56 citations · 98 across the 9 of their papers we have counts for
13 papers
Word-Level Representation From Bytes For Language Modeling
Chu-Tak Lee, Qipeng Guo, Xipeng Qiu
Modern language models mostly take sub-words as input, a design that balances the trade-off between vocabulary size, number of parameters, and performance. However, sub-word tokeni…
DORE: Document Ordered Relation Extraction based on Generative Framework
Qipeng Guo, Yuqing Yang, Hang Yan +2
In recent years, there is a surge of generation-based information extraction work, which allows a more direct use of pre-trained language models and efficiently captures output dep…
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees
Tengxiao Liu, Qipeng Guo, Xiangkun Hu +3
Interpreting the reasoning process from questions to answers poses a challenge in approaching explainable QA. A recently proposed structured reasoning format, entailment tree, mana…
Towards Collaborative Question Answering: A Preliminary Study
Xiangkun Hu, Hang Yan, Qipeng Guo +3
Knowledge and expertise in the real-world can be disjointedly owned. To solve a complex question, collaboration among experts is often called for. In this paper, we propose CollabQ…
A Unified Generative Framework for Various NER Subtasks
Hang Yan, Tao Gui, Junqi Dai +3
Named Entity Recognition (NER) is the task of identifying spans that represent entities in sentences. Whether the entity spans are nested or discontinuous, the NER task can be cate…
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
Qipeng Guo, Zhijing Jin, Ziyu Wang +5
Cycle-consistent training is widely used for jointly learning a forward and inverse mapping between two domains of interest without the cumbersome requirement of collecting matched…