most citedHarder Tasks Need More Experts: Dynamic Routing in MoE Models

3 citations · 7 across the 12 of their papers we have counts for

collaborators

6 papers

cs.CL2023

From the One, Judge of the Whole: Typed Entailment Graph Construction with Predicate Generation

Zhibin Chen, Yansong Feng, Dongyan Zhao

Entailment Graphs (EGs) have been constructed based on extracted corpora as a strong and explainable form to indicate context-independent entailment relations in natural languages.…

cs.CL20231 cited

How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension

Chen Zhang, Jiuheng Lin, Xiao Liu +3

The multi-answer phenomenon, where a question may have multiple answers scattered in the document, can be well handled by humans but is challenging enough for machine reading compr…

cs.CL20232 cited

The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code

Xiao Liu, Da Yin, Chen Zhang +2

Causal reasoning, the ability to identify cause-and-effect relationship, is crucial in human thinking. Although large language models (LLMs) succeed in many NLP tasks, it is still…

cs.CL2023

More than Classification: A Unified Framework for Event Temporal Relation Extraction

Quzhe Huang, Yutong Hu, Shengqi Zhu +3

Event temporal relation extraction~(ETRE) is usually formulated as a multi-label classification task, where each type of relation is simply treated as a one-hot label. This formula…

cs.CL2023

Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study

Mingxu Tao, Yansong Feng, Dongyan Zhao

Large pre-trained language models help to achieve state of the art on a variety of