Cover Image

The Unified Cognitive Consciousness Theory for Language Models: Anchoring Semantics, Thresholds of Activation, and Emergent Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chang, Edward Y., Kaya, Zeyneb N., Chang, Ethan
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAudit: A Blind Auditing Protocol for Large Language Model Reasoning
by: Chang, Edward Y., et al.
Published: (2026)

Unlocking the Wisdom of Large Language Models: An Introduction to The Path to Artificial General Intelligence
by: Chang, Edward Y.
Published: (2024)

EVINCE: Optimizing Multi-LLM Dialogues Using Conditional Statistics and Information Theory
by: Chang, Edward Y.
Published: (2024)

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

Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language Models
by: Chang, Edward Y.
Published: (2024)

Ensuring Ground Truth Accuracy in Healthcare with the EVINCE framework
by: Chang, Edward Y.
Published: (2024)

Diagnosing and Mitigating Sycophancy and Skepticism in LLM Causal Judgment
by: Chang, Edward Y.
Published: (2026)

ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning
by: Chang, Edward Y., et al.
Published: (2025)

SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planning
by: Chang, Edward Y., et al.
Published: (2025)

Uncovering Biases with Reflective Large Language Models
by: Chang, Edward Y.
Published: (2024)

SocraSynth: Multi-LLM Reasoning with Conditional Statistics
by: Chang, Edward Y.
Published: (2024)

An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs
by: Rai, Daking, et al.
Published: (2024)

CausalT5K: Diagnosing and Informing Refusal for Trustworthy Causal Reasoning of Skepticism, Sycophancy, Detection-Correction, and Rung Collapse
by: Geng, Longling, et al.
Published: (2026)

Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints
by: Peng, Songping, et al.
Published: (2026)

Search-R3: Unifying Reasoning and Embedding in Large Language Models
by: Gui, Yuntao, et al.
Published: (2025)

ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models
by: Fang, Bowen, et al.
Published: (2026)

SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization
by: Hua, Yuncheng, et al.
Published: (2026)

Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models
by: Wu, Canhui, et al.
Published: (2025)

Artificial Phantasia: Emergent Mental Imagery in Large Language Models
by: McCarty, Morgan, et al.
Published: (2025)

ScrapMem: A Bio-inspired Framework for On-device Personalized Agent Memory via Optical Forgetting
by: Chang, Jiale, et al.
Published: (2026)

PhysNote: Self-Knowledge Notes for Evolvable Physical Reasoning in Vision-Language Model
by: Zhang, Sinin, et al.
Published: (2026)

A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models
by: Christop, Iwona, et al.
Published: (2026)

Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)

Learning Temporal Abstractions via Variational Homomorphisms in Option-Induced Abstract MDPs
by: Li, Chang, et al.
Published: (2025)

Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration
by: Yuan, Weikang, et al.
Published: (2024)

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback
by: Adapala, Sai Teja Reddy
Published: (2025)

On Semantic Loss Fine-Tuning Approach for Preventing Model Collapse in Causal Reasoning
by: Deshmukh, Pratik, et al.
Published: (2026)

Quantifying Self-Preservation Bias in Large Language Models
by: Migliarini, Matteo, et al.
Published: (2026)

Evaluating Relational Reasoning in LLMs with REL
by: Fesser, Lukas, et al.
Published: (2026)

SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis
by: Gao, Qiang, et al.
Published: (2026)

UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning
by: Ovcharov, Volodymyr
Published: (2026)

Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
by: Adapala, Sai Teja Reddy
Published: (2025)

Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines
by: Lai, Junyu, et al.
Published: (2024)

KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning
by: Parashar, Jayant, et al.
Published: (2026)

Applying Cognitive Design Patterns to General LLM Agents
by: Wray, Robert E., et al.
Published: (2025)

An NLP-Driven Framework for Curriculum-Labor Market Alignment: Schema-Constrained LLM Extraction, ESCO-Anchored Semantic Matching, and Multi-Dimensional Gap Quantification
by: Turaev, Sherzod, et al.
Published: (2026)

BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
by: Patarlapalli, Sai Babu, et al.
Published: (2026)

A Fuzzy Logic Prompting Framework for Large Language Models in Adaptive and Uncertain Tasks
by: Figueiredo, Vanessa
Published: (2025)

From Extraction to Synthesis: Entangled Heuristics for Agent-Augmented Strategic Reasoning
by: Ghisellini, Renato, et al.
Published: (2025)

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
by: Xu, Chenjun, et al.
Published: (2025)