Cover Image

Toward Cultural Interpretability: A Linguistic Anthropological Framework for Describing and Evaluating Large Language Models (LLMs)

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jones, Graham M., Satran, Shai, Satyanarayan, Arvind
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Computation and Language Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships
by: Boggust, Angie, et al.
Published: (2024)

The Moral Gap of Large Language Models
by: Skorski, Maciej, et al.
Published: (2025)

Does Writing with Language Models Reduce Content Diversity?
by: Padmakumar, Vishakh, et al.
Published: (2023)

Prediction-Powered Ranking of Large Language Models
by: Chatzi, Ivi, et al.
Published: (2024)

Humanizing LLMs: A Survey of Psychological Measurements with Tools, Datasets, and Human-Agent Applications
by: Dong, Wenhan, et al.
Published: (2025)

Linear Representations of Political Perspective Emerge in Large Language Models
by: Kim, Junsol, et al.
Published: (2025)

Multidimensional Human Activity Recognition With Large Language Model: A Conceptual Framework
by: Hasan, Syed Mhamudul
Published: (2024)

Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users
by: Karamolegkou, Antonia, et al.
Published: (2025)

Can Large Language Models Unlock Novel Scientific Research Ideas?
by: Kumar, Sandeep, et al.
Published: (2024)

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
by: Liang, Weixin
Published: (2025)

Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI
by: Saha, Agnik, et al.
Published: (2025)

Large Language Models Can Infer Personality from Free-Form User Interactions
by: Peters, Heinrich, et al.
Published: (2024)

LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations
by: Ziche, Clara, et al.
Published: (2024)

A Framework for Evaluating LLMs Under Task Indeterminacy
by: Guerdan, Luke, et al.
Published: (2024)

DaKultur: Evaluating the Cultural Awareness of Language Models for Danish with Native Speakers
by: Müller-Eberstein, Max, et al.
Published: (2025)

MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
by: Chiu, Yu Ying, et al.
Published: (2025)

The "Colonial Impulse" of Natural Language Processing: An Audit of Bengali Sentiment Analysis Tools and Their Identity-based Biases
by: Das, Dipto, et al.
Published: (2024)

LLM-based Cognitive Models of Students with Misconceptions
by: Sonkar, Shashank, et al.
Published: (2024)

Evaluating Large Language Models in Theory of Mind Tasks
by: Kosinski, Michal
Published: (2023)

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
by: Si, Chenglei, et al.
Published: (2024)

When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
by: Zheng, Mingqian, et al.
Published: (2023)

Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate
by: Ngueajio, Mikel K., et al.
Published: (2025)

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models
by: Ibrahim, Lujain, et al.
Published: (2025)

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
by: Kıcıman, Emre, et al.
Published: (2023)

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
by: Feng, Kehua, et al.
Published: (2024)

A Systematic Review on the Evaluation of Large Language Models in Theory of Mind Tasks
by: Sarıtaş, Karahan, et al.
Published: (2025)

Implicit Personalization in Language Models: A Systematic Study
by: Jin, Zhijing, et al.
Published: (2024)

Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
by: Greco, Candida M., et al.
Published: (2026)

LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning
by: Wasi, Azmine Toushik, et al.
Published: (2024)

Sociodemographic Prompting is Not Yet an Effective Approach for Simulating Subjective Judgments with LLMs
by: Sun, Huaman, et al.
Published: (2023)

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection
by: Salles, Isadora, et al.
Published: (2024)

Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services
by: Hartmann, David, et al.
Published: (2024)

Attention to Non-Adopters
by: Zhou, Kaitlyn, et al.
Published: (2025)

Activation Steering via Generative Causal Mediation
by: Sankaranarayanan, Aruna, et al.
Published: (2026)

Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework
by: Chatzimparmpas, Angelos, et al.
Published: (2024)

"Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students
by: Agarwal, Vibhor, et al.
Published: (2024)

Signformer is all you need: Towards Edge AI for Sign Language
by: Yang, Eta
Published: (2024)

When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
by: Badawi, Abeer, et al.
Published: (2025)

Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior
by: Ardebili, Ali Aghazadeh, et al.
Published: (2026)

The Moral Machine Experiment on Large Language Models
by: Takemoto, Kazuhiro
Published: (2023)