Imagen de Portada

Dissociating language and thought in large language models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mahowald, Kyle, Ivanova, Anna A., Blank, Idan A., Kanwisher, Nancy, Tenenbaum, Joshua B., Fedorenko, Evelina
Formato:	Preprint
Publicado:	2023
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

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

Code-enabled language models can outperform reasoning models on diverse tasks
por: Zhang, Cedegao E., et al.
Publicado: (2025)

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

What do language models model? Transformers, automata, and the format of thought
por: Klein, Colin
Publicado: (2025)

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

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

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

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

What can large language models do for sustainable food?
por: Thomas, Anna T., et al.
Publicado: (2025)

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

Emergent Introspection in AI is Content-Agnostic
por: Lederman, Harvey, et al.
Publicado: (2026)

The Counterexample Game: Iterated Conceptual Analysis and Repair in Language Models
por: Drucker, Daniel, et al.
Publicado: (2026)

Representation in large language models
por: Yetman, Cameron
Publicado: (2025)

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

Can large language models build causal graphs?
por: Long, Stephanie, et al.
Publicado: (2023)

Response: Emergent analogical reasoning in large language models
por: Hodel, Damian, et al.
Publicado: (2023)

Quantifying non deterministic drift in large language models
por: Nicholson, Claire
Publicado: (2026)

Multi-round jailbreak attack on large language models
por: Zhou, Yihua, et al.
Publicado: (2024)

The 20 questions game to distinguish large language models
por: Richardeau, Gurvan, et al.
Publicado: (2024)

Failure of contextual invariance in large language models
por: Kumar, Sagar, et al.
Publicado: (2026)

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

A systematic review of trial-matching pipelines using large language models
por: Morrison, Braxton A., et al.
Publicado: (2025)

Optimizing watermarks for large language models
por: Wouters, Bram
Publicado: (2023)

Alignment faking in large language models
por: Greenblatt, Ryan, et al.
Publicado: (2024)

Testing AI on language comprehension tasks reveals insensitivity to underlying meaning
por: Dentella, Vittoria, et al.
Publicado: (2023)

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
por: Misra, Kanishka, et al.
Publicado: (2024)

Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
por: Rozner, Josh, et al.
Publicado: (2021)

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

Causal Interventions Reveal Shared Structure Across English Filler-Gap Constructions
por: Boguraev, Sasha, et al.
Publicado: (2025)

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

Streamlining evidence based clinical recommendations with large language models
por: Li, Dubai, et al.
Publicado: (2025)

Correcting misinformation on social media with a large language model
por: Zhou, Xinyi, et al.
Publicado: (2024)

Re-evaluating Theory of Mind evaluation in large language models
por: Hu, Jennifer, et al.
Publicado: (2025)

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

Evaluating large language models in medical applications: a survey
por: Chen, Xiaolan, et al.
Publicado: (2024)

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

MathDivide: Improved mathematical reasoning by large language models
por: Srivastava, Saksham Sahai, et al.
Publicado: (2024)

Just-in-time and distributed task representations in language models
por: Li, Yuxuan, et al.
Publicado: (2025)