A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Corby Rosset, Pratyush Sharma, Andrew Zhao, et al.
The Universal Verifier improves computer use agent evaluation by combining rubric design, process/outcome rewards, cascading-error-free scoring, and divide-and-conquer context management, achieving human-level agreement and near-zero false positives.
Zhiyu Li, Shichao Song, Hanyu Wang, et al.
MemOS is a memory operating system for LLMs that elevates memory to a first-class resource, unifying parametric, activation, and plaintext memory via the MemCube abstraction for lifecycle management and cross-modal integration.
Unknown
This paper proposes a Graph RAG framework that combines community-based indexing with lazy agentic querying to achieve explainable knowledge synthesis for internal knowledge management.
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Proposes DAM, a decision-theoretic framework for memory management in LLMs, treating memory as a utility-maximization problem rather than heuristic-based.
Yi Yu, Liuyi Yao, Yuexiang Xie, et al.
Proposes Agentic Memory (AgeMem), a unified framework integrating long-term and short-term memory management into LLM agent policy via tool-based actions and progressive reinforcement learning.
Alex Kuo
This paper evaluates the opportunities and challenges of cloud computing in healthcare across management, technology, security, and legal aspects.
Tuan-Minh Pham, Thi-Thuy-Lien Nguyen
Proposes optimization models and approximation algorithms for joint gateway placement, service placement, and routing in NFV-enabled IoT edge cloud systems.
Soren Kejser Jensen, Torben Bach Pedersen, Christian Thomsen
A survey classifying Time Series Management Systems by architecture, storage, querying, stream processing, and approximate query processing, with a vision for next-generation systems.
Kevin Skadron, Mircea R. Stan, Karthik Sankaranarayanan, et al.
Introduces HotSpot, a thermal model for microarchitecture, and evaluates dynamic thermal management techniques like migrating computation and hybrid policies.
Chiara Pavese, Lucas M. Bachmann, Martin Schubert, et al.
This paper develops and validates a logistic regression model using the ISNCSCI total motor score to predict independent bowel management one year after traumatic spinal cord injury.
Wei Zhou, Xuanhe Zhou, Shaokun Han, et al.
Proposes an analytical framework for evaluating agent memory from a data management perspective, decomposing memory into storage, retrieval, and lifecycle components.
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Memory OS introduces a novel operating system for LLM-based agent memory management, addressing key limitations in current designs.