Cover Image

Does Thought Require Sensory Grounding? From Pure Thinkers to Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Chalmers, David J.
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Could a Large Language Model be Conscious?
by: Chalmers, David J.
Published: (2023)

Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
by: Green, Tommaso, et al.
Published: (2025)

Propositional Interpretability in Artificial Intelligence
by: Chalmers, David J.
Published: (2025)

Does "Reasoning" with Large Language Models Improve Recognizing, Generating, and Reframing Unhelpful Thoughts?
by: Qi, Yilin, et al.
Published: (2025)

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment
by: Song, Yixin, et al.
Published: (2025)

Does Model Size Matter? A Comparison of Small and Large Language Models for Requirements Classification
by: Zadenoori, Mohammad Amin, et al.
Published: (2025)

Engineering Safety Requirements for Autonomous Driving with Large Language Models
by: Nouri, Ali, et al.
Published: (2024)

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation
by: Yang, Hao, et al.
Published: (2024)

Universe of Thoughts: Enabling Creative Reasoning with Large Language Models
by: Suzuki, Yuto, et al.
Published: (2025)

WebThinker: Empowering Large Reasoning Models with Deep Research Capability
by: Li, Xiaoxi, et al.
Published: (2025)

AI's Euclid's Elements Moment: From Language Models to Computable Thought
by: Fang, Xinmin, et al.
Published: (2025)

From What to How: Bridging User Requirements with Software Development Using Large Language Models
by: He, Xiao, et al.
Published: (2026)

From Thinker to Society: Security in Hierarchical Autonomy Evolution of AI Agents
by: Zhang, Xiaolei, et al.
Published: (2026)

Compass-Thinker-7B Technical Report
by: Zeng, Anxiang, et al.
Published: (2025)

Apriel-1.5-15b-Thinker
by: Radhakrishna, Shruthan, et al.
Published: (2025)

Intelligence Requires Grounding But Not Embodiment
by: Ma, Marcus, et al.
Published: (2026)

Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks
by: Rontogiannis, Dimitrios, et al.
Published: (2025)

SpatialText: A Pure-Text Cognitive Benchmark for Spatial Understanding in Large Language Models
by: Jiang, Peiyao, et al.
Published: (2026)

Does In-IDE Calibration of Large Language Models work at Scale?
by: Koohestani, Roham, et al.
Published: (2025)

Simulating Society Requires Simulating Thought
by: Li, Chance Jiajie, et al.
Published: (2025)

The Emergence of Abstract Thought in Large Language Models Beyond Any Language
by: Chen, Yuxin, et al.
Published: (2025)

From Passive Reuse to Active Reasoning: Grounding Large Language Models for Neuro-Symbolic Experience Replay
by: Xiao, Yanan, et al.
Published: (2026)

Understanding Chain-of-Thought in Large Language Models via Topological Data Analysis
by: Li, Chenghao, et al.
Published: (2025)

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language
by: Li, Naiqi, et al.
Published: (2025)

Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models
by: Teng, Shiyu, et al.
Published: (2025)

Automating the Detection of Requirement Dependencies Using Large Language Models
by: Darif, Ikram, et al.
Published: (2026)

Grounding Large Language Models in Reaction Knowledge Graphs for Synthesis Retrieval
by: Bunkova, Olga, et al.
Published: (2026)

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders
by: Huang, Wei-Hsiang, et al.
Published: (2025)

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations
by: Aravindan, Ashwath Vaithinathan, et al.
Published: (2026)

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
by: Sel, Bilgehan, et al.
Published: (2023)

Applying Large Language Models and Chain-of-Thought for Automatic Scoring
by: Lee, Gyeong-Geon, et al.
Published: (2023)

Apriel-Nemotron-15B-Thinker
by: Radhakrishna, Shruthan, et al.
Published: (2025)

Graph-of-Thought: Utilizing Large Language Models to Solve Complex and Dynamic Business Problems
by: Li, Ye
Published: (2024)

MonitorBench: A Comprehensive Benchmark for Chain-of-Thought Monitorability in Large Language Models
by: Wang, Han, et al.
Published: (2026)

Does Self-Evaluation Enable Wireheading in Language Models?
by: Africa, David Demitri, et al.
Published: (2025)

Plan-Grounded Large Language Models for Dual Goal Conversational Settings
by: Glória-Silva, Diogo, et al.
Published: (2024)

From What to Why: Thought-Space Recommendation with Small Language Models
by: Biswas, Prosenjit, et al.
Published: (2025)

FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
by: Fan, Tao, et al.
Published: (2024)

Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models
by: Yu, Junchi, et al.
Published: (2023)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)