Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions
Fuente:
arXiv
Saved in:
| Main Authors: | Bachmann, Fynn, van der Weijden, Daan, Heitz, Lucien, Sarasua, Cristina, Bernstein, Abraham |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast and Adaptive Questionnaires for Voting Advice Applications
by: Bachmann, Fynn, et al.
Published: (2024)
by: Bachmann, Fynn, et al.
Published: (2024)
D-RDW: Diversity-Driven Random Walks for News Recommender Systems
by: Li, Runze, et al.
Published: (2025)
by: Li, Runze, et al.
Published: (2025)
Informfully Recommenders -- Reproducibility Framework for Diversity-aware Intra-session Recommendations
by: Heitz, Lucien, et al.
Published: (2025)
by: Heitz, Lucien, et al.
Published: (2025)
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance
by: Vasu, Rosni, et al.
Published: (2025)
by: Vasu, Rosni, et al.
Published: (2025)
HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation
by: Vasu, Rosni, et al.
Published: (2025)
by: Vasu, Rosni, et al.
Published: (2025)
Linguistic Features Extracted by GPT-4 Improve Alzheimer's Disease Detection based on Spontaneous Speech
by: Heitz, Jonathan, et al.
Published: (2024)
by: Heitz, Jonathan, et al.
Published: (2024)
LLM-Based Bot Broadens the Range of Arguments in Online Discussions, Even When Transparently Disclosed as AI
by: Vuk, Valeria, et al.
Published: (2025)
by: Vuk, Valeria, et al.
Published: (2025)
Bridging Voting and Deliberation with Algorithms: Field Insights from vTaiwan and Kultur Komitee
by: Yang, Joshua C., et al.
Published: (2025)
by: Yang, Joshua C., et al.
Published: (2025)
Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems
by: Wilms, Mieke, et al.
Published: (2026)
by: Wilms, Mieke, et al.
Published: (2026)
Pipeline Analysis for Developing Instruct LLMs in Low-Resource Languages: A Case Study on Basque
by: Corral, Ander, et al.
Published: (2024)
by: Corral, Ander, et al.
Published: (2024)
ConceptFormer: Towards Efficient Use of Knowledge-Graph Embeddings in Large Language Models
by: Barmettler, Joel, et al.
Published: (2025)
by: Barmettler, Joel, et al.
Published: (2025)
Semantic Intelligence: Integrating GPT-4 with A Planning in Low-Cost Robotics
by: Barkley, Jesse, et al.
Published: (2025)
by: Barkley, Jesse, et al.
Published: (2025)
(Table 1, page 67) Chemical analyses and XRD determined mineralogy of manganese nodules from the Pacific Ocean and Southern Ocean
by: van der Weijden, Cornelis H
Published: (1976)
by: van der Weijden, Cornelis H
Published: (1976)
Atomic absorption spectrophotometric determination of selected elements in ferromanganese nodules from the Pacific and Southern Oceans
by: van der Weijden, Cornelis H
Published: (2022)
by: van der Weijden, Cornelis H
Published: (2022)
How good is GPT at writing political speeches for the White House?
by: Savoy, Jacques
Published: (2024)
by: Savoy, Jacques
Published: (2024)
SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation
by: Zhou, Xuhui, et al.
Published: (2025)
by: Zhou, Xuhui, et al.
Published: (2025)
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets
by: Zhao, Yuqing, et al.
Published: (2022)
by: Zhao, Yuqing, et al.
Published: (2022)
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs
by: Wang, Ruijie, et al.
Published: (2023)
by: Wang, Ruijie, et al.
Published: (2023)
Wasserstein t-SNE
by: Bachmann, Fynn, et al.
Published: (2022)
by: Bachmann, Fynn, et al.
Published: (2022)
Bridging the AI Trustworthiness Gap between Functions and Norms
by: Di Scala, Daan, et al.
Published: (2025)
by: Di Scala, Daan, et al.
