폴더: AI/Papers/Self-Consciousness

2026년 2월 11일

Self-awareness

2026년 2월 11일

Theory-of-Mind

2026년 2월 11일

Theory

2026년 2월 11일

bench

2026년 2월 11일

Analyzing Advanced AI Systems Against Definitions of Life and Consciousness

2026년 2월 11일

Brittle Minds Fixable Activations - Understanding Belief Representations in Language Models

2026년 2월 11일

Can We Test Consciousness Theories on AI? Ablations, Markers, and Robustness

2026년 2월 11일

Consciousness in Artificial Intelligence: Insights from the Science of Consciousness

paper

2026년 2월 11일

Does It Make Sense to Speak of Introspection in Large Language Models

2026년 2월 11일

Does It Make Sense to Speak of Introspection in Large Language Models?

paper

2026년 2월 11일

Emergent Introspective Awareness in Large Language Models

paper

2026년 2월 11일

Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks

paper

2026년 2월 11일

From Emergence to Control - Probing and Modulating Self-Reflection in Language Models

2026년 2월 11일

4.3 Representation: How Do Models Represent Self-Consciousness?

2026년 2월 11일

How large language models encode theory-of-mind: a study on sparse parameter patterns

paper

2026년 2월 11일

Introduction to Artificial Consciousness - History, Current Trends and Ethical Challenges

2026년 2월 11일

Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations

paper

2026년 2월 11일

Large Language Models Report Subjective Experience Under Self-Referential Processing

paper

2026년 2월 11일

Looking Inward - Language Models Can Learn About Themselves by Introspection

2026년 2월 11일

MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems

paper

2026년 2월 11일

PERSONA VECTORS: MONITORING AND CONTROLLING CHARACTER TRAITS IN LANGUAGE MODELS

paper

2026년 2월 11일

ReflectEvo - Improving Meta Introspection of Small LLMs by Learning Self-Reflection

2026년 2월 11일

Research-Proposal_ToM-Metacognition-Bridge_20260205

2026년 2월 11일

Self-Consciousness_in_LLMs_research_ideation_20260205

2026년 2월 11일

G Comparative Geometric Analysis of Base Model Configurations (Llama-3.1 8B Instruct)

paper

2026년 2월 11일

Systematic Review and Inventory of [Theory of Mind Measures for Young](https://www.frontiersin.org/articles/10.3389/fpsyg.2019.02905/full) Children

paper

2026년 2월 11일

TOM BENCH - Benchmarking Theory of Mind in Large Language Models

paper

2026년 2월 11일

TELL ME ABOUT YOURSELF: LLMS ARE AWARE OF THEIR LEARNED BEHAVIORS

paper

2026년 2월 11일

Theory of Mind in Large Language Models: Assessment and Enhancement

paper

2026년 2월 11일

What is consciousness, and could machines have it?

paper

2026년 2월 11일

self-consciousness

2026년 2월 11일

MoE × 의식 아이디어: 3인 과학자 종합 평가

2026년 2월 10일

Pilot Dataset Selection: ToM-SRP Functional Convergence 실험

2026년 2월 06일

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폴더: AI/Papers/Self-Consciousness

Self-awareness

Theory-of-Mind

Theory

bench

Analyzing Advanced AI Systems Against Definitions of Life and Consciousness

Brittle Minds Fixable Activations - Understanding Belief Representations in Language Models

Can We Test Consciousness Theories on AI? Ablations, Markers, and Robustness

Consciousness in Artificial Intelligence: Insights from the Science of Consciousness

Does It Make Sense to Speak of Introspection in Large Language Models

Does It Make Sense to Speak of Introspection in Large Language Models?

Emergent Introspective Awareness in Large Language Models

Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks

From Emergence to Control - Probing and Modulating Self-Reflection in Language Models

4.3 Representation: How Do Models Represent Self-Consciousness?

How large language models encode theory-of-mind: a study on sparse parameter patterns

Introduction to Artificial Consciousness - History, Current Trends and Ethical Challenges

Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations

Large Language Models Report Subjective Experience Under Self-Referential Processing

Looking Inward - Language Models Can Learn About Themselves by Introspection

MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems

PERSONA VECTORS: MONITORING AND CONTROLLING CHARACTER TRAITS IN LANGUAGE MODELS

ReflectEvo - Improving Meta Introspection of Small LLMs by Learning Self-Reflection

Research-Proposal_ToM-Metacognition-Bridge_20260205

Self-Consciousness_in_LLMs_research_ideation_20260205

G Comparative Geometric Analysis of Base Model Configurations (Llama-3.1 8B Instruct)

Systematic Review and Inventory of [Theory of Mind Measures for Young](https://www.frontiersin.org/articles/10.3389/fpsyg.2019.02905/full) Children

TOM BENCH - Benchmarking Theory of Mind in Large Language Models

TELL ME ABOUT YOURSELF: LLMS ARE AWARE OF THEIR LEARNED BEHAVIORS

Theory of Mind in Large Language Models: Assessment and Enhancement

What is consciousness, and could machines have it?

self-consciousness

MoE × 의식 아이디어: 3인 과학자 종합 평가

Pilot Dataset Selection: ToM-SRP Functional Convergence 실험

Theory of Mind & Self-Awareness: Neural Overlap Survey