Copertina

Do large language models resemble humans in language use?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cai, Zhenguang G., Duan, Xufeng, Haslett, David A., Wang, Shuqi, Pickering, Martin J.
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
di: Wu, Hanlin, et al.
Pubblicazione: (2025)

MacBehaviour: An R package for behavioural experimentation on large language models
di: Duan, Xufeng, et al.
Pubblicazione: (2024)

Information Loss in LLMs' Multilingual Translation: The Role of Training Data, Language Proximity, and Language Family
di: Lin, Yumeng, et al.
Pubblicazione: (2025)

Speaker effects in language comprehension: An integrative model of language and speaker processing
di: Wu, Hanlin, et al.
Pubblicazione: (2024)

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation
di: Tang, Xuemei, et al.
Pubblicazione: (2026)

Grammaticality Representation in ChatGPT as Compared to Linguists and Laypeople
di: Qiu, Zhuang, et al.
Pubblicazione: (2024)

Large Language Models for Automated Literature Review: An Evaluation of Reference Generation, Abstract Writing, and Review Composition
di: Tang, Xuemei, et al.
Pubblicazione: (2024)

SCALPEL: Selective Capability Ablation via Low-rank Parameter Editing for Large Language Model Interpretability Analysis
di: Fu, Zihao, et al.
Pubblicazione: (2026)

HLB: Benchmarking LLMs' Humanlikeness in Language Use
di: Duan, Xufeng, et al.
Pubblicazione: (2024)

Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability
di: Duan, Xufeng, et al.
Pubblicazione: (2024)

Probabilistic adaptation of language comprehension for individual speakers: evidence from neural oscillations
di: Wu, Hanlin, et al.
Pubblicazione: (2025)

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

Linguistic Minimal Pairs Elicit Linguistic Similarity in Large Language Models
di: Zhou, Xinyu, et al.
Pubblicazione: (2024)

How Syntax Specialization Emerges in Language Models
di: Duan, Xufeng, et al.
Pubblicazione: (2025)

Dissociating language and thought in large language models
di: Mahowald, Kyle, et al.
Pubblicazione: (2023)

Retrieval augmentation of large language models for lay language generation
di: Guo, Yue, et al.
Pubblicazione: (2022)

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

Strong and weak alignment of large language models with human values
di: Khamassi, Mehdi, et al.
Pubblicazione: (2024)

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

Comparing large language models and human programmers for generating programming code
di: Hou, Wenpin, et al.
Pubblicazione: (2024)

Prompting language influences diagnostic reasoning and accuracy of large language models
di: Bazoge, Adrien, et al.
Pubblicazione: (2026)

A survey of textual cyber abuse detection using cutting-edge language models and large language models
di: Diaz-Garcia, Jose A., et al.
Pubblicazione: (2025)

Post-training makes large language models less human-like
di: Binz, Marcel, et al.
Pubblicazione: (2026)

Dynamic data sampler for cross-language transfer learning in large language models
di: Li, Yudong, et al.
Pubblicazione: (2024)

A semantic embedding space based on large language models for modelling human beliefs
di: Lee, Byunghwee, et al.
Pubblicazione: (2024)

Do Chinese models speak Chinese languages?
di: Wen-Yi, Andrea W, et al.
Pubblicazione: (2025)

When AI companions become witty: Can human brain recognize AI-generated irony?
di: Rao, Xiaohui, et al.
Pubblicazione: (2025)

Large language models have learned to use language
di: Lupyan, Gary
Pubblicazione: (2025)

AI-AI Bias: large language models favor communications generated by large language models
di: Laurito, Walter, et al.
Pubblicazione: (2024)

Automated stereotactic radiosurgery planning using a human-in-the-loop reasoning large language model agent
di: Nusrat, Humza, et al.
Pubblicazione: (2025)

Aligning language models with human preferences
di: Korbak, Tomasz
Pubblicazione: (2024)

Representation in large language models
di: Yetman, Cameron
Pubblicazione: (2025)

Prospects for inconsistency detection using large language models and sheaves
di: Huntsman, Steve, et al.
Pubblicazione: (2024)

On the attribution of confidence to large language models
di: Keeling, Geoff, et al.
Pubblicazione: (2024)

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

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

Amortizing intractable inference in large language models
di: Hu, Edward J., et al.
Pubblicazione: (2023)

A review on the use of large language models as virtual tutors
di: García-Méndez, Silvia, et al.
Pubblicazione: (2024)

Disentangling generalization and memorization in large language models using chess
di: Pleiss, Leonard S., et al.
Pubblicazione: (2026)

Uncovering inequalities in new knowledge learning by large language models across different languages
di: Wang, Chenglong, et al.
Pubblicazione: (2025)