A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization

Kavli Affiliate: Xiang Zhang | First 5 Authors: Puyuan Liu, Xiang Zhang, Lili Mou, , | Summary: Sentence summarization aims at compressing a long sentence into a short one that keeps the main gist, and has extensive real-world applications such as headline generation. In previous work, researchers have developed various approaches to improve the ROUGE […]


Continue.. A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization

A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization

Kavli Affiliate: Xiang Zhang | First 5 Authors: Puyuan Liu, Xiang Zhang, Lili Mou, , | Summary: Sentence summarization aims at compressing a long sentence into a short one that keeps the main gist, and has extensive real-world applications such as headline generation. In previous work, researchers have developed various approaches to improve the ROUGE […]


Continue.. A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization

On Consistency in Graph Neural Network Interpretation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang, | Summary: Uncovering rationales behind predictions of graph neural networks (GNNs) has received increasing attention over recent years. Instance-level GNN explanation aims to discover critical input elements, like nodes or edges, that the target GNN relies upon for making […]


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Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation

Kavli Affiliate: Feng Wang | First 5 Authors: Mingzhe Li, XieXiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang | Summary: Contrastive learning has achieved impressive success in generation tasks to militate the "exposure bias" problem and discriminatively exploit the different quality of references. Existing works mostly focus on contrastive learning on the instance-level without discriminating […]


Continue.. Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation

Measurement of $Br(H to γγ)$ in $e^{+}e^{-}$ collider at 240GeV in CEPC

Kavli Affiliate: Feng Wang | First 5 Authors: Fangyi Guo, Yaquan Fang, Gang Li, Xinchou Lou, Feng Wang | Summary: This note presents the prospects of measuring $Br(Hto gammagamma)$ of the Standard Model Higgs boson at the future Circular Electron-Positron Collider (CEPC) baseline detector (CEPC-v4) in $e^{+}e^{-}$ collisions at $sqrt{s}$ = 240 GeV in $e^{+}e^{-} […]


Continue.. Measurement of $Br(H to γγ)$ in $e^{+}e^{-}$ collider at 240GeV in CEPC

Observation of a multitude of correlated states at the surface of bulk 1T-TaSe$_2$ crystals

Kavli Affiliate: Michael F. Crommie | First 5 Authors: Yi Chen, Wei Ruan, Jeffrey D. Cain, Ryan L. Lee, Salman Kahn | Summary: The interplay between electron-electron interactions and structural ordering can yield exceptionally rich correlated electronic phases. We have used scanning tunneling microscopy to investigate bulk 1T-TaSe2 and have uncovered surprisingly diverse correlated surface […]


Continue.. Observation of a multitude of correlated states at the surface of bulk 1T-TaSe$_2$ crystals

Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Qinghao Hu, Zhisheng Ye, Peng Sun, Xiaolin Wang | Summary: Deep learning (DL) shows its prosperity in a wide variety of fields. The development of a DL model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU accelerators have been collectively constructed into a GPU […]


Continue.. Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision

Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Qinghao Hu, Zhisheng Ye, Peng Sun, Xiaolin Wang | Summary: Deep learning (DL) shows its prosperity in a wide variety of fields. The development of a DL model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU accelerators have been collectively constructed into a GPU […]


Continue.. Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision

A Rate Control Algorithm for Video-based Point Cloud Compression

Kavli Affiliate: Wei Gao | First 5 Authors: Fangyu Shen, Wei Gao, , , | Summary: Video-based point cloud compression (V-PCC) has been an emerging compression technology that projects the 3D point cloud into a 2D plane and uses high efficiency video coding (HEVC) to encode the projected 2D videos (geometry video and color video). […]


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Renormalization of excitonic properties by polar phonons

Kavli Affiliate: David T. Limmer | First 5 Authors: Yoonjae Park, David T. Limmer, , , | Summary: We employ quasiparticle path integral molecular dynamics to study how the excitonic properties of model semiconductors are altered by electron-phonon coupling. We describe ways within a path integral representation of the system to evaluate the renormalized mass, […]


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