:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Carrasco-Farre, Carlos
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2404.09329
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large language models show fragile cognitive reasoning about human emotions
by: Bhattacharyya, Sree, et al.
Published: (2025)

AI shares emotion with humans across languages and cultures
by: Wu, Xiuwen, et al.
Published: (2025)

Quantification and object perception in Multimodal Large Language Models and human linguistic cognition
by: Montero, Raquel, et al.
Published: (2025)

Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts
by: Aldahoul, Nouar, et al.
Published: (2025)

Evidence of a log scaling law for political persuasion with large language models
by: Hackenburg, Kobi, et al.
Published: (2024)

A closer look at how large language models trust humans: patterns and biases
by: Lerman, Valeria, et al.
Published: (2025)

Augmenting emotion features in irony detection with Large language modeling
by: Lin, Yucheng, et al.
Published: (2024)

Large-scale moral machine experiment on large language models
by: Ahmad, Muhammad Shahrul Zaim bin, et al.
Published: (2024)

Efficient argument classification with compact language models and ChatGPT-4 refinements
by: Pietron, Marcin, et al.
Published: (2024)

Challenges and opportunities in portraying emotion in generated sign language
by: McDonald, John C., et al.
Published: (2025)

Exploring and steering the moral compass of Large Language Models
by: Tlaie, Alejandro
Published: (2024)

Outraged AI: Large language models prioritise emotion over cost in fairness enforcement
by: Liu, Hao, et al.
Published: (2025)

Assessing how hyperparameters impact Large Language Models' sarcasm detection performance
by: Gole, Montgomery, et al.
Published: (2025)

Language models emulate certain cognitive profiles: An investigation of how predictability measures interact with individual differences
by: Haller, Patrick, et al.
Published: (2024)

Do large language models resemble humans in language use?
by: Cai, Zhenguang G., et al.
Published: (2023)

Studies with impossible languages falsify LMs as models of human language
by: Bowers, Jeffrey S., et al.
Published: (2025)

Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves
by: Qin, Wenjuan, et al.
Published: (2025)

Still "Talking About Large Language Models": Some Clarifications
by: Shanahan, Murray
Published: (2024)

Zero-Shot Decision Tree Construction via Large Language Models
by: Carrasco, Lucas, et al.
Published: (2025)

Adapting Biomedical Abstracts into Plain language using Large Language Models
by: Gangavarapu, Haritha, et al.
Published: (2025)

Addressing cognitive bias in medical language models
by: Schmidgall, Samuel, et al.
Published: (2024)

When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour
by: Ranaldi, Leonardo, et al.
Published: (2023)

Speed and Conversational Large Language Models: Not All Is About Tokens per Second
by: Conde, Javier, et al.
Published: (2025)

Multilingual large language models leak human stereotypes across language boundaries
by: Cao, Yang Trista, et al.
Published: (2023)

Maximizing the persuasiveness of a salesperson: An exploratory study of the effects of nonverbal immediacy and language power on the extent of persuasion
by: Natavan M. Gadzhiyeva
Published: (2017)

How important is language for human-like intelligence?
by: Lupyan, Gary, et al.
Published: (2025)

Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training
by: Pieler, Michael, et al.
Published: (2024)

Large Language Model probabilities cannot distinguish between possible and impossible language
by: Leivada, Evelina, et al.
Published: (2025)

Helpful assistant or fruitful facilitator? Investigating how personas affect language model behavior
by: de Araujo, Pedro Henrique Luz, et al.
Published: (2024)

A survey of diversity quantification in natural language processing: The why, what, where and how
by: Estève, Louis, et al.
Published: (2025)

Language Models Fail to Introspect About Their Knowledge of Language
by: Song, Siyuan, et al.
Published: (2025)

It's All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models
by: Santini, Cristian, et al.
Published: (2026)

Can Large Language Models Understand, Reason About, and Generate Code-Switched Text?
by: Winata, Genta Indra, et al.
Published: (2026)

AKReF: An argumentative knowledge representation framework for structured argumentation
by: Bhattacharjee, Debarati, et al.
Published: (2025)

Aligning language models with human preferences
by: Korbak, Tomasz
Published: (2024)

TrustLLM: Trustworthiness in Large Language Models
by: Huang, Yue, et al.
Published: (2024)

What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
by: Noels, Sander, et al.
Published: (2025)

FiLLM -- A Filipino-optimized Large Language Model based on Southeast Asia Large Language Model (SEALLM)
by: Maminta, Carlos Jude G., et al.
Published: (2025)

What do Large Language Models Say About Animals? Investigating Risks of Animal Harm in Generated Text
by: Kanepajs, Arturs, et al.
Published: (2025)

Are they human? Detecting large language models by probing human memory constraints
by: Schug, Simon, et al.
Published: (2026)