Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear
Fuente:
arXiv
Saved in:
| Main Author: | McCoy, R. Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks
by: Hobbs, Claire, et al.
Published: (2026)
by: Hobbs, Claire, et al.
Published: (2026)
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
by: Prabhakar, Akshara, et al.
Published: (2024)
by: Prabhakar, Akshara, et al.
Published: (2024)
Minimization of Boolean Complexity in In-Context Concept Learning
by: Wang, Leroy Z., et al.
Published: (2024)
by: Wang, Leroy Z., et al.
Published: (2024)
Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models
by: Zhang, Liyi, et al.
Published: (2025)
by: Zhang, Liyi, et al.
Published: (2025)
When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1
by: McCoy, R. Thomas, et al.
Published: (2024)
by: McCoy, R. Thomas, et al.
Published: (2024)
Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language Models
by: Liu, Lingyuan, et al.
Published: (2025)
by: Liu, Lingyuan, et al.
Published: (2025)
Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models
by: Han, Simeng, et al.
Published: (2025)
by: Han, Simeng, et al.
Published: (2025)
Levels of Analysis for Large Language Models
by: Ku, Alexander Y., et al.
Published: (2025)
by: Ku, Alexander Y., et al.
Published: (2025)
Using Perspectival Words Is Harder Than Vocabulary Words for Humans and Even More So for Multimodal Language Models
by: Dong, Dota Tianai, et al.
Published: (2025)
by: Dong, Dota Tianai, et al.
Published: (2025)
Do Large Language Models Possess a Theory of Mind? A Comparative Evaluation Using the Strange Stories Paradigm
by: Babarczy, Anna, et al.
Published: (2026)
by: Babarczy, Anna, et al.
Published: (2026)
Large Language Models Assume People are More Rational than We Really are
by: Liu, Ryan, et al.
Published: (2024)
by: Liu, Ryan, et al.
Published: (2024)
Metaphor and Large Language Models: When Surface Features Matter More than Deep Understanding
by: Sanchez-Bayona, Elisa, et al.
Published: (2025)
by: Sanchez-Bayona, Elisa, et al.
Published: (2025)
I am a Strange Dataset: Metalinguistic Tests for Language Models
by: Thrush, Tristan, et al.
Published: (2024)
by: Thrush, Tristan, et al.
Published: (2024)
Understanding Inequality of LLM Fact-Checking over Geographic Regions with Agent and Retrieval models
by: Coelho, Bruno, et al.
Published: (2025)
by: Coelho, Bruno, et al.
Published: (2025)
Global-Liar: Factuality of LLMs over Time and Geographic Regions
by: Mirza, Shujaat, et al.
Published: (2024)
by: Mirza, Shujaat, et al.
Published: (2024)
Evaluating the Usage of African-American Vernacular English in Large Language Models
by: Dunlap, Deja, et al.
Published: (2026)
by: Dunlap, Deja, et al.
Published: (2026)
What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions
by: Zhang, Liyi, et al.
Published: (2024)
by: Zhang, Liyi, et al.
Published: (2024)
GRR-CoCa: Leveraging LLM Mechanisms in Multimodal Model Architectures
by: Patock, Jake R., et al.
Published: (2025)
by: Patock, Jake R., et al.
Published: (2025)
Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think
by: Wang, Xinpeng, et al.
Published: (2024)
by: Wang, Xinpeng, et al.
Published: (2024)
CLEAR: A Comprehensive Linguistic Evaluation of Argument Rewriting by Large Language Models
by: Huber, Thomas, et al.
Published: (2025)
by: Huber, Thomas, et al.
Published: (2025)
Harnessing Linguistic Dissimilarity for Language Generalization on Unseen Low-Resource Varieties
by: Kim, Jinju, et al.
Published: (2026)
by: Kim, Jinju, et al.
Published: (2026)
LIME: Making LLM Data More Efficient with Linguistic Metadata Embeddings
by: Sztwiertnia, Sebastian, et al.
Published: (2025)
by: Sztwiertnia, Sebastian, et al.
Published: (2025)
Inductive Linguistic Reasoning with Large Language Models
by: Ramji, Raghav, et al.
Published: (2024)
by: Ramji, Raghav, et al.
Published: (2024)
Linguistic Structure Induction from Language Models
by: Momen, Omar
Published: (2024)
by: Momen, Omar
Published: (2024)
Linguistic Profiling of a Neural Language Model
by: Miaschi, Alessio, et al.
Published: (2020)
by: Miaschi, Alessio, et al.
Published: (2020)
SLAM: Structural Linguistic Activation Marking for Language Models
by: Harel-Canada, Fabrice, et al.
Published: (2026)
by: Harel-Canada, Fabrice, et al.
Published: (2026)
Are Large Language Models the future crowd workers of Linguistics?
by: Ferrazzo, Iris
Published: (2025)
by: Ferrazzo, Iris
Published: (2025)
Is ChatGPT More Empathetic than Humans?
by: Welivita, Anuradha, et al.
Published: (2024)
by: Welivita, Anuradha, et al.
Published: (2024)
The Structural Sources of Verb Meaning Revisited: Large Language Models Display Syntactic Bootstrapping
by: Zhu, Xiaomeng, et al.
Published: (2025)
by: Zhu, Xiaomeng, et al.
Published: (2025)
Trivial Vocabulary Bans Improve LLM Reasoning More Than Deep Linguistic Constraints
by: Jehu-Appiah, Rodney
Published: (2026)
by: Jehu-Appiah, Rodney
Published: (2026)
Investigating Large Language Models' Linguistic Abilities for Text Preprocessing
by: Braga, Marco, et al.
Published: (2025)
by: Braga, Marco, et al.
Published: (2025)
Detecting Linguistic Indicators for Stereotype Assessment with Large Language Models
by: Görge, Rebekka, et al.
Published: (2025)
by: Görge, Rebekka, et al.
Published: (2025)
Natural Language Processing RELIES on Linguistics
by: Opitz, Juri, et al.
Published: (2024)
by: Opitz, Juri, et al.
Published: (2024)
Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection
by: Trokhymovych, Mykola, et al.
Published: (2025)
by: Trokhymovych, Mykola, et al.
Published: (2025)
Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling
by: Prange, Jakob, et al.
Published: (2021)
by: Prange, Jakob, et al.
Published: (2021)
A NotSo Simple Way to Beat Simple Bench
by: Sane, Soham, et al.
Published: (2024)
by: Sane, Soham, et al.
Published: (2024)
Revisiting Generalization Across Difficulty Levels: It's Not So Easy
by: Kordi, Yeganeh, et al.
Published: (2025)
by: Kordi, Yeganeh, et al.
Published: (2025)
Leveraging Large Language Models to Geolocate Linguistic Variations in Social Media Posts
by: Savarro, Davide, et al.
Published: (2024)
by: Savarro, Davide, et al.
Published: (2024)
Linguistic and Embedding-Based Profiling of Texts generated by Humans and Large Language Models
by: Zanotto, Sergio E., et al.
Published: (2025)
by: Zanotto, Sergio E., et al.
Published: (2025)
Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds
by: Basmov, Victoria, et al.
Published: (2023)
by: Basmov, Victoria, et al.
Published: (2023)
Similar Items
-
Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks
by: Hobbs, Claire, et al.
Published: (2026) -
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
by: Prabhakar, Akshara, et al.
Published: (2024) -
Minimization of Boolean Complexity in In-Context Concept Learning
by: Wang, Leroy Z., et al.
Published: (2024) -
Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models
by: Zhang, Liyi, et al.
Published: (2025) -
When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1
by: McCoy, R. Thomas, et al.
Published: (2024)