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자연언어처리(Natural Language Processing, NLP)는 인공지능(AI) 분야에서 가장 빠르게 발전하는 영역 중 하나입니다. 특히 거대 언어 모델(Large Language Models, LLM)의 등장은 인간의 언어를 이해하고 생성하는 AI의 능력을 전례 없는 수준으로 끌어올렸습니다. 하지만 이러한 눈부신 발전에도 불구하고, AI는 여전...

Scientific publication compresses a branching, iterative research process into a linear narrative, discarding the majority of what was discovered along the way. This compilation imposes two structural...

Latent space is rapidly emerging as a native substrate for language-based models. While modern systems are still commonly understood through explicit token-level generation, an increasing body of work...

We generalize the attention mechanism by viewing it through the lens of Entropic Optimal Transport, revealing that standard attention corresponds to a transport problem regularized by an implicit unif...

Powerful large language models (LLMs) from different providers have been expensively trained and finetuned to specialize across varying domains. In this work, we introduce a new kind of Conductor mode...

Current agentic memory systems (vector stores, retrieval-augmented generation, scratchpads, and context-window management) do not implement memory: they implement lookup. We argue that treating lookup...