:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Ju, Da, Williams, Adina, Karrer, Brian, Nickel, Maximilian
Format:	Preprint
Published:	2024
Subjects:	Computers and Society
Online Access:	https://arxiv.org/abs/2412.05093
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Geographic Inclusion in the Evaluation of Text-to-Image Models
by: Hall, Melissa, et al.
Published: (2024)

Task-Dependent Evaluation of LLM Output Homogenization: A Taxonomy-Guided Framework
by: Jain, Shomik, et al.
Published: (2025)

Bilingual Bias in Large Language Models: A Taiwan Sovereignty Benchmark Study
by: Ko, Ju-Chun
Published: (2026)

Are Female Carpenters like Blue Bananas? A Corpus Investigation of Occupation Gender Typicality
by: Ju, Da, et al.
Published: (2024)

Domain Regeneration: How well do LLMs match syntactic properties of text domains?
by: Ju, Da, et al.
Published: (2025)

Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits
by: Krishnamurthy, Ramakrishnan, et al.
Published: (2026)

Small Models Achieve Large Language Model Performance: Evaluating Reasoning-Enabled AI for Secure Child Welfare Research
by: Qi, Zia, et al.
Published: (2025)

STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions
by: Morabito, Robert, et al.
Published: (2024)

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

Leveraging Knowledge Graphs and Large Language Models to Track and Analyze Learning Trajectories
by: Chen, Yu-Hxiang, et al.
Published: (2025)

Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models
by: Banerjee, Somnath, et al.
Published: (2024)

Extrinsic Evaluation of Cultural Competence in Large Language Models
by: Bhatt, Shaily, et al.
Published: (2024)

Evaluating Proactive Risk Awareness of Large Language Models
by: Luo, Xuan, et al.
Published: (2026)

QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models
by: Kreutner, Maximilian, et al.
Published: (2025)

Large Language Models as symbolic DNA of cultural dynamics
by: Pourdavood, Parham, et al.
Published: (2025)

Are Language Models Sensitive to Morally Irrelevant Distractors?
by: Shaw, Andrew, et al.
Published: (2026)

Evaluating Large Language Models for Detecting Antisemitism
by: Patel, Jay, et al.
Published: (2025)

Evaluating Psychological Safety of Large Language Models
by: Li, Xingxuan, et al.
Published: (2022)

Self-Blinding and Counterfactual Self-Simulation Mitigate Biases and Sycophancy in Large Language Models
by: Christian, Brian, et al.
Published: (2026)

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

Speciesism in AI: Evaluating Discrimination Against Animals in Large Language Models
by: Jotautaitė, Monika, et al.
Published: (2025)

Evaluating open-source Large Language Models for automated fact-checking
by: Fontana, Nicolo', et al.
Published: (2025)

Fitting the Message to the Moment: Designing Calendar-Aware Stress Messaging with Large Language Models
by: Rao, Pranav, et al.
Published: (2025)

Large Language Models as Partners in Student Essay Evaluation
by: Ishida, Toru, et al.
Published: (2024)

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI
by: Herrera, Francisco
Published: (2025)

GreedLlama: Performance of Financial Value-Aligned Large Language Models in Moral Reasoning
by: Yu, Jeffy, et al.
Published: (2024)

DeliberationBench: A Normative Benchmark for the Influence of Large Language Models on Users' Views
by: Hewitt, Luke, et al.
Published: (2026)

Evaluating Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards
by: Liu, Geng, et al.
Published: (2025)

Ethical Risks in Deploying Large Language Models: An Evaluation of Medical Ethics Jailbreaking
by: Huang, Chutian, et al.
Published: (2026)

Leveraging Large Language Models for Actionable Course Evaluation Student Feedback to Lecturers
by: Zhang, Mike, et al.
Published: (2024)

Cancer-Myth: Evaluating Large Language Models on Patient Questions with False Presuppositions
by: Zhu, Wang Bill, et al.
Published: (2025)

Not All Jokes Land: Evaluating Large Language Models Understanding of Workplace Humor
by: Shafiei, Mohammadamin, et al.
Published: (2025)

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

Understanding and Evaluating Trust in Generative AI and Large Language Models for Spreadsheets
by: Thorne, Simon
Published: (2024)

An Exploration of Higher Education Course Evaluation by Large Language Models
by: Yuan, Bo, et al.
Published: (2024)

Authorship Without Writing: Large Language Models and the Senior Author Analogy
by: Hurshman, Clint, et al.
Published: (2025)

How Large Language Models play humans in online conversations: a simulated study of the 2016 US politics on Reddit
by: Cirulli, Daniele, et al.
Published: (2025)

Evidence of conceptual mastery in the application of rules by Large Language Models
by: Nunes, José Luiz, et al.
Published: (2025)

Development of Application-Specific Large Language Models to Facilitate Research Ethics Review
by: Mann, Sebastian Porsdam, et al.
Published: (2025)

Evaluation of Bias Towards Medical Professionals in Large Language Models
by: Chen, Xi, et al.
Published: (2024)