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From the 2 of 15 linked papers with an AI index.

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20242026
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cs.CL2026

Metis: Memory Foundation Model

Zeyu Zhang, Ziliang Guo, Yihang Sun +14

The paper presents Metis, a memory foundation model that embeds a persistent, dynamically updated memory state within the model backbone, allowing it to store and retrieve informat…

cs.CL2025

MemOS: A Memory OS for AI System

Zhiyu Li, Chenyang Xi, Chunyu Li +36

Large Language Models (LLMs) have become an essential infrastructure for Artificial General Intelligence (AGI), yet their lack of well-defined memory management systems hinders the…

cs.CL2025

TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction

Jie Zhang, Bo Tang, Wanzi Shao +8

Retrieval-Augmented Generation (RAG) improves large language models by retrieving external knowledge, often truncated into smaller chunks due to the input context window, which lea…

cs.CL2025

MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models

Zhiyu Li, Shichao Song, Hanyu Wang +19

Large Language Models (LLMs) have emerged as foundational infrastructure in the pursuit of Artificial General Intelligence (AGI). Despite their remarkable capabilities in language…

cs.CL2025

SurveyX: Academic Survey Automation via Large Language Models

Xun Liang, Jiawei Yang, Yezhaohui Wang +11

Large Language Models (LLMs) have demonstrated exceptional comprehension capabilities and a vast knowledge base, suggesting that LLMs can serve as efficient tools for automated sur…

cs.CL2024

: Language Modeling with Explicit Memory

Hongkang Yang, Zehao Lin, Wenjin Wang +13

The training and inference of large language models (LLMs) are together a costly process that transports knowledge from raw data to meaningful computation. Inspired by the memory h…