Published: (2025)
Observing Fine-Grained Changes in Jupyter Notebooks During Development Time
by: Titov, Sergey, et al.
Published: (2025)
by: Titov, Sergey, et al.
Published: (2025)
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
by: Liu, Weijie, et al.
Published: (2025)
by: Liu, Weijie, et al.
Published: (2025)
First-See-Then-Design: A Multi-Stakeholder View for Optimal Performance-Fairness Trade-Offs
by: Gupta, Kavya, et al.
Published: (2026)
by: Gupta, Kavya, et al.
Published: (2026)
Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility
by: Agrawal, Rishabh
Published: (2025)
by: Agrawal, Rishabh
Published: (2025)
QAGCN: Answering Multi-Relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs
by: Wang, Ruijie, et al.
Published: (2022)
by: Wang, Ruijie, et al.
Published: (2022)
Undesirable Biases in NLP: Addressing Challenges of Measurement
by: van der Wal, Oskar, et al.
Published: (2022)
by: van der Wal, Oskar, et al.
Published: (2022)
Scoring rule nets: beyond mean target prediction in multivariate regression
by: Roordink, Daan, et al.
Published: (2024)
by: Roordink, Daan, et al.
Published: (2024)
How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks
by: Ramachandran, Rahul, et al.
Published: (2025)
by: Ramachandran, Rahul, et al.
Published: (2025)
Low-Resource Languages Jailbreak GPT-4
by: Yong, Zheng-Xin, et al.
Published: (2023)
by: Yong, Zheng-Xin, et al.
Published: (2023)
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape
by: Oldenburg, Fynn, et al.
Published: (2023)
by: Oldenburg, Fynn, et al.
Published: (2023)
Modeling the quantum-like dynamics of human reliability ratings in Human-AI interactions by interaction dependent Hamiltonians
by: van der Meer, Johan, et al.
Published: (2025)
by: van der Meer, Johan, et al.
Published: (2025)
Agentic Large Language Models, a survey
by: Plaat, Aske, et al.
Published: (2025)
by: Plaat, Aske, et al.
Published: (2025)
Is GPT-4 conscious?
by: Tait, Izak, et al.
Published: (2024)
by: Tait, Izak, et al.
Published: (2024)
Testing GPT-4-o1-preview on math and science problems: A follow-up study
by: Davis, Ernest
Published: (2024)
by: Davis, Ernest
Published: (2024)
GPTEval: A Survey on Assessments of ChatGPT and GPT-4
by: Mao, Rui, et al.
Published: (2023)
by: Mao, Rui, et al.
Published: (2023)
A survey on the impacts of recommender systems on users, items, and human-AI ecosystems
by: Pappalardo, Luca, et al.
Published: (2024)
by: Pappalardo, Luca, et al.
Published: (2024)
Is GPT-4 a reliable rater? Evaluating Consistency in GPT-4 Text Ratings
by: Hackl, Veronika, et al.
Published: (2023)
by: Hackl, Veronika, et al.
Published: (2023)
Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems
by: Davis, Ernest, et al.
Published: (2023)
by: Davis, Ernest, et al.
Published: (2023)
GPT-4 Technical Report
by: OpenAI, et al.
Published: (2023)
by: OpenAI, et al.
Published: (2023)
Tackling Fake Forgetting through Uncertainty Quantification
by: Shi, Yingdan, et al.
Published: (2025)
by: Shi, Yingdan, et al.
Published: (2025)
Similar Items
-
Fast and Adaptive Questionnaires for Voting Advice Applications
by: Bachmann, Fynn, et al.
Published: (2024) -
D-RDW: Diversity-Driven Random Walks for News Recommender Systems
by: Li, Runze, et al.
Published: (2025) -
Informfully Recommenders -- Reproducibility Framework for Diversity-aware Intra-session Recommendations
by: Heitz, Lucien, et al.
Published: (2025) -
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance
by: Vasu, Rosni, et al.
Published: (2025) -
HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation
by: Vasu, Rosni, et al.
Published: (2025)