Cover Image

Managing Escalation in Off-the-Shelf Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Elbaum, Sebastian, Panter, Jonathan
Format:	Preprint
Published:	2025
Subjects:	Emerging Technologies Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Agentic Reinforcement Learning In Large Language Models
by: Cui, Fangming, et al.
Published: (2026)

Benchmark for Planning and Control with Large Language Model Agents: Blocksworld with Model Context Protocol
by: Jobs, Niklas, et al.
Published: (2025)

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction
by: Liu, Chengjie, et al.
Published: (2025)

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet)
by: Machot, Fadi Al, et al.
Published: (2024)

Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles
by: Lu, Qiujing, et al.
Published: (2024)

Artificial Agency and Large Language Models
by: van Lier, Maud, et al.
Published: (2024)

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models
by: Zhou, Zhiyuan, et al.
Published: (2024)

Are Large Language Models Reliable Argument Quality Annotators?
by: Mirzakhmedova, Nailia, et al.
Published: (2024)

Can Large Language Models Act as Symbolic Reasoners?
by: Sullivan, Rob, et al.
Published: (2024)

Mind the Gap: How Elicitation Protocols Shape the Stated-Revealed Preference Gap in Language Models
by: Mahajan, Pranav, et al.
Published: (2026)

Automatic Qiskit Code Refactoring Using Large Language Models
by: Suárez, José Manuel, et al.
Published: (2025)

Iterative Prompting with Persuasion Skills in Jailbreaking Large Language Models
by: Ke, Shih-Wen, et al.
Published: (2025)

CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis
by: Vijayaraghavan, Prashanth, et al.
Published: (2024)

Circuit Partitioning Using Large Language Models for Quantum Compilation and Simulations
by: Sinha, Pranav, et al.
Published: (2025)

SpecPylot: Python Specification Generation using Large Language Models
by: Ayon, Ragib Shahariar, et al.
Published: (2026)

Predictive Coding and Information Bottleneck for Hallucination Detection in Large Language Models
by: Bhatt, Manish
Published: (2026)

A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health
by: Marrapese, Alexander, et al.
Published: (2024)

LLM4DS: Evaluating Large Language Models for Data Science Code Generation
by: Nascimento, Nathalia, et al.
Published: (2024)

KVNAND: Efficient On-Device Large Language Model Inference Using DRAM-Free In-Flash Computing
by: Deng, Lishuo, et al.
Published: (2025)

VR-GPT: Visual Language Model for Intelligent Virtual Reality Applications
by: Konenkov, Mikhail, et al.
Published: (2024)

The Maximum Coverage Model and Recommendation System for UAV Vertiports Location Planning
by: Hua, Chunliang, et al.
Published: (2025)

The Hidden Risks of LLM-Generated Web Application Code: A Security-Centric Evaluation of Code Generation Capabilities in Large Language Models
by: Dora, Swaroop, et al.
Published: (2025)

Enhancing Software Quality Assurance with an Adaptive Differential Evolution based Quantum Variational Autoencoder-Transformer Model
by: Barma, Seshu Babu, et al.
Published: (2025)

Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment
by: Adorni, Giorgia, et al.
Published: (2024)

mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol
by: Rose, Peter W., et al.
Published: (2026)

Hierarchical Molecular Language Models (HMLMs)
by: Hays, Hasi, et al.
Published: (2025)

Relational Norms for Human-AI Cooperation
by: Earp, Brian D., et al.
Published: (2025)

SoK: Prompt Hacking of Large Language Models
by: Rababah, Baha, et al.
Published: (2024)

The global consensus on the risk management of autonomous driving
by: Krügel, Sebastian, et al.
Published: (2025)

Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models
by: Leroux, Nathan, et al.
Published: (2024)

LLMs meet Federated Learning for Scalable and Secure IoT Management
by: Otoum, Yazan, et al.
Published: (2025)

LIDSA: Cognitive Arbitration for Signal-Free Autonomous Intersection Management
by: Lakas, Abderrahmane, et al.
Published: (2026)

Cognitive maps are generative programs
by: Kryven, Marta, et al.
Published: (2025)

Optimizing Package Delivery with Quantum Annealers: Addressing Time-Windows and Simultaneous Pickup and Delivery
by: Osaba, Eneko, et al.
Published: (2025)

Towards Personalized Explanations for Health Simulations: A Mixed-Methods Framework for Stakeholder-Centric Summarization
by: Giabbanelli, Philippe J., et al.
Published: (2025)

An Approach to Checking Correctness for Agentic Systems
by: Sheffler, Thomas J
Published: (2025)

OpenMENA: An Open-Source Memristor Interfacing and Compute Board for Neuromorphic Edge-AI Applications
by: Safa, Ali, et al.
Published: (2025)

LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning
by: Li, Naiyi, et al.
Published: (2025)

Harnessing AI Agents to Advance Research on Refugee Child Mental Health
by: Shrivastava, Aditya, et al.
Published: (2025)

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
by: Zaidan, Martha Arbayani, et al.
Published: (2025)