Cover Image

Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cheng, Emily, Antonello, Richard J.
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scaling laws for language encoding models in fMRI
by: Antonello, Richard, et al.
Published: (2023)

fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding
by: Wei, Yuxiang, et al.
Published: (2025)

Language Reconstruction with Brain Predictive Coding from fMRI Data
by: Yin, Congchi, et al.
Published: (2024)

Decoding fMRI Data into Captions using Prefix Language Modeling
by: Shen, Vyacheslav, et al.
Published: (2025)

Abstraction Induces the Brain Alignment of Language and Speech Models
by: Cheng, Emily, et al.
Published: (2026)

BrainChat: Decoding Semantic Information from fMRI using Vision-language Pretrained Models
by: Huang, Wanaiu
Published: (2024)

EmoMind: Decoding Affective Captions from Human Brain fMRI
by: Mohammed, Bilal A., et al.
Published: (2026)

fMRI predictors based on language models of increasing complexity recover brain left lateralization
by: Bonnasse-Gahot, Laurent, et al.
Published: (2024)

Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review
by: Xu, Zihan, et al.
Published: (2025)

Fine-tuning language encoding models on slow fMRI improves prediction for fast ECoG
by: Vaidya, Aditya R., et al.
Published: (2026)

Abstraction-of-Thought Makes Language Models Better Reasoners
by: Hong, Ruixin, et al.
Published: (2024)

Evidence of Phase Transitions in Small Transformer-Based Language Models
by: Hong, Noah, et al.
Published: (2025)

AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph
by: Wang, Zhaowei, et al.
Published: (2023)

Knowledge Bases in Support of Large Language Models for Processing Web News
by: Zhang, Yihe, et al.
Published: (2024)

Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
by: Zheng, Huaixiu Steven, et al.
Published: (2023)

Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction
by: Han, Kaiqiao, et al.
Published: (2024)

Alignment Drift in Multimodal LLMs: A Two-Phase, Longitudinal Evaluation of Harm Across Eight Model Releases
by: Ford, Casey, et al.
Published: (2026)

Latent Abstraction for Retrieval-Augmented Generation
by: T, Ha Lan N., et al.
Published: (2026)

Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction
by: Kumar, Sreejan, et al.
Published: (2024)

STELLA: Guiding Large Language Models for Time Series Forecasting with Semantic Abstractions
by: Fan, Junjie, et al.
Published: (2025)

Noosemia: toward a Cognitive and Phenomenological Account of Intentionality Attribution in Human-Generative AI Interaction
by: De Santis, Enrico, et al.
Published: (2025)

BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
by: Li, Jiangmeng, et al.
Published: (2024)

Generative Monoculture in Large Language Models
by: Wu, Fan, et al.
Published: (2024)

Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus
by: Lee, Seungpil, et al.
Published: (2024)

Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
by: McMilin, Emily
Published: (2022)

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
by: Cheng, Xiaoxue, et al.
Published: (2025)

Affective Flow Language Model for Emotional Support Conversation
by: Zou, Chenghui, et al.
Published: (2026)

Evaluating Large Language Models in Crisis Detection: A Real-World Benchmark from Psychological Support Hotlines
by: Deng, Guifeng, et al.
Published: (2025)

Hierarchical Memorization in Large Language Models: Evidence from Citation Generation
by: Niimi, Junichiro
Published: (2025)

Causal Abstraction in Model Interpretability: A Compact Survey
by: Zhang, Yihao
Published: (2024)

Prompting Large Language Models for Supporting the Differential Diagnosis of Anemia
by: Castagnari, Elisa, et al.
Published: (2024)

Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling
by: Qiao, Zile, et al.
Published: (2024)

Large Language Models for Extrapolative Modeling of Manufacturing Processes
by: Khanghah, Kiarash Naghavi, et al.
Published: (2025)

PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction
by: Yu, Simon, et al.
Published: (2025)

Do Large Language Models Mirror Cognitive Language Processing?
by: Ren, Yuqi, et al.
Published: (2024)

SEER: The Span-based Emotion Evidence Retrieval Benchmark
by: Sampath, Aneesha, et al.
Published: (2025)

Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)

Process-based Self-Rewarding Language Models
by: Zhang, Shimao, et al.
Published: (2025)

Multimodal Large Language Models to Support Real-World Fact-Checking
by: Geng, Jiahui, et al.
Published: (2024)

Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
by: Yang, Yukang, et al.
Published: (2025)