Cover Image

Safe in the Future, Dangerous in the Past: Dissecting Temporal and Linguistic Vulnerabilities in LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Said, Muhammad Abdullahi, Sani, Muhammad Sammani
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Emotion-Aware Embedding Fusion in LLMs (Flan-T5, LLAMA 2, DeepSeek-R1, and ChatGPT 4) for Intelligent Response Generation
by: Rasool, Abdur, et al.
Published: (2024)

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs)
by: Neumann, Anna, et al.
Published: (2025)

Using LLMs to identify features of personal and professional skills in an open-response situational judgment test
by: Walsh, Cole, et al.
Published: (2025)

Subjective $\textit{Isms}$? On the Danger of Conflating Hate and Offence in Abusive Language Detection
by: Curry, Amanda Cercas, et al.
Published: (2024)

From Rogue to Safe AI: The Role of Explicit Refusals in Aligning LLMs with International Humanitarian Law
by: Mavi, John, et al.
Published: (2025)

Towards Measuring and Modeling "Culture" in LLMs: A Survey
by: Adilazuarda, Muhammad Farid, et al.
Published: (2024)

The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation
by: Munir, Sheza, et al.
Published: (2026)

AnthroScore: A Computational Linguistic Measure of Anthropomorphism
by: Cheng, Myra, et al.
Published: (2024)

Towards Safe Multilingual Frontier AI
by: Kanepajs, Artūrs, et al.
Published: (2024)

Toward Inclusive Educational AI: Auditing Frontier LLMs through a Multiplexity Lens
by: Mushtaq, Abdullah, et al.
Published: (2025)

A Linguistic Comparison between Human and ChatGPT-Generated Conversations
by: Sandler, Morgan, et al.
Published: (2024)

How Persuasive Could LLMs Be? A First Study Combining Linguistic-Rhetorical Analysis and User Experiments
by: Raffini, Daniel, et al.
Published: (2025)

Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation
by: Zugecova, Aneta, et al.
Published: (2024)

A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions
by: Ranjan, Rajesh, et al.
Published: (2024)

From Hard Refusals to Safe-Completions: Toward Output-Centric Safety Training
by: Yuan, Yuan, et al.
Published: (2025)

Applied Sociolinguistic AI for Community Development (ASA-CD): A New Scientific Paradigm for Linguistically-Grounded Social Intervention
by: Alam, S M Ruhul, et al.
Published: (2026)

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants
by: Borges, Beatriz, et al.
Published: (2024)

Assessing the Performance of Human-Capable LLMs -- Are LLMs Coming for Your Job?
by: Mavi, John, et al.
Published: (2024)

The simulation of judgment in LLMs
by: Loru, Edoardo, et al.
Published: (2025)

Measuring Teaching with LLMs
by: Hardy, Michael
Published: (2025)

The Political Preferences of LLMs
by: Rozado, David
Published: (2024)

Why are all LLMs Obsessed with Japanese Culture? On the Hidden Cultural and Regional Biases of LLMs
by: de Landa, Joseba Fernandez, et al.
Published: (2026)

Moral Mazes in the Era of LLMs
by: Nguyen, Dang, et al.
Published: (2026)

SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
by: Wang, Lichao, et al.
Published: (2026)

Are LLMs (Really) Ideological? An IRT-based Analysis and Alignment Tool for Perceived Socio-Economic Bias in LLMs
by: Wachter, Jasmin, et al.
Published: (2025)

Navigating LLM Ethics: Advancements, Challenges, and Future Directions
by: Jiao, Junfeng, et al.
Published: (2024)

Temporal Preferences in Language Models for Long-Horizon Assistance
by: Mazyaki, Ali, et al.
Published: (2025)

Interpretability Framework for LLMs in Undergraduate Calculus
by: Dakshit, Sagnik, et al.
Published: (2025)

UrbanGPT: Spatio-Temporal Large Language Models
by: Li, Zhonghang, et al.
Published: (2024)

Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future
by: Li, Minzhi, et al.
Published: (2024)

MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning
by: Ghosh, Rajarshi, et al.
Published: (2025)

ELEPHANT: Measuring and understanding social sycophancy in LLMs
by: Cheng, Myra, et al.
Published: (2025)

On the Credibility of Evaluating LLMs using Survey Questions
by: Libovický, Jindřich
Published: (2026)

Verbalizing LLMs' assumptions to explain and control sycophancy
by: Cheng, Myra, et al.
Published: (2026)

Misaligned by Reward: Socially Undesirable Preferences in LLMs
by: Ghazaryan, Gayane, et al.
Published: (2026)

EtiCor++: Towards Understanding Etiquettical Bias in LLMs
by: Dwivedi, Ashutosh, et al.
Published: (2025)

EulerESG: Automating ESG Disclosure Analysis with LLMs
by: Ding, Yi, et al.
Published: (2025)

Large Language Models (LLMs) as Agents for Augmented Democracy
by: Gudiño-Rosero, Jairo, et al.
Published: (2024)

Automated Assessment of Students' Code Comprehension using LLMs
by: Oli, Priti, et al.
Published: (2023)

Evaluating the Capabilities of LLMs for Supporting Anticipatory Impact Assessment
by: Allaham, Mowafak, et al.
Published: (2024)