13 citations · 23 across the 5 of their papers we have counts for
5 papers
LongCat-Next: Lexicalizing Modalities as Discrete Tokens
Meituan LongCat Team, Bin Xiao, Chao Wang +86
The prevailing Next-Token Prediction (NTP) paradigm has driven the success of large language models through discrete autoregressive modeling. However, contemporary multimodal syste…
Bipartite Flat-Graph Network for Nested Named Entity Recognition
Ying Luo, Hai Zhao
In this paper, we propose a novel bipartite flat-graph network (BiFlaG) for nested named entity recognition (NER), which contains two subgraph modules: a flat NER module for outerm…
Hierarchical Contextualized Representation for Named Entity Recognition
Ying Luo, Fengshun Xiao, Hai Zhao
Named entity recognition (NER) models are typically based on the architecture of Bi-directional LSTM (BiLSTM). The constraints of sequential nature and the modeling of single input…
Open Named Entity Modeling from Embedding Distribution
Ying Luo, Hai Zhao, Zhuosheng Zhang +1
In this paper, we report our discovery on named entity distribution in a general word embedding space, which helps an open definition on multilingual named entity definition rather…
Named Entity Recognition Only from Word Embeddings
Ying Luo, Hai Zhao, Junlang Zhan
Deep neural network models have helped named entity (NE) recognition achieve amazing performance without handcrafting features. However, existing systems require large amounts of h…