LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization
Fuente:
arXiv
Guardado en:
| Autores principales: | Chang, Chih-Yu, Azvar, Milad, Okwudire, Chinedum, Kontar, Raed Al |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Collaborative Contextual Bayesian Optimization
por: Chang, Chih-Yu, et al.
Publicado: (2026)
por: Chang, Chih-Yu, et al.
Publicado: (2026)
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective
por: Kontar, Raed Al
Publicado: (2024)
por: Kontar, Raed Al
Publicado: (2024)
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs
por: Chen, Qiyuan, et al.
Publicado: (2024)
por: Chen, Qiyuan, et al.
Publicado: (2024)
A Collaborative Process Parameter Recommender System for Fleets of Networked Manufacturing Machines -- with Application to 3D Printing
por: Wang, Weishi, et al.
Publicado: (2025)
por: Wang, Weishi, et al.
Publicado: (2025)
Online Learning of Optimal Sequential Testing Policies
por: Chen, Qiyuan, et al.
Publicado: (2025)
por: Chen, Qiyuan, et al.
Publicado: (2025)
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling
por: Yue, Xubo, et al.
Publicado: (2021)
por: Yue, Xubo, et al.
Publicado: (2021)
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes
por: Chung, Seokhyun, et al.
Publicado: (2024)
por: Chung, Seokhyun, et al.
Publicado: (2024)
Personalized PCA: Decoupling Shared and Unique Features
por: Shi, Naichen, et al.
Publicado: (2022)
por: Shi, Naichen, et al.
Publicado: (2022)
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications
por: Ruhe, David, et al.
Publicado: (2019)
por: Ruhe, David, et al.
Publicado: (2019)
The LLM Data Auditor: A Metric-oriented Survey on Quality and Trustworthiness in Evaluating Synthetic Data
por: Zhang, Kaituo, et al.
Publicado: (2026)
por: Zhang, Kaituo, et al.
Publicado: (2026)
Language-Induced Priors for Domain Adaptation
por: Chen, Qiyuan, et al.
Publicado: (2026)
por: Chen, Qiyuan, et al.
Publicado: (2026)
Who Judges the Judge? LLM Jury-on-Demand: Building Trustworthy LLM Evaluation Systems
por: Li, Xiaochuan, et al.
Publicado: (2025)
por: Li, Xiaochuan, et al.
Publicado: (2025)
Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization
por: Chen, Jiangyu, et al.
Publicado: (2026)
por: Chen, Jiangyu, et al.
Publicado: (2026)
Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific Applications
por: Gutierrez, Ricardo Luna, et al.
Publicado: (2026)
por: Gutierrez, Ricardo Luna, et al.
Publicado: (2026)
A federated large language model for long-term time series forecasting
por: Abdel-Sater, Raed, et al.
Publicado: (2024)
por: Abdel-Sater, Raed, et al.
Publicado: (2024)
Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design
por: Yue, Xubo, et al.
Publicado: (2023)
por: Yue, Xubo, et al.
Publicado: (2023)
An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
por: Yang, Hanqing, et al.
Publicado: (2024)
por: Yang, Hanqing, et al.
Publicado: (2024)
Tuning for Trustworthiness -- Balancing Performance and Explanation Consistency in Neural Network Optimization
por: Hinterleitner, Alexander, et al.
Publicado: (2025)
por: Hinterleitner, Alexander, et al.
Publicado: (2025)
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components
por: Shi, Naichen, et al.
Publicado: (2024)
por: Shi, Naichen, et al.
Publicado: (2024)
MASteer: Multi-Agent Adaptive Steer Strategy for End-to-End LLM Trustworthiness Repair
por: Li, Changqing, et al.
Publicado: (2025)
por: Li, Changqing, et al.
Publicado: (2025)
LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls
por: Zhang, Kangning, et al.
Publicado: (2025)
por: Zhang, Kangning, et al.
