:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wührl, Amelie, Ruckdeschel, Mattes, Lo, Kyle, Rogers, Anna
Format:	Preprint
Published:	2026
Subjects:	Computers and Society
Online Access:	https://arxiv.org/abs/2602.10995
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning
by: Rieger, Jonas, et al.
Published: (2024)

flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
by: Willer, Maximilian, et al.
Published: (2025)

Towards Expectation Detection in Language: A Case Study on Treatment Expectations in Reddit
by: Velutharambath, Aswathy, et al.
Published: (2026)

Research Community Perspectives on "Intelligence" and Large Language Models
by: Højer, Bertram, et al.
Published: (2025)

Self-Adaptive Paraphrasing and Preference Learning for Improved Claim Verifiability
by: Wührl, Amelie, et al.
Published: (2024)

Indian-BhED: A Dataset for Measuring India-Centric Biases in Large Language Models
by: Khandelwal, Khyati, et al.
Published: (2023)

The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors
by: Lucy, Li, et al.
Published: (2026)

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

Evaluation Awareness in Language Models Has Limited Effect on Behaviour
by: Knecht, Amelie, et al.
Published: (2026)

Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based Deception
by: Velutharambath, Aswathy, et al.
Published: (2024)

How Entangled is Factuality and Deception in German?
by: Velutharambath, Aswathy, et al.
Published: (2024)

Human-Data Interaction Framework: A Comprehensive Model for a Future Driven by Data and Humans
by: Durango, Ivan, et al.
Published: (2024)

Human-Centric NLP or AI-Centric Illusion?: A Critical Investigation
by: Spencer, Piyapath T
Published: (2024)

The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detection
by: Nandi, Arghodeep, et al.
Published: (2025)

Quantifying Gender Bias in Large Language Models: When ChatGPT Becomes a Hiring Manager
by: Gerszberg, Nina, et al.
Published: (2026)

Human Simulacra: Benchmarking the Personification of Large Language Models
by: Xie, Qiuejie, et al.
Published: (2024)

GoCoMA: Hyperbolic Multimodal Representation Fusion for Large Language Model-Generated Code Attribution
by: Choudhury, Nitin, et al.
Published: (2026)

Irresponsible Counselors: Large Language Models and the Loneliness of Modern Humans
by: Bertina, Abas, et al.
Published: (2026)

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

Six Fallacies in Substituting Large Language Models for Human Participants
by: Lin, Zhicheng
Published: (2024)

MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data
by: Saxena, Vageesh, et al.
Published: (2024)

Leveraging Large Language Models for Predictive Analysis of Human Misery
by: Seal, Bishanka, et al.
Published: (2025)

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

Data-Centric Safety and Ethical Measures for Data and AI Governance
by: Chakraborty, Srija
Published: (2025)

A Human-Centric Approach to Explainable AI for Personalized Education
by: Swamy, Vinitra
Published: (2025)

The Human Condition as Reflected in Contemporary Large Language Models
by: Neuman, W. Russell
Published: (2026)

Human-Centric eXplainable AI in Education
by: Maity, Subhankar, et al.
Published: (2024)

Customizing Large Language Models for Business Context: Framework and Experiments
by: Wang, Wen, et al.
Published: (2023)

Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment
by: Borchers, Conrad, et al.
Published: (2025)

A Graph-Based Model for Vehicle-Centric Data Sharing Ecosystem
by: Yuan, Haiyue, et al.
Published: (2024)

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

Closing the Gap: Data-Centric Fine-Tuning of Vision Language Models for the Standardized Exam Questions
by: Sert, Egemen, et al.
Published: (2025)

Large Language Models in Architecture Studio: A Framework for Learning Outcomes
by: Rodriguez, Juan David Salazar, et al.
Published: (2025)

Comparing Rationality Between Large Language Models and Humans: Insights and Open Questions
by: Alsagheer, Dana, et al.
Published: (2024)

Nicer Than Humans: How do Large Language Models Behave in the Prisoner's Dilemma?
by: Fontana, Nicoló, et al.
Published: (2024)

Data-Centric AI Governance: Addressing the Limitations of Model-Focused Policies
by: Gupta, Ritwik, et al.
Published: (2024)

Strategic Insights in Human and Large Language Model Tactics at Word Guessing Games
by: Rikters, Matīss, et al.
Published: (2024)

SocialGaze: Improving the Integration of Human Social Norms in Large Language Models
by: Vijjini, Anvesh Rao, et al.
Published: (2024)

Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study
by: Chintakunta, Sai Sanjna, et al.
Published: (2025)

UpBench: A Dynamically Evolving Real-World Labor-Market Agentic Benchmark Framework Built for Human-Centric AI
by: Yi, Darvin, et al.
Published: (2025)