Large Language Models for Designing Participatory Budgeting Rules
Fuente:
arXiv
Saved in:
| Main Authors: | Thach, Nguyen, Sha, Xingchen, Chan, Hau |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Language Models for Multi-Facility Location Mechanism Design
by: Thach, Nguyen, et al.
Published: (2025)
by: Thach, Nguyen, et al.
Published: (2025)
RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models
by: Thach, Nguyen, et al.
Published: (2025)
by: Thach, Nguyen, et al.
Published: (2025)
Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach
by: Fairstein, Roy, et al.
Published: (2024)
by: Fairstein, Roy, et al.
Published: (2024)
A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction
by: Thach, Nguyen, et al.
Published: (2024)
by: Thach, Nguyen, et al.
Published: (2024)
Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise
by: Nguyen, Tan-Hau, et al.
Published: (2026)
by: Nguyen, Tan-Hau, et al.
Published: (2026)
Optimal Budgeted Adaptation of Large Language Models
by: Wang, Jing, et al.
Published: (2026)
by: Wang, Jing, et al.
Published: (2026)
Robust Explainer Recommendation for Time Series Classification
by: Nguyen, Thu Trang, et al.
Published: (2023)
by: Nguyen, Thu Trang, et al.
Published: (2023)
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification
by: Serramazza, Davide Italo, et al.
Published: (2024)
by: Serramazza, Davide Italo, et al.
Published: (2024)
Participatory Assessment of Large Language Model Applications in an Academic Medical Center
by: Carra, Giorgia, et al.
Published: (2024)
by: Carra, Giorgia, et al.
Published: (2024)
Design a Metric Robust to Complicated High Dimensional Noise for Efficient Manifold Denoising
by: Wu, Hau-Tieng
Published: (2024)
by: Wu, Hau-Tieng
Published: (2024)
Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models
by: Lin, Junhong, et al.
Published: (2025)
by: Lin, Junhong, et al.
Published: (2025)
Learning Mathematical Rules with Large Language Models
by: Gorceix, Antoine, et al.
Published: (2024)
by: Gorceix, Antoine, et al.
Published: (2024)
Causality by Abstraction: Symbolic Rule Learning in Multivariate Timeseries with Large Language Models
by: Biswas, Preetom, et al.
Published: (2026)
by: Biswas, Preetom, et al.
Published: (2026)
$π^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models
by: Do, Quyet V., et al.
Published: (2026)
by: Do, Quyet V., et al.
Published: (2026)
Budgeted Broadcast: An Activity-Dependent Pruning Rule for Neural Network Efficiency
by: Meirovitch, Yaron, et al.
Published: (2025)
by: Meirovitch, Yaron, et al.
Published: (2025)
Leveraging Large Language Models for Information Verification -- an Engineering Approach
by: Hung, Nguyen Nang, et al.
Published: (2025)
by: Hung, Nguyen Nang, et al.
Published: (2025)
MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model
by: Koebler, Alexander, et al.
Published: (2025)
by: Koebler, Alexander, et al.
Published: (2025)
Capability-Guided Compression: Toward Interpretability-Aware Budget Allocation for Large Language Models
by: Gupta, Rishaank
Published: (2026)
by: Gupta, Rishaank
Published: (2026)
Subgroup Analysis via Model-based Rule Forest
by: Cheng, I-Ling, et al.
Published: (2024)
by: Cheng, I-Ling, et al.
Published: (2024)
Concomitant Group Testing
by: Bui, Thach V., et al.
Published: (2023)
by: Bui, Thach V., et al.
Published: (2023)
Abductive Logical Rule Induction by Bridging Inductive Logic Programming and Multimodal Large Language Models
by: Peng, Yifei, et al.
Published: (2025)
by: Peng, Yifei, et al.
Published: (2025)
Can Large Language Models Generalize Procedures Across Representations?
by: Lin, Fangru, et al.
Published: (2026)
by: Lin, Fangru, et al.
Published: (2026)
Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use
by: Liu, Hanbing, et al.
Published: (2026)
by: Liu, Hanbing, et al.
Published: (2026)
Uncertainty-Guided Checkpoint Selection for Reinforcement Finetuning of Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)
by: Nguyen, Manh, et al.
Published: (2025)
Dependent Randomized Rounding for Budget Constrained Experimental Design
by: Yamin, Khurram, et al.
Published: (2025)
by: Yamin, Khurram, et al.
Published: (2025)
CDR-Agent: Intelligent Selection and Execution of Clinical Decision Rules Using Large Language Model Agents
by: Xiang, Zhen, et al.
Published: (2025)
by: Xiang, Zhen, et al.
Published: (2025)
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
Matrix Completion in Group Testing: Bounds and Simulations
by: Tran, Trung-Khang, et al.
Published: (2025)
by: Tran, Trung-Khang, et al.
Published: (2025)
Neuron-Anchored Rule Extraction for Large Language Models via Contrastive Hierarchical Ablation
by: Sovrano, Francesco, et al.
Published: (2026)
by: Sovrano, Francesco, et al.
Published: (2026)
BRIDGE: Budget-aware Reasoning via Intermediate Distillation with Guided Examples
by: Le, Xuan-An, et al.
Published: (2025)
by: Le, Xuan-An, et al.
Published: (2025)
RN-F: A Novel Approach for Mitigating Contaminated Data in Large Language Models
by: Anh, Le Vu, et al.
Published: (2025)
by: Anh, Le Vu, et al.
Published: (2025)
Generating Realistic Tabular Data with Large Language Models
by: Nguyen, Dang, et al.
Published: (2024)
by: Nguyen, Dang, et al.
Published: (2024)
DP-SelFT: Differentially Private Selective Fine-Tuning for Large Language Models
by: Sha, Haichao, et al.
Published: (2026)
by: Sha, Haichao, et al.
Published: (2026)
Boulder2Vec: Modeling Climber Performances in Professional Bouldering Competitions
by: Baron, Ethan, et al.
Published: (2024)
by: Baron, Ethan, et al.
Published: (2024)
$\varepsilon$-Good Action Identification in Fixed-Budget Monte Carlo Tree Search
by: Li, Yinan, et al.
Published: (2026)
by: Li, Yinan, et al.
Published: (2026)
A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning
by: Wachi, Akifumi, et al.
Published: (2026)
by: Wachi, Akifumi, et al.
Published: (2026)
Multi-Metric Adaptive Experimental Design under Fixed Budget with Validation
by: Zhang, Qining, et al.
Published: (2025)
by: Zhang, Qining, et al.
Published: (2025)
Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)
by: Nguyen, Manh, et al.
Published: (2025)
Discovering Preference Optimization Algorithms with and for Large Language Models
by: Lu, Chris, et al.
Published: (2024)
by: Lu, Chris, et al.
Published: (2024)
EEGAgent: A Unified Framework for Automated EEG Analysis Using Large Language Models
by: Zhao, Sha, et al.
Published: (2025)
by: Zhao, Sha, et al.
Published: (2025)
Similar Items
-
Large Language Models for Multi-Facility Location Mechanism Design
by: Thach, Nguyen, et al.
Published: (2025) -
RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models
by: Thach, Nguyen, et al.
Published: (2025) -
Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach
by: Fairstein, Roy, et al.
Published: (2024) -
A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction
by: Thach, Nguyen, et al.
Published: (2024) -
Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise
by: Nguyen, Tan-Hau, et al.
Published: (2026)