Zobrazeno 1 - 10
of 3 856
pro vyhledávání: '"Gao Shang"'
We introduce a group of related methods for binary classification tasks using probes of the hidden state activations in large language models (LLMs). Performance is on par with the largest and most advanced LLMs currently available, but requiring ord
Externí odkaz:
http://arxiv.org/abs/2408.11239
Convolutional neural networks (CNNs) have been shown to be the state-of-the-art approach for modeling the transfer functions of visual cortical neurons. Cortical neurons in the primary visual cortex are are sensitive to contextual information mediate
Externí odkaz:
http://arxiv.org/abs/2406.07843
Autor:
Gao, Shang, Pasco, Chris, Omar, Otkur, Zhang, Qiang, Pajerowski, Daniel M., Ye, Feng, Frontzek, Matthias, May, Andrew F., Stone, Matthew B., Christianson, Andrew D.
A codimension-two spiral spin-liquid is a correlated paramagnetic state with one-dimensional ground state degeneracy hosted within a three-dimensional lattice. Here, via neutron scattering experiments and numerical simulations, we establish the exist
Externí odkaz:
http://arxiv.org/abs/2405.18973
Retrieval-Augmented Generation (RAG) systems are widely used across various industries for querying closed-domain and in-house knowledge bases. However, evaluating these systems presents significant challenges due to the private nature of closed-doma
Externí odkaz:
http://arxiv.org/abs/2404.19232
Image-text matching remains a challenging task due to heterogeneous semantic diversity across modalities and insufficient distance separability within triplets. Different from previous approaches focusing on enhancing multi-modal representations or e
Externí odkaz:
http://arxiv.org/abs/2404.18114
Autor:
Gao, Shang
Emergent molecular-like excitations have been discovered in a series of pyrochlore antiferromagnets, yet their origins and relationships with the coexisting magnon excitations remain a puzzle. Here, by incorporating the dynamic spin-lattice coupling
Externí odkaz:
http://arxiv.org/abs/2404.05523
Data Availability and Decentralization: New Techniques for zk-Rollups in Layer 2 Blockchain Networks
The scalability limitations of public blockchains have hindered their widespread adoption in real-world applications. While the Ethereum community is pushing forward in zk-rollup (zero-knowledge rollup) solutions, such as introducing the ``blob trans
Externí odkaz:
http://arxiv.org/abs/2403.10828
Autor:
Hirschberger, Max, Szigeti, Bertalan G., Hemmida, Mamoun, Hirschmann, Moritz M., Esser, Sebastian, Ohsumi, Hiroyuki, Tanaka, Yoshikazu, Spitz, Leonie, Gao, Shang, Kolincio, Kamil K., Sagayama, Hajime, Nakao, Hironori, Yamasaki, Yuichi, Forró, László, von Nidda, Hans-Albrecht Krug, Kézsmárki, István, Arima, Taka-hisa, Tokura, Yoshinori
Publikováno v:
npj Quantum Mater. 9, 45 (2024)
Skyrmion lattices (SkL) in centrosymmetric materials typically have a magnetic period on the nanometer-scale, so that the coupling between magnetic superstructures and the underlying crystal lattice cannot be neglected. Here, we reveal the commensura
Externí odkaz:
http://arxiv.org/abs/2403.05082
Long-context large language models (LLMs) hold promise for tasks such as question-answering (QA) over long documents, but they tend to miss important information in the middle of context documents (arXiv:2307.03172v3). Here, we introduce $\textit{R&R
Externí odkaz:
http://arxiv.org/abs/2403.05004
Autor:
Zhou, Haoying, Jiang, Yiwei, Gao, Shang, Wang, Shiyue, Kazanzides, Peter, Fischer, Gregory S.
In this work, we develop an open-source surgical simulation environment that includes a realistic model obtained by MRI-scanning a physical phantom, for the purpose of training and evaluating a Learning from Demonstration (LfD) algorithm for autonomo
Externí odkaz:
http://arxiv.org/abs/2403.00956