Imagen de Portada

Do language models accommodate their users? A study of linguistic convergence

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Blevins, Terra, Schmalwieser, Susanne, Roth, Benjamin
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Accommodation Goes Both Ways: Studying Linguistic Convergence Between Humans and Language Models
por: Blevins, Terra
Publicado: (2026)

Influence-driven Curriculum Learning for Pre-training on Limited Data
por: Schoenegger, Loris, et al.
Publicado: (2025)

Parameter Alignment Mitigates Catastrophic Forgetting in Multilingual Expert Language Models
por: Ahuja, Sanchit, et al.
Publicado: (2026)

Calibration Is Not Enough: Evaluating Confidence Estimation Under Language Variations
por: Xia, Yuxi, et al.
Publicado: (2026)

Comparing Hallucination Detection Metrics for Multilingual Generation
por: Kang, Haoqiang, et al.
Publicado: (2024)

A conclusive remark on linguistic theorizing and language modeling
por: Chesi, Cristiano
Publicado: (2025)

Large language models and linguistic intentionality
por: Grindrod, Jumbly
Publicado: (2024)

Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE
por: Arzt, Varvara, et al.
Publicado: (2025)

Evaluating Polish linguistic and cultural competency in large language models
por: Dadas, Sławomir, et al.
Publicado: (2025)

Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models
por: Gonen, Hila, et al.
Publicado: (2024)

Demystifying Prompts in Language Models via Perplexity Estimation
por: Gonen, Hila, et al.
Publicado: (2022)

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

Are formal and functional linguistic mechanisms dissociated in language models?
por: Hanna, Michael, et al.
Publicado: (2025)

How desirable is alignment between LLMs and linguistically diverse human users?
por: Knoeferle, Pia, et al.
Publicado: (2025)

Linguini: A benchmark for language-agnostic linguistic reasoning
por: Sánchez, Eduardo, et al.
Publicado: (2024)

A blind spot for large language models: Supradiegetic linguistic information
por: Zimmerman, Julia Witte, et al.
Publicado: (2023)

Targeted Multilingual Adaptation for Low-resource Language Families
por: Downey, C. M., et al.
Publicado: (2024)

MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling
por: Limisiewicz, Tomasz, et al.
Publicado: (2024)

Vocabulary embeddings organize linguistic structure early in language model training
por: Papadimitriou, Isabel, et al.
Publicado: (2025)

Do LLM Self-Explanations Help Users Predict Model Behavior? Evaluating Counterfactual Simulatability with Pragmatic Perturbations
por: Hong, Pingjun, et al.
Publicado: (2026)

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

Assessing the alignment between infants' visual and linguistic experience using multimodal language models
por: Tan, Alvin Wei Ming, et al.
Publicado: (2025)

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models
por: Blevins, Terra, et al.
Publicado: (2024)

Investigating the interaction of linguistic and mathematical reasoning in language models using multilingual number puzzles
por: Bhattacharya, Antara Raaghavi, et al.
Publicado: (2025)

Phonetic accommodation and inhibition in a dynamic neural field model
por: Kirkham, Sam, et al.
Publicado: (2025)

Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models
por: Bhattacharya, Prasanta, et al.
Publicado: (2025)

Why do language models perform worse for morphologically complex languages?
por: Arnett, Catherine, et al.
Publicado: (2024)

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

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

Exploring prompts to elicit memorization in masked language model-based named entity recognition
por: Xia, Yuxi, et al.
Publicado: (2024)

Do language models plan ahead for future tokens?
por: Wu, Wilson, et al.
Publicado: (2024)

Shifting social norms as a driving force for linguistic change: Struggles about language and gender in the German Bundestag
por: Müller-Spitzer, Carolin, et al.
Publicado: (2024)

Phonological distances for linguistic typology and the origin of Indo-European languages
por: Mavridis, Marius, et al.
Publicado: (2026)

Do language models practice what they preach? Examining language ideologies about gendered language reform encoded in LLMs
por: Watson, Julia, et al.
Publicado: (2024)

InkubaLM: A small language model for low-resource African languages
por: Tonja, Atnafu Lambebo, et al.
Publicado: (2024)

Detecting Pretraining Data from Large Language Models
por: Shi, Weijia, et al.
Publicado: (2023)

XLM: A Python package for non-autoregressive language models
por: Patel, Dhruvesh, et al.
Publicado: (2025)

A linguistically-motivated evaluation methodology for unraveling model's abilities in reading comprehension tasks
por: Antoine, Elie, et al.
Publicado: (2025)

Not All Explanations Simulate Equally: Comparing Verbalized Feature Attributions and Self-Generated Rationales
por: Hong, Pingjun, et al.
Publicado: (2026)

PhDGPT: Introducing a psychometric and linguistic dataset about how large language models perceive graduate students and professors in psychology
por: De Duro, Edoardo Sebastiano, et al.
Publicado: (2024)