Cover Image

Existential Conversations with Large Language Models: Content, Community, and Culture

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shanahan, Murray, Singler, Beth
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Still "Talking About Large Language Models": Some Clarifications
by: Shanahan, Murray
Published: (2024)

Is Power-Seeking AI an Existential Risk?
by: Carlsmith, Joseph
Published: (2022)

Two Types of AI Existential Risk: Decisive and Accumulative
by: Kasirzadeh, Atoosa
Published: (2024)

A Taxonomy of Stereotype Content in Large Language Models
by: Nicolas, Gandalf, et al.
Published: (2024)

Evaluating Large Language Models for Fair and Reliable Organ Allocation
by: Kim, Brian Hyeongseok, et al.
Published: (2025)

Defining and Evaluating Physical Safety for Large Language Models
by: Tang, Yung-Chen, et al.
Published: (2024)

Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?
by: Jinnai, Yuu
Published: (2024)

Participatory Assessment of Large Language Model Applications in an Academic Medical Center
by: Carra, Giorgia, et al.
Published: (2024)

Leveraging Large Language Models for Tacit Knowledge Discovery in Organizational Contexts
by: Zuin, Gianlucca, et al.
Published: (2025)

Harnessing Large Language Models for Mental Health: Opportunities, Challenges, and Ethical Considerations
by: Pandey, Hari Mohan
Published: (2024)

Hypothesis Generation with Large Language Models
by: Zhou, Yangqiaoyu, et al.
Published: (2024)

Large Language Models are Geographically Biased
by: Manvi, Rohin, et al.
Published: (2024)

The LLM Has Left The Chat: Evidence of Bail Preferences in Large Language Models
by: Ensign, Danielle, et al.
Published: (2025)

Mechanistic Interpretability with SAEs: Probing Religion, Violence, and Geography in Large Language Models
by: Simbeck, Katharina, et al.
Published: (2025)

Correlated Errors in Large Language Models
by: Kim, Elliot, et al.
Published: (2025)

Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data
by: Nolte, Henrik, et al.
Published: (2025)

Psychological Counseling Ability of Large Language Models
by: Peng, Fangyu, et al.
Published: (2025)

Assessing Large Language Models on Climate Information
by: Bulian, Jannis, et al.
Published: (2023)

Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?
by: Zakazov, Ivan, et al.
Published: (2024)

Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity
by: Pudasaini, Shushanta, et al.
Published: (2024)

PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach
by: Sehwag, Udari Madhushani, et al.
Published: (2025)

Evaluating Retrieval-Augmented Generation Strategies for Large Language Models in Travel Mode Choice Prediction
by: Xu, Yiming, et al.
Published: (2025)

Transforming Agency. On the mode of existence of Large Language Models
by: Barandiaran, Xabier E., et al.
Published: (2024)

Bias and Fairness in Large Language Models: A Survey
by: Gallegos, Isabel O., et al.
Published: (2023)

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
by: Faiz, Ahmad, et al.
Published: (2023)

ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
by: Heakl, Ahmed, et al.
Published: (2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models
by: Anwar, Usman, et al.
Published: (2024)

Exploring Accuracy-Fairness Trade-off in Large Language Models
by: Zhang, Qingquan, et al.
Published: (2024)

Are Large Language Models Chameleons? An Attempt to Simulate Social Surveys
by: Geng, Mingmeng, et al.
Published: (2024)

Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
by: Song, Kefan, et al.
Published: (2025)

Language over Content: Tracing Cultural Understanding in Multilingual Large Language Models
by: Cho, Seungho, et al.
Published: (2025)

REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
by: Ebrahimi, Sana, et al.
Published: (2024)

A Moral Imperative: The Need for Continual Superalignment of Large Language Models
by: Puthumanaillam, Gokul, et al.
Published: (2024)

Emissions and Performance Trade-off Between Small and Large Language Models
by: Garg, Anandita, et al.
Published: (2025)

On Catastrophic Inheritance of Large Foundation Models
by: Chen, Hao, et al.
Published: (2024)

Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
by: Zhou, Han, et al.
Published: (2024)

What's in a Name? Auditing Large Language Models for Race and Gender Bias
by: Salinas, Alejandro, et al.
Published: (2024)

Large Language Models Assume People are More Rational than We Really are
by: Liu, Ryan, et al.
Published: (2024)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
by: Gallegos, Isabel O., et al.
Published: (2024)

Predicting Learning Performance with Large Language Models: A Study in Adult Literacy
by: Zhang, Liang, et al.
Published: (2024)