Publicado: (2025)
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation
por: Chen, Guojin, et al.
Publicado: (2024)
por: Chen, Guojin, et al.
Publicado: (2024)
Robust and Efficient Zeroth-Order LLM Fine-Tuning via Adaptive Bayesian Subspace Optimizer
por: Feng, Jian, et al.
Publicado: (2026)
por: Feng, Jian, et al.
Publicado: (2026)
Explainable Bayesian Optimization
por: Chakraborty, Tanmay, et al.
Publicado: (2024)
por: Chakraborty, Tanmay, et al.
Publicado: (2024)
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
por: Suwandi, Richard Cornelius, et al.
Publicado: (2025)
por: Suwandi, Richard Cornelius, et al.
Publicado: (2025)
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
por: Yin, Yuxuan, et al.
Publicado: (2023)
por: Yin, Yuxuan, et al.
Publicado: (2023)
Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions
por: Rahmati, Milad
Publicado: (2025)
por: Rahmati, Milad
Publicado: (2025)
OPPO: Bayesian Value Recursion for Token-Level Credit Assignment in LLM Reasoning
por: Li, Yu, et al.
Publicado: (2026)
por: Li, Yu, et al.
Publicado: (2026)
Poisson Process for Bayesian Optimization
por: Wang, Xiaoxing, et al.
Publicado: (2024)
por: Wang, Xiaoxing, et al.
Publicado: (2024)
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
por: Chang, Ching, et al.
Publicado: (2025)
por: Chang, Ching, et al.
Publicado: (2025)
Semi-Supervised Anomaly Detection Pipeline for SOZ Localization Using Ictal-Related Chirp
por: Bahador, Nooshin, et al.
Publicado: (2025)
por: Bahador, Nooshin, et al.
Publicado: (2025)
BALAR : A Bayesian Agentic Loop for Active Reasoning
por: Echarghaoui, Aymen, et al.
Publicado: (2026)
por: Echarghaoui, Aymen, et al.
Publicado: (2026)
Trustworthy AI Must Account for Interactions
por: Cresswell, Jesse C.
Publicado: (2025)
por: Cresswell, Jesse C.
Publicado: (2025)
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits
por: Chen, Hao, et al.
Publicado: (2021)
por: Chen, Hao, et al.
Publicado: (2021)
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
por: Kosolwattana, Tanapol, et al.
Publicado: (2024)
por: Kosolwattana, Tanapol, et al.
Publicado: (2024)
Bayesian Concept Bottleneck Models with LLM Priors
por: Feng, Jean, et al.
Publicado: (2024)
por: Feng, Jean, et al.
Publicado: (2024)
OptiRepair: Closed-Loop Diagnosis and Repair of Supply Chain Optimization Models with LLM Agents
por: Ao, Ruicheng, et al.
Publicado: (2026)
por: Ao, Ruicheng, et al.
Publicado: (2026)
Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement
por: Forouzandeh, Saman, et al.
Publicado: (2025)
por: Forouzandeh, Saman, et al.
Publicado: (2025)
SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback
por: Yu, Yaoning, et al.
Publicado: (2025)
por: Yu, Yaoning, et al.
Publicado: (2025)
Inversion-based Latent Bayesian Optimization
por: Chu, Jaewon, et al.
Publicado: (2024)
por: Chu, Jaewon, et al.
Publicado: (2024)
Ejemplares similares
-
Collaborative Contextual Bayesian Optimization
por: Chang, Chih-Yu, et al.
Publicado: (2026) -
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective
por: Kontar, Raed Al
Publicado: (2024) -
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs
por: Chen, Qiyuan, et al.
Publicado: (2024) -
A Collaborative Process Parameter Recommender System for Fleets of Networked Manufacturing Machines -- with Application to 3D Printing
por: Wang, Weishi, et al.
Publicado: (2025) -
Online Learning of Optimal Sequential Testing Policies
por: Chen, Qiyuan, et al.
Publicado: (2025)