Cover Image

Language models align with brain regions that represent concepts across modalities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ryskina, Maria, Tuckute, Greta, Fung, Alexander, Malkin, Ashley, Fedorenko, Evelina
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Different types of syntactic agreement recruit the same units within large language models
by: Kryvosheieva, Daria, et al.
Published: (2025)

Representing Speech Through Autoregressive Prediction of Cochlear Tokens
by: Tuckute, Greta, et al.
Published: (2025)

Topoformer: brain-like topographic organization in Transformer language models through spatial querying and reweighting
by: Binhuraib, Taha, et al.
Published: (2025)

Modeling the language cortex with form-independent and enriched representations of sentence meaning reveals remarkable semantic abstractness
by: Saha, Shreya, et al.
Published: (2025)

Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling
by: Zhuang, Chengxu, et al.
Published: (2024)

Representational Curvature Modulates Behavioral Uncertainty in Large Language Models
by: King, Jack, et al.
Published: (2026)

Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
by: Zhuang, Chengxu, et al.
Published: (2023)

The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units
by: AlKhamissi, Badr, et al.
Published: (2024)

Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network
by: AlKhamissi, Badr, et al.
Published: (2024)

What does it mean to understand language?
by: Casto, Colton, et al.
Published: (2025)

From Language to Cognition: How LLMs Outgrow the Human Language Network
by: AlKhamissi, Badr, et al.
Published: (2025)

Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models
by: Kauf, Carina, et al.
Published: (2024)

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

Lightweight Latent Reasoning for Narrative Tasks
by: Gurung, Alexander, et al.
Published: (2025)

How to optimize neuroscience data utilization and experiment design for advancing brain models of visual and linguistic cognition?
by: Tuckute, Greta, et al.
Published: (2024)

Language models and brains align due to more than next-word prediction and word-level information
by: Merlin, Gabriele, et al.
Published: (2022)

Model Connectomes: A Generational Approach to Data-Efficient Language Models
by: Kotar, Klemen, et al.
Published: (2025)

Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models
by: Ivanova, Anna A., et al.
Published: (2024)

Language in Vivo vs. in Silico: Size Matters but Larger Language Models Still Do Not Comprehend Language on a Par with Humans Due to Impenetrable Semantic Reference
by: Dentella, Vittoria, et al.
Published: (2024)

The time scale of redundancy between prosody and linguistic context
by: Regev, Tamar I., et al.
Published: (2025)

Cross-lingual robustness of LLM-brain alignment and its computational roots
by: Yang, Ni, et al.
Published: (2026)

SCORE: Systematic COnsistency and Robustness Evaluation for Large Language Models
by: Nalbandyan, Grigor, et al.
Published: (2025)

From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media
by: Ryskina, Maria, et al.
Published: (2026)

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

Multi-modal brain encoding models for multi-modal stimuli
by: Oota, Subba Reddy, et al.
Published: (2025)

The in-context inductive biases of vision-language models differ across modalities
by: Allen, Kelsey, et al.
Published: (2025)

Educational Personalized Learning Path Planning with Large Language Models
by: Ng, Chee, et al.
Published: (2024)

Language models align with human judgments on key grammatical constructions
by: Hu, Jennifer, et al.
Published: (2024)

OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
by: Chen, Lichang, et al.
Published: (2024)

Community size rather than grammatical complexity better predicts Large Language Model accuracy in a novel Wug Test
by: Pantelidou, Nikoleta, et al.
Published: (2025)

Provably Robust Watermarks for Open-Source Language Models
by: Christ, Miranda, et al.
Published: (2024)

Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal Reasoning
by: Ho, Matthew, et al.
Published: (2024)

A Sentence is Worth a Thousand Pictures: Can Large Language Models Understand Hum4n L4ngu4ge and the W0rld behind W0rds?
by: Leivada, Evelina, et al.
Published: (2023)

Coherence in the brain unfolds across separable temporal regimes
by: Staub, Davide, et al.
Published: (2025)

Compositional preference models for aligning LMs
by: Go, Dongyoung, et al.
Published: (2023)

A polar coordinate system represents syntax in large language models
by: Diego-Simón, Pablo, et al.
Published: (2024)

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

Deep learning models for representing out-of-vocabulary words
by: Lochter, Johannes V., et al.
Published: (2020)

High-Dimensional Interlingual Representations of Large Language Models
by: Wilie, Bryan, et al.
Published: (2025)

Tracing the ongoing emergence of human-like reasoning in Large Language Models
by: Morosi, Paolo, et al.
Published: (2026)