12 citations · 23 across the 5 of their papers we have counts for
5 papers
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation
Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe
Human label variation (Plank 2022), or annotation disagreement, exists in many natural language processing (NLP) tasks. To be robust and trusted, NLP models need to identify such v…
Investigating Reasons for Disagreement in Natural Language Inference
Nan-Jiang Jiang, Marie-Catherine de Marneffe
We investigate how disagreement in natural language inference (NLI) annotation arises. We developed a taxonomy of disagreement sources with 10 categories spanning 3 high-level clas…
Quantum Support Vector Machine without Iteration
Rui Zhang, Jian Wang, Nan Jiang +1
Quantum algorithms can enhance machine learning in different aspects. In 2014, Rebentrost constructed a least squares quantum support vector machine (LS-QSVM), in which th…
Quantum-Memory-Enhanced Preparation of Nonlocal Graph States
Sheng Zhang, Yu-Kai Wu, Chang Li +3
Graph states are an important class of multipartite entangled states. Previous experimental generation of graph states and in particular the Greenberger-Horne-Zeilinger (GHZ) state…
High dimensional entanglement between a photon and a multiplexed atomic quantum memory
Chang Li, Yukai Wu, Wei Chang +4
Multiplexed quantum memories and high-dimensional entanglement can improve the performance of quantum repeaters by promoting the entanglement generation rate and the quantum commun…