EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Jiaxing Li, Chi Xu, Lianchen Jia, Feng Wang, Cong Zhang | Summary: Large language models (LLMs) have demonstrated impressive capabilities in language tasks, but they require high computing power and rely on static knowledge. To overcome these limitations, Retrieval-Augmented Generation (RAG) incorporates up-to-date external information into LLMs […]


Continue.. EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update

EACO-RAG: Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Jiaxing Li, Chi Xu, Lianchen Jia, Feng Wang, Cong Zhang | Summary: Large Language Models are revolutionizing Web, mobile, and Web of Things systems, driving intelligent and scalable solutions. However, as Retrieval-Augmented Generation (RAG) systems expand, they encounter significant challenges related to scalability, including increased delay and […]


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Drosophila Trus, the orthologue of mammalian PDCD2L, is required for proper cell proliferation, larval developmental timing, and oogenesis

Posted by dbos Columbia

Kavli Affiliate: Michael Goldberg | Authors: Saeko Takada, Bonnie J. Bolkan, MaryJane O’Connor, Michael Goldberg and Michael B. O’Connor | Summary: Toys are us (Trus) is the Drosophila ortholog of mammalian Programmed Cell Death 2-Like (PDCD2L), a protein that has been implicated in ribosome biogenesis, cell cycle regulation, and oncogenesis. In this study, we examined […]


Continue.. Drosophila Trus, the orthologue of mammalian PDCD2L, is required for proper cell proliferation, larval developmental timing, and oogenesis

Encoding manifolds constructed from grating responses organize responses to natural scenes in cortical visual areas

Posted by dbos UCSF

Kavli Affiliate: Michael Stryker | Authors: Luciano Dyballa, Greg D Field, Michael P Stryker and Steven W Zucker | Summary: We have created “encoding manifolds” to reveal the overall responses of a brain area to a variety of stimuli. Encoding manifolds organize response properties globally: each point on an encoding manifold is a neuron, and […]


Continue.. Encoding manifolds constructed from grating responses organize responses to natural scenes in cortical visual areas

Improving Galaxy Cluster Selection with the Outskirt Stellar Mass of Galaxies

Posted by dbos Stanford

Kavli Affiliate: Eli Rykoff | First 5 Authors: Matthew Kwiecien, Tesla Jeltema, Alexie Leauthaud, Song Huang, Eli Rykoff | Summary: The number density and redshift evolution of optically selected galaxy clusters offer an independent measurement of the amplitude of matter fluctuations, $S_8$. However, recent results have shown that clusters chosen by the redMaPPer algorithm show […]


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A Two-Week $IXPE$ Monitoring Campaign on Mrk 421

Posted by dbos Stanford

Kavli Affiliate: Nicola Omodei | First 5 Authors: W. Peter Maksym, Ioannis Liodakis, M. Lynne Saade, Dawoon E. Kim, Riccardo Middei | Summary: X-ray polarization is a unique new probe of the particle acceleration in astrophysical jets made possible through the Imaging X-ray Polarimetry Explorer. Here we report on the first dense X-ray polarization monitoring […]


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Counting Ability of Large Language Models and Impact of Tokenization

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Juntai Cao, Chenyu You, , | Summary: Transformers, the backbone of modern large language models (LLMs), face inherent architectural limitations that impede their reasoning capabilities. Unlike recurrent networks, Transformers lack recurrent connections, confining them to constant-depth computation. This restriction places them in the complexity class […]


Continue.. Counting Ability of Large Language Models and Impact of Tokenization

Counting Ability of Large Language Models and Impact of Tokenization

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Juntai Cao, Chenyu You, , | Summary: Transformers, the backbone of modern large language models (LLMs), face inherent architectural limitations that impede their reasoning capabilities. Unlike recurrent networks, Transformers lack recurrent connections, confining them to constant-depth computation. This restriction places them in the complexity class […]


Continue.. Counting Ability of Large Language Models and Impact of Tokenization

Observation of Quantum Criticality Class Crossover at the LaAlO$_3$/KTaO$_3$ (111) Interface

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Jia Liu, Long Cheng, Junkun Zha, Fei Ye, Xiaofang Zhai | Summary: In two-dimensional (2D) limit, the quantum fluctuation is significantly enhanced which could induce a quantum phase transition. Investigating the quantum criticality is an effective approach to elucidate the underlying physics of 2D superconductivity. Here we […]


Continue.. Observation of Quantum Criticality Class Crossover at the LaAlO$_3$/KTaO$_3$ (111) Interface

Modeling the Superlattice Phase Diagram of Transition Metal Intercalation in Bilayer 2H-TaS$_2$

Posted by dbos Berkeley

Kavli Affiliate: David T. Limmer | First 5 Authors: Isaac M. Craig, B. Junsuh Kim, David T. Limmer, D. Kwabena Bediako, Sinéad M. Griffin | Summary: Van der Waals hosts intercalated with transition metal (TM) ions exhibit a range of magnetic properties strongly influenced by the structural order of the intercalants. However, predictive computational models […]


Continue.. Modeling the Superlattice Phase Diagram of Transition Metal Intercalation in Bilayer 2H-TaS$_2$