Cover Image

Fail Fast, or Ask: Mitigating the Deficiencies of Reasoning LLMs with Human-in-the-Loop Systems Engineering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zellinger, Michael J., Thomson, Matt
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficiently Deploying LLMs with Controlled Risk
by: Zellinger, Michael J., et al.
Published: (2024)

Rational Tuning of LLM Cascades via Probabilistic Modeling
by: Zellinger, Michael J., et al.
Published: (2025)

An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
by: Yang, Hanqing, et al.
Published: (2024)

Integrating LLMs for Explainable Fault Diagnosis in Complex Systems
by: Dave, Akshay J., et al.
Published: (2024)

Economic Evaluation of LLMs
by: Zellinger, Michael J., et al.
Published: (2025)

Generative AI and Process Systems Engineering: The Next Frontier
by: Decardi-Nelson, Benjamin, et al.
Published: (2024)

From Prompt to Protocol: Fast Charging Batteries with Large Language Models
by: Lei, Ge, et al.
Published: (2026)

Stochastic Actor-Critic: Mitigating Overestimation via Temporal Aleatoric Uncertainty
by: Özalp, Uğurcan
Published: (2026)

RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors
by: Dwivedi, Anmol, et al.
Published: (2024)

FlightKooba: A Fast Interpretable FTP Model
by: Lu, Jing, et al.
Published: (2025)

FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction
by: Chirukiri, Varun Teja, et al.
Published: (2025)

MathBode: Measuring the Stability of LLM Reasoning using Frequency Response
by: Wang, Charles L.
Published: (2025)

Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control
by: Skifstad, Julian, et al.
Published: (2026)

Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale
by: Jayawardana, Vindula, et al.
Published: (2024)

Feature Engineering Approach to Building Load Prediction: A Case Study for Commercial Building Chiller Plant Optimization in Tropical Weather
by: Wang, Zhan, et al.
Published: (2025)

Advanced POD-Based Performance Evaluation of Classifiers Applied to Human Driver Lane Changing Prediction
by: Rastin, Zahra, et al.
Published: (2024)

Toward Generalizable Graph Learning for 3D Engineering AI: Explainable Workflows for CAE Mode Shape Classification and CFD Field Prediction
by: Son, Tong Duy, et al.
Published: (2026)

Representation Learning Enhanced Deep Reinforcement Learning for Optimal Operation of Hydrogen-based Multi-Energy Systems
by: Pu, Zhenyu, et al.
Published: (2026)

Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems
by: Rivera, Josue N., et al.
Published: (2024)

Learning System Dynamics without Forgetting
by: Zhang, Xikun, et al.
Published: (2024)

Dynamic Decision Making in Engineering System Design: A Deep Q-Learning Approach
by: Giahi, Ramin, et al.
Published: (2023)

Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks
by: Lützow, Laura, et al.
Published: (2025)

LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
by: Wang, Maonan, et al.
Published: (2024)

Meta-Reinforcement Learning for Building Energy Management System
by: Zhang, Huiliang, et al.
Published: (2022)

A Systems Theoretic Approach to Online Machine Learning
by: Preez, Anli du, et al.
Published: (2024)

Can Transformers Learn Optimal Filtering for Unknown Systems?
by: Balim, Haldun, et al.
Published: (2023)

Physically Plausible Multi-System Trajectory Generation and Symmetry Discovery
by: Liu, Jiayin, et al.
Published: (2025)

Hierarchical Testing with Rabbit Optimization for Industrial Cyber-Physical Systems
by: Hu, Jinwei, et al.
Published: (2025)

Sample-Efficient Diffusion-based Control of Complex Physics Systems
by: Chen, Hongyi, et al.
Published: (2025)

Generative Modeling and Data Augmentation for Power System Production Simulation
by: Xu, Linna, et al.
Published: (2024)

Distributed Risk-Sensitive Safety Filters for Uncertain Discrete-Time Systems
by: Lederer, Armin, et al.
Published: (2025)

Energentic Intelligence: From Self-Sustaining Systems to Enduring Artificial Life
by: Karagoz, Atahan
Published: (2025)

Data Center Cooling System Optimization Using Offline Reinforcement Learning
by: Zhan, Xianyuan, et al.
Published: (2025)

SOLIS: Physics-Informed Learning of Interpretable Neural Surrogates for Nonlinear Systems
by: Mansur, Murat Furkan, et al.
Published: (2026)

ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence
by: Mei, Wenjie, et al.
Published: (2024)

Combining Physics-based and Data-driven Modeling for Building Energy Systems
by: Von Krannichfeldt, Leandro, et al.
Published: (2024)

Adaptive Event-triggered Reinforcement Learning Control for Complex Nonlinear Systems
by: Siddique, Umer, et al.
Published: (2024)

Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning
by: Bekal, Gautham Udayakumar, et al.
Published: (2025)

On the Generalization of Data-Assisted Control in port-Hamiltonian Systems (DAC-pH)
by: Eslami, Mostafa, et al.
Published: (2025)

AI Recommendation Systems for Lane-Changing Using Adherence-Aware Reinforcement Learning
by: Sun, Weihao, et al.
Published: (2025)