:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autore principale:	Cao, Xuenan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computers and Society Computation and Language
Accesso online:	https://arxiv.org/abs/2501.10361
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scoring of Texts with Large Language Models
di: Wu, Patrick Y., et al.
Pubblicazione: (2023)

Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
di: Xu, Rongwu, et al.
Pubblicazione: (2024)

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

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs)
di: Neumann, Anna, et al.
Pubblicazione: (2025)

Large Language Models as Psychological Simulators: A Methodological Guide
di: Lin, Zhicheng
Pubblicazione: (2025)

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

Analyzing the Safety of Japanese Large Language Models in Stereotype-Triggering Prompts
di: Nakanishi, Akito, et al.
Pubblicazione: (2025)

Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models
di: Das, Souvik, et al.
Pubblicazione: (2024)

How Large Language Models are Designed to Hallucinate
di: Ackermann, Richard, et al.
Pubblicazione: (2025)

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

The Price of Prompting: Profiling Energy Use in Large Language Models Inference
di: Husom, Erik Johannes, et al.
Pubblicazione: (2024)

How Susceptible are Large Language Models to Ideological Manipulation?
di: Chen, Kai, et al.
Pubblicazione: (2024)

Who is Undercover? Guiding LLMs to Explore Multi-Perspective Team Tactic in the Game
di: Dong, Ruiqi, et al.
Pubblicazione: (2024)

On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts
di: Aremu, Toluwani, et al.
Pubblicazione: (2024)

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

Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
di: Abraham, Louis, et al.
Pubblicazione: (2024)

'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
di: Nghiem, Huy, et al.
Pubblicazione: (2025)

Prompt Refinement or Fine-tuning? Best Practices for using LLMs in Computational Social Science Tasks
di: Møller, Anders Giovanni, et al.
Pubblicazione: (2024)

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

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

Gender Trouble in Language Models: An Empirical Audit Guided by Gender Performativity Theory
di: Hafner, Franziska Sofia, et al.
Pubblicazione: (2025)

From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings
di: Rakshit, Aishik, et al.
Pubblicazione: (2024)

Motivation in Large Language Models
di: Nahum, Omer, et al.
Pubblicazione: (2026)

Text Is Not All You Need: Multimodal Prompting Helps LLMs Understand Humor
di: Baluja, Ashwin
Pubblicazione: (2024)

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents
di: Mou, Xinyi, et al.
Pubblicazione: (2024)

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

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest
di: Wu, Addison J., et al.
Pubblicazione: (2026)

Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs?
di: Tzachristas, Ioannis, et al.
Pubblicazione: (2025)

DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models
di: Bae, Suyoung, et al.
Pubblicazione: (2025)

Privacy Policy Analysis through Prompt Engineering for LLMs
di: Goknil, Arda, et al.
Pubblicazione: (2024)

Language of Thought Shapes Output Diversity in Large Language Models
di: Xu, Shaoyang, et al.
Pubblicazione: (2026)

Plurals: A System for Guiding LLMs Via Simulated Social Ensembles
di: Ashkinaze, Joshua, et al.
Pubblicazione: (2024)

Politically Speaking: LLMs on Changing International Affairs
di: Cao, Xuenan, et al.
Pubblicazione: (2025)

Benchmarking Sociolinguistic Diversity in Swahili NLP: A Taxonomy-Guided Approach
di: Oketch, Kezia, et al.
Pubblicazione: (2025)

Investigating Cultural Alignment of Large Language Models
di: AlKhamissi, Badr, et al.
Pubblicazione: (2024)

Multilingual Large Language Models and Curse of Multilinguality
di: Gurgurov, Daniil, et al.
Pubblicazione: (2024)

On Classification with Large Language Models in Cultural Analytics
di: Bamman, David, et al.
Pubblicazione: (2024)

Will Large Language Models Transform Clinical Prediction?
di: Yildiz, Yusuf, et al.
Pubblicazione: (2025)

Large Language Models in the Abuse Detection Pipeline
di: Kath, Suraj, et al.
Pubblicazione: (2026)