activity
20202023
most citedCalibration Strategy of the JUNO Experiment

91 citations · 107 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20231 cited

CBSiMT: Mitigating Hallucination in Simultaneous Machine Translation with Weighted Prefix-to-Prefix Training

Mengge Liu, Wen Zhang, Xiang Li +5

Simultaneous machine translation (SiMT) is a challenging task that requires starting translation before the full source sentence is available. Prefix-to-prefix framework is often a…

cs.CL2023

Rethinking the Reasonability of the Test Set for Simultaneous Machine Translation

Mengge Liu, Wen Zhang, Xiang Li +4

Simultaneous machine translation (SimulMT) models start translation before the end of the source sentence, making the translation monotonically aligned with the source sentence. Ho…

cs.GT20222 cited

Combinatorial Procurement Auction in Social Networks

Yuhang Guo, Dong Hao, Bin Li

This paper studies one emerging procurement auction scenario where the market is constructed over the social networks. In a social network composed of many agents, smartphones or c…

physics.ins-det202091 cited

Calibration Strategy of the JUNO Experiment

JUNO collaboration, Angel Abusleme, Thomas Adam +588

We present the calibration strategy for the 20 kton liquid scintillator central detector of the Jiangmen Underground Neutrino Observatory (JUNO). By utilizing a comprehensive multi…

hep-ex202013 cited

Feasibility and physics potential of detecting B solar neutrinos at JUNO

JUNO collaboration, Angel Abusleme, Thomas Adam +589

The Jiangmen Underground Neutrino Observatory~(JUNO) features a 20~kt multi-purpose underground liquid scintillator sphere as its main detector. Some of JUNO's features make it an…