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2026년 2월 11일

A Survey on Mixture of Experts in Large Language Models

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Emergent Introspective Awareness in Large Language Models

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

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

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Theory of Mind in Large Language Models: Assessment and Enhancement

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태그: paper

A Survey on Mixture of Experts in Large Language Models

Consciousness in Artificial Intelligence: Insights from the Science of Consciousness

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

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

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

Large Language Models Report Subjective Experience Under Self-Referential Processing

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

PERSONA VECTORS: MONITORING AND CONTROLLING CHARACTER TRAITS IN LANGUAGE MODELS

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?

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

MOM: LINEAR SEQUENCE MODELING WITH MIXTURE-OF-MEMORIES

MemGen: Weaving Generative Latent Memory for Self-Evolving Agents

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning