34 citations · 37 across the 12 of their papers we have counts for
6 papers · 1 filter
FSE: Continual Learning for Named Entity Recognition by Fast-Slow Experts
Yunan Zhang, Yang Fan, Heng Li +2
Continual Learning for Named Entity Recognition (CLNER) enable models to incrementally learn new entity types without forgetting previously acquired ones. However, existing methods…
WaterSearch: Exploring Seed Pooling for Improving the Quality-Detectability Trade-off in LLM Watermarking
Yukang Lin, Jiahao Shao, Shuoran Jiang +5
Watermarking acts as a critical safeguard in text generated by Large Language Models (LLMs). By embedding identifiable signals into model outputs, watermarking enables reliable att…
GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay
Yunan Zhang, Shuoran Jiang, Mengchen Zhao +4
The continual learning capability of large language models (LLMs) is crucial for advancing artificial general intelligence. However, continual fine-tuning LLMs across various domai…
CrossFormer: Cross-Segment Semantic Fusion for Document Segmentation
Tongke Ni, Yang Fan, Junru Zhou +2
Text semantic segmentation involves partitioning a document into multiple paragraphs with continuous semantics based on the subject matter, contextual information, and document str…
TDeLTA: A Light-weight and Robust Table Detection Method based on Learning Text Arrangement
Yang Fan, Xiangping Wu, Qingcai Chen +4
The diversity of tables makes table detection a great challenge, leading to existing models becoming more tedious and complex. Despite achieving high performance, they often overfi…
Decomposing Word Embedding with the Capsule Network
Xin Liu, Qingcai Chen, Yan Liu +4
Word sense disambiguation tries to learn the appropriate sense of an ambiguous word in a given context. The existing pre-trained language methods and the methods based on multi-emb…