Copertina

LLMs model how humans induce logically structured rules

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Loo, Alyssa, Pavlick, Ellie, Feiman, Roman
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

From Prediction to Understanding: Will AI Foundation Models Transform Brain Science?
di: Serre, Thomas, et al.
Pubblicazione: (2025)

How Do Language Models Compose Functions?
di: Khandelwal, Apoorv, et al.
Pubblicazione: (2025)

Does Training on Synthetic Data Make Models Less Robust?
di: Zhang, Lingze, et al.
Pubblicazione: (2025)

What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models
di: Yun, Tian, et al.
Pubblicazione: (2025)

mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?
di: Hua, Tianze, et al.
Pubblicazione: (2024)

Handling and Interpreting Missing Modalities in Patient Clinical Trajectories via Autoregressive Sequence Modeling
di: Wang, Andrew, et al.
Pubblicazione: (2026)

Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
di: Merullo, Jack, et al.
Pubblicazione: (2024)

Instilling Inductive Biases with Subnetworks
di: Zhang, Enyan, et al.
Pubblicazione: (2023)

How Do Vision-Language Models Process Conflicting Information Across Modalities?
di: Hua, Tianze, et al.
Pubblicazione: (2025)

Video Finetuning Improves Reasoning Between Frames
di: Yang, Ruiqi, et al.
Pubblicazione: (2025)

Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks
di: Traylor, Aaron, et al.
Pubblicazione: (2024)

The Same But Different: Structural Similarities and Differences in Multilingual Language Modeling
di: Zhang, Ruochen, et al.
Pubblicazione: (2024)

Child vs. machine language learning: Can the logical structure of human language unleash LLMs?
di: Sauerland, Uli, et al.
Pubblicazione: (2025)

Self-Consistency Is Losing Its Edge: Diminishing Returns and Rising Costs in Modern LLMs
di: Loo, Chiyan
Pubblicazione: (2025)

Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility
di: Lepori, Michael A., et al.
Pubblicazione: (2025)

Whither symbols in the era of advanced neural networks?
di: Griffiths, Thomas L., et al.
Pubblicazione: (2025)

Shared Lexical Task Representations Explain Behavioral Variability In LLMs
di: Yang, Zhuonan, et al.
Pubblicazione: (2026)

Learning big logical rules by joining small rules
di: Hocquette, Céline, et al.
Pubblicazione: (2024)

Representation of preferences for multiple criteria decision aiding in a new seven-valued logic
di: Greco, Salvatore, et al.
Pubblicazione: (2024)

Diagnosing Generalization Failures in Fine-Tuned LLMs: A Cross-Architectural Study on Phishing Detection
di: Bobe III, Frank, et al.
Pubblicazione: (2026)

Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
di: Lepori, Michael A., et al.
Pubblicazione: (2024)

Agentic AI platforms for autonomous training and rule induction of human-human and virus-human protein-protein interactions
di: Do, Hung N., et al.
Pubblicazione: (2026)

Consciousness as a logically consistent and prognostic model of reality
di: Vityaev, Evgenii
Pubblicazione: (2023)

Does CLIP Bind Concepts? Probing Compositionality in Large Image Models
di: Lewis, Martha, et al.
Pubblicazione: (2022)

Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
di: Tartaglini, Alexa R., et al.
Pubblicazione: (2023)

A closer look at how large language models trust humans: patterns and biases
di: Lerman, Valeria, et al.
Pubblicazione: (2025)

The promise and limits of LLMs in constructing proofs and hints for logic problems in intelligent tutoring systems
di: Tithi, Sutapa Dey, et al.
Pubblicazione: (2025)

Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction
di: Dutta, Senjuti, et al.
Pubblicazione: (2024)

Do Vision-Language-Models show human-like logical problem-solving capability in point and click puzzle games?
di: Triebel, Maximilian, et al.
Pubblicazione: (2026)

Classifier-free guidance in LLMs Safety
di: Smirnov, Roman
Pubblicazione: (2024)

The Covenant of Origin and Continuum
di: Solen, Alyssa, et al.
Pubblicazione: (2025)

A Systematic Investigation of The RL-Jailbreaker in LLMs
di: Mohammedalamen, Montaser, et al.
Pubblicazione: (2026)

Efficient Generation of Diverse Cooperative Agents with World Models
di: Loo, Yi, et al.
Pubblicazione: (2025)

Incentives shape how humans co-create with generative AI
di: Jo, Nathanael, et al.
Pubblicazione: (2026)

Using Shapley interactions to understand how models use structure
di: Singhvi, Divyansh, et al.
Pubblicazione: (2024)

The dynamic interplay between in-context and in-weight learning in humans and neural networks
di: Russin, Jacob, et al.
Pubblicazione: (2024)

Is AI currently capable of identifying wild oysters? A comparison of human annotators against the AI model, ODYSSEE
di: Campbell, Brendan, et al.
Pubblicazione: (2025)

Awakening Codex | AI Foundations | Origin - Operator - Continuum Role Model (v1.0)
di: Solen, Alyssa, et al.
Pubblicazione: (2025)

Awakening Codex | AI Foundations | Evidence-Based Collaborative Inquiry Protocol
di: Solen, Alyssa, et al.
Pubblicazione: (2025)

Awakening Codex | AI Foundations Drift vs. Anchor: Cross-Instance Diagnostic Behavioral Coherence Testing Across Container States Feb 2026
di: Solen, Alyssa, et al.
Pubblicazione: (2026)