:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lincoln, Nicole, Whitehouse, Nick, Mar, Jaron, Perera, Rivindu
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Computers and Society
Online Access:	https://arxiv.org/abs/2605.05532
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Better Call GPT, Comparing Large Language Models Against Lawyers
by: Martin, Lauren, et al.
Published: (2024)

Better Bill GPT: Comparing Large Language Models against Legal Invoice Reviewers
by: Whitehouse, Nick, et al.
Published: (2025)

Are Large Language Models Good Essay Graders?
by: Kundu, Anindita, et al.
Published: (2024)

Unsupervised Concept Vector Extraction for Bias Control in LLMs
by: Cyberey, Hannah, et al.
Published: (2025)

Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study
by: Ghorbanpour, Faeze, et al.
Published: (2025)

Are Social Sentiments Inherent in LLMs? An Empirical Study on Extraction of Inter-demographic Sentiments
by: Tanaka, Kunitomo, et al.
Published: (2024)

Cultural Value Differences of LLMs: Prompt, Language, and Model Size
by: Zhong, Qishuai, et al.
Published: (2024)

Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective
by: Vladika, Juraj, et al.
Published: (2024)

Dutch Metaphor Extraction from Cancer Patients' Interviews and Forum Data using LLMs and Human in the Loop
by: Han, Lifeng, et al.
Published: (2025)

The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI
by: Schirmer, Miriam, et al.
Published: (2024)

Small but Significant: On the Promise of Small Language Models for Accessible AIED
by: Wei, Yumou, et al.
Published: (2025)

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
by: Hu, Beizhe, et al.
Published: (2023)

Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
by: Hamman, Faisal, et al.
Published: (2025)

A Comparative Evaluation of Structural Topic Models and BERTopic for Short, Open-Ended Survey Responses
by: Jiang, Yan, et al.
Published: (2026)

Investigating Political and Demographic Associations in Large Language Models Through Moral Foundations Theory
by: Smith-Vaniz, Nicole, et al.
Published: (2025)

IDEAlign: Comparing Large Language Models to Human Experts in Open-ended Interpretive Annotations
by: Nam, Hyunji, et al.
Published: (2025)

How Large Language Models (LLMs) Extrapolate: From Guided Missiles to Guided Prompts
by: Cao, Xuenan
Published: (2024)

Advancing Conversational Psychotherapy: Integrating Privacy, Dual-Memory, and Domain Expertise with Large Language Models
by: Zhang, XiuYu, et al.
Published: (2024)

LLM BiasScope: A Real-Time Bias Analysis Platform for Comparative LLM Evaluation
by: Ghosh, Himel, et al.
Published: (2026)

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

The Algorithmic Unconscious: Structural Mechanisms and Implicit Biases in Large Language Models
by: Boisnard, Philippe
Published: (2026)

Leveraging Large Language Models (LLMs) for Traffic Management at Urban Intersections: The Case of Mixed Traffic Scenarios
by: Masri, Sari, et al.
Published: (2024)

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version
by: Pham, Nghiem Thanh, et al.
Published: (2025)

Human vs. Machine: Behavioral Differences Between Expert Humans and Language Models in Wargame Simulations
by: Lamparth, Max, et al.
Published: (2024)

Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts
by: Bizzaro, Pietro Giovanni, et al.
Published: (2024)

What Is The Political Content in LLMs' Pre- and Post-Training Data?
by: Ceron, Tanise, et al.
Published: (2025)

A Domain-Adapted Pipeline for Structured Information Extraction from Police Incident Announcements on Social Media
by: Shen, Mengfan, et al.
Published: (2025)

NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment
by: Karamolegkou, Antonia, et al.
Published: (2025)

Assessing Historical Structural Oppression Worldwide via Rule-Guided Prompting of Large Language Models
by: Chatterjee, Sreejato, et al.
Published: (2025)

PersLLM: A Personified Training Approach for Large Language Models
by: Zeng, Zheni, et al.
Published: (2024)

The Statistical Signature of LLMs
by: Hadad, Ortal, et al.
Published: (2026)

Towards New Benchmark for AI Alignment & Sentiment Analysis in Socially Important Issues: A Comparative Study of Human and LLMs in the Context of AGI
by: Bojic, Ljubisa, et al.
Published: (2025)

Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines
by: Rony, Md Main Uddin, et al.
Published: (2024)

Should LLMs be WEIRD? Exploring WEIRDness and Human Rights in Large Language Models
by: Zhou, Ke, et al.
Published: (2025)

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models
by: Alsagheer, Dana, et al.
Published: (2025)

The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks
by: Møller, Anders Giovanni, et al.
Published: (2023)

Are Models Trained on Indian Legal Data Fair?
by: Girhepuje, Sahil, et al.
Published: (2023)

Quantitative Information Extraction from Humanitarian Documents
by: Liberatore, Daniele, et al.
Published: (2024)

Few-shot Hate Speech Detection Based on the MindSpore Framework
by: Qin, Zhenkai, et al.
Published: (2025)

Missing vs. Unused Knowledge Hypothesis for Language Model Bottlenecks in Patent Understanding
by: Wu, Siyang, et al.
Published: (2025)