Imagen de Portada

Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Andrew, Feng, Xianle, Narang, Siddhant, Peng, Austin, Cai, Tianle, Shah, Raj Sanjay, Varma, Sashank
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
por: Shah, Raj Sanjay, et al.
Publicado: (2025)

Pre-training LLMs using human-like development data corpus
por: Bhardwaj, Khushi, et al.
Publicado: (2023)

Development of Cognitive Intelligence in Pre-trained Language Models
por: Shah, Raj Sanjay, et al.
Publicado: (2024)

How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect
por: Vemuri, Siddhartha K., et al.
Publicado: (2024)

Natural Mitigation of Catastrophic Interference: Continual Learning in Power-Law Learning Environments
por: Gandhi, Atith, et al.
Publicado: (2024)

Human Behavioral Benchmarking: Numeric Magnitude Comparison Effects in Large Language Models
por: Shah, Raj Sanjay, et al.
Publicado: (2023)

A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning
por: Jun, James P, et al.
Publicado: (2025)

When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data Visualizations
por: Lalai, Harsh Nishant, et al.
Publicado: (2026)

Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models
por: Guo, Grace, et al.
Publicado: (2024)

Underutilization of Syntactic Processing by Chinese Learners of English in Comprehending English Sentences, Evidenced from Adapted Garden-Path Ambiguity Experiment
por: Xu, Jiapeng
Publicado: (2024)

Syntactically-guided Information Maintenance in Sentence Comprehension
por: Isono, Shinnosuke, et al.
Publicado: (2026)

Towards a Path Dependent Account of Category Fluency
por: Heineman, David, et al.
Publicado: (2024)

Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning
por: Lian, Xin, et al.
Publicado: (2024)

The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities
por: Lalai, Harsh Nishant, et al.
Publicado: (2025)

Understanding the Countably Infinite: Neural Network Models of the Successor Function and its Acquisition
por: Gupta, Vima, et al.
Publicado: (2023)

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts
por: Wang, Zekun, et al.
Publicado: (2025)

Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans
por: Wang, Zekun, et al.
Publicado: (2025)

SER-Diff: Synthetic Error Replay Diffusion for Incremental Brain Tumor Segmentation
por: Makanaboyina, Sashank
Publicado: (2025)

Algorithmic Consequences of Particle Filters for Sentence Processing: Amplified Garden-Paths and Digging-In Effects
por: Maina-Kilaas, Amani, et al.
Publicado: (2026)

Modeling Understanding of Story-Based Analogies Using Large Language Models
por: Inani, Kalit, et al.
Publicado: (2025)

Neural Evidence for Syntactic Unification in Second Language Sentence Comprehension: A Time‐Frequency Analysis
por: Yoonsang Song, et al.
Publicado: (2024)

Safe Semantics, Unsafe Interpretations: Tackling Implicit Reasoning Safety in Large Vision-Language Models
por: Cai, Wei, et al.
Publicado: (2025)

Neurocomputational Mechanisms of Syntactic Transfer in Bilingual Sentence Production
por: Uluslu, Ahmet Yavuz, et al.
Publicado: (2026)

The Representational Geometry of Number
por: Hu, Zhimin, et al.
Publicado: (2026)

Are More Tokens Rational? Inference-Time Scaling in Language Models as Adaptive Resource Rationality
por: Hu, Zhimin, et al.
Publicado: (2026)

From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models
por: Lalai, Harsh Nishant, et al.
Publicado: (2024)

Deep Learning-Based MR Image Re-parameterization
por: Narang, Abhijeet, et al.
Publicado: (2022)

Designing Contextual Part-of-Speech Tagger for Garden-path Sentences
por: Mohapatra, Rudranarayan, et al.
Publicado: (2014)

Comateformer: Combined Attention Transformer for Semantic Sentence Matching
por: Li, Bo, et al.
Publicado: (2024)

Metaverse E‐Commerce: Path From Hype to Reality
por: Kirti Sood, et al.
Publicado: (2025)

A Working Memory Model of Sentence Processing as Binding Morphemes to Syntactic Positions
por: Maayan Keshev, et al.
Publicado: (2024)

Goodman's Extensional Isomorphism and Syntactical Interpretations
por: Marek POLASKI
Publicado: (2009)

Evaluating Semantic and Syntactic Understanding in Large Language Models for Payroll Systems
por: Maclean, Hendrika, et al.
Publicado: (2026)

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models
por: He, Tao, et al.
Publicado: (2025)

The Garden of Forking Paths: Observing Dynamic Parameters Distribution in Large Language Models
por: Nicolini, Carlo, et al.
Publicado: (2024)

On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models
por: Verma, Mudit, et al.
Publicado: (2024)

Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models
por: Shu, Dong, et al.
Publicado: (2024)

Simple Data Transformations for Mitigating the Syntactic Similarity to Improve Sentence Embeddings at Supervised Contrastive Learning
por: Minji Kim, et al.
Publicado: (2024)

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
por: Loula, João, et al.
Publicado: (2025)

Mapping Semantic & Syntactic Relationships with Geometric Rotation
por: Freenor, Michael, et al.
Publicado: (2025)