, Luyao
Published: (2025)
by: Zhang, Luyao
Published: (2025)
A Crowdsourced Study of ChatBot Influence in Value-Driven Decision Making Scenarios
by: Wise, Anthony, et al.
Published: (2025)
by: Wise, Anthony, et al.
Published: (2025)
Large Language Models Show Human-like Social Desirability Biases in Survey Responses
by: Salecha, Aadesh, et al.
Published: (2024)
by: Salecha, Aadesh, et al.
Published: (2024)
Generative AI Perceptions: A Survey to Measure the Perceptions of Faculty, Staff, and Students on Generative AI Tools in Academia
by: Amani, Sara, et al.
Published: (2023)
by: Amani, Sara, et al.
Published: (2023)
From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategies
by: Triantafyllopoulos, Loukas, et al.
Published: (2025)
by: Triantafyllopoulos, Loukas, et al.
Published: (2025)
Learning in Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework for Language Learning
by: Scaria, Nicy, et al.
Published: (2026)
by: Scaria, Nicy, et al.
Published: (2026)
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape
by: McIntosh, Timothy R., et al.
Published: (2023)
by: McIntosh, Timothy R., et al.
Published: (2023)
Language Modelling Approaches to Adaptive Machine Translation
by: Moslem, Yasmin
Published: (2024)
by: Moslem, Yasmin
Published: (2024)
Similar Items
-
Limits of Large Language Models in Debating Humans
by: Flamino, James, et al.
Published: (2024) -
ADAPTS: Agentic Decomposition for Automated Protocol-agnostic Tracking of Symptoms
by: Vail, Alexandria K., et al.
Published: (2026) -
Mental Health Impacts of AI Companions: Triangulating Social Media Quasi-Experiments, User Perspectives, and Relational Theory
by: Yuan, Yunhao, et al.
Published: (2025) -
Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows
by: Grunde-McLaughlin, Madeleine, et al.
Published: (2023) -
FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering
by: Hu, Silan, et al.
Published: (2024)