Copertina

Spatiotemporal Hidden-State Dynamics as a Signature of Internal Reasoning in Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Furuya, Kotaro, Tanimura, Takahito
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

The Geometry of Dialogue: Graphing Language Models to Reveal Synergistic Teams for Multi-Agent Collaboration
di: Furuya, Kotaro, et al.
Pubblicazione: (2025)

TInR: Exploring Tool-Internalized Reasoning in Large Language Models
di: Xu, Qiancheng, et al.
Pubblicazione: (2026)

ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
di: Ni, Jingwei, et al.
Pubblicazione: (2025)

Calibrating Reasoning in Language Models with Internal Consistency
di: Xie, Zhihui, et al.
Pubblicazione: (2024)

Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding
di: Liu, Tianqiao, et al.
Pubblicazione: (2024)

State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models
di: Wong, Annie, et al.
Pubblicazione: (2026)

Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models
di: Su, Weihang, et al.
Pubblicazione: (2024)

Dissecting Failure Dynamics in Large Language Model Reasoning
di: Zhu, Wei, et al.
Pubblicazione: (2026)

Reasoning Capabilities of Large Language Models on Dynamic Tasks
di: Wong, Annie, et al.
Pubblicazione: (2025)

Reasoning and the Trusting Behavior of DeepSeek and GPT: An Experiment Revealing Hidden Fault Lines in Large Language Models
di: Li, Rubing, et al.
Pubblicazione: (2025)

Entropy-Gradient Inversion: Moving Toward Internal Mechanism of Large Reasoning Models
di: Yang, Junyao, et al.
Pubblicazione: (2026)

Nudging Hidden States: Training-Free Model Steering for Chain-of-Thought Reasoning in Large Audio-Language Models
di: Ieong, Lok-Lam, et al.
Pubblicazione: (2026)

Reasoning Models Know When They're Right: Probing Hidden States for Self-Verification
di: Zhang, Anqi, et al.
Pubblicazione: (2025)

Learning Uncertainty from Sequential Internal Dispersion in Large Language Models
di: Srey, Ponhvoan, et al.
Pubblicazione: (2026)

FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models
di: Zhu, Max, et al.
Pubblicazione: (2024)

Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning
di: Zhou, Jianpeng, et al.
Pubblicazione: (2023)

Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
di: Wang, Jiapu, et al.
Pubblicazione: (2024)

Where Should Diffusion Enter a Language Model? Geometry-Guided Hidden-State Replacement
di: Kong, Injin, et al.
Pubblicazione: (2026)

PDDL-Mind: Large Language Models are Capable on Belief Reasoning with Reliable State Tracking
di: Zhu, Wang Bill, et al.
Pubblicazione: (2026)

MLLM-Microscope: Unlocking Hidden Structure Within Multimodal Large Language Models
di: Mussabayev, Ravil, et al.
Pubblicazione: (2026)

A Study on Hidden Layer Distillation for Large Language Model Pre-Training
di: Guigon, Maxime, et al.
Pubblicazione: (2026)

Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models
di: Yang, Hao, et al.
Pubblicazione: (2025)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
di: Xu, Fengli, et al.
Pubblicazione: (2025)

Agentic Reasoning for Large Language Models
di: Wei, Tianxin, et al.
Pubblicazione: (2026)

Large Language Models Are Neurosymbolic Reasoners
di: Fang, Meng, et al.
Pubblicazione: (2024)

Who Reasons in the Large Language Models?
di: Shao, Jie, et al.
Pubblicazione: (2025)

Large Language Models are Contrastive Reasoners
di: Yao, Liang
Pubblicazione: (2024)

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
di: Wang, Jingyuan, et al.
Pubblicazione: (2025)

Certainty-Guided Reasoning in Large Language Models: A Dynamic Thinking Budget Approach
di: Nogueira, João Paulo, et al.
Pubblicazione: (2025)

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
di: Luo, Linhao, et al.
Pubblicazione: (2023)

Do You Trust Me? Cognitive-Affective Signatures of Trustworthiness in Large Language Models
di: Yeo, Gerard, et al.
Pubblicazione: (2025)

Internal Safety Collapse in Frontier Large Language Models
di: Wu, Yutao, et al.
Pubblicazione: (2026)

Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router
di: Shao, Chenyang, et al.
Pubblicazione: (2025)

Inductive Linguistic Reasoning with Large Language Models
di: Ramji, Raghav, et al.
Pubblicazione: (2024)

Structured Chemistry Reasoning with Large Language Models
di: Ouyang, Siru, et al.
Pubblicazione: (2023)

Attention-Aligned Reasoning for Large Language Models
di: Zhang, Hongxiang, et al.
Pubblicazione: (2025)

Internal Reasoning vs. External Control: A Thermodynamic Analysis of Sycophancy in Large Language Models
di: Chang, Edward Y.
Pubblicazione: (2025)

Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies
di: Xiong, Tao, et al.
Pubblicazione: (2025)

ARS: Adaptive Reasoning Suppression for Efficient Large Reasoning Language Models
di: Zheng, Dongqi
Pubblicazione: (2025)

Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning
di: Zhang, Yanfang, et al.
Pubblicazione: (2024)