Cover Image

Accommodation Goes Both Ways: Studying Linguistic Convergence Between Humans and Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Blevins, Terra
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Do language models accommodate their users? A study of linguistic convergence
by: Blevins, Terra, et al.
Published: (2025)

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

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

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

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

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

A Little Human Data Goes A Long Way
by: Ashok, Dhananjay, et al.
Published: (2024)

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

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

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

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

Mirroring Minds: Asymmetric Linguistic Accommodation and Diagnostic Identity in ADHD and Autism Reddit Communities
by: Mankarious, Saad, et al.
Published: (2026)

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

A Little Confidence Goes a Long Way
by: Scoville, John, et al.
Published: (2024)

Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs
by: Yang, Xiulin, et al.
Published: (2025)

Large Language Models as Proxies for Theories of Human Linguistic Cognition
by: Ziv, Imry, et al.
Published: (2025)

A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts
by: Ge, Suyu, et al.
Published: (2024)

Converging to a Lingua Franca: Evolution of Linguistic Regions and Semantics Alignment in Multilingual Large Language Models
by: Zeng, Hongchuan, et al.
Published: (2024)

Convergent Representations of Linguistic Constructions in Human and Artificial Neural Systems
by: Ramezani, Pegah, et al.
Published: (2026)

Perceptions of Linguistic Uncertainty by Language Models and Humans
by: Belem, Catarina G, et al.
Published: (2024)

A Comparative Approach to Assessing Linguistic Creativity of Large Language Models and Humans
by: Dinu, Anca, et al.
Published: (2025)

Context is Important in Depressive Language: A Study of the Interaction Between the Sentiments and Linguistic Markers in Reddit Discussions
by: Sharma, Neha, et al.
Published: (2024)

A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
by: Rawat, Ankit Singh, et al.
Published: (2024)

A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations
by: Deshpande, Vijeta, et al.
Published: (2025)

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

Human Variability vs. Machine Consistency: A Linguistic Analysis of Texts Generated by Humans and Large Language Models
by: Zanotto, Sergio E., et al.
Published: (2024)

Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages
by: Ghosh, Poulami, et al.
Published: (2024)

Linguistic Loops and Geometric Invariants as a Way to Pre-Verbal Thought?
by: Corradetti, Daniele, et al.
Published: (2025)

Little Red Riding Hood Goes Around the Globe:Crosslingual Story Planning and Generation with Large Language Models
by: Razumovskaia, Evgeniia, et al.
Published: (2022)

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
by: Allal, Loubna Ben, et al.
Published: (2025)

Linguistic and Embedding-Based Profiling of Texts generated by Humans and Large Language Models
by: Zanotto, Sergio E., et al.
Published: (2025)

On Extending Direct Preference Optimization to Accommodate Ties
by: Chen, Jinghong, et al.
Published: (2024)

Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
by: Soni, Nikita, et al.
Published: (2024)

Line Goes Up? Inherent Limitations of Benchmarks for Evaluating Large Language Models
by: Fodor, James
Published: (2025)

Linguistic Intelligence in Large Language Models for Telecommunications
by: Ahmed, Tasnim, et al.
Published: (2024)

Unveiling Linguistic Regions in Large Language Models
by: Zhang, Zhihao, et al.
Published: (2024)

Benchmarking Linguistic Diversity of Large Language Models
by: Guo, Yanzhu, et al.
Published: (2024)

Evaluating the Effectiveness of Linguistic Knowledge in Pretrained Language Models: A Case Study of Universal Dependencies
by: Li, Wenxi
Published: (2025)

Measuring Temporal Linguistic Emergence in Diffusion Language Models
by: Lu, Harry
Published: (2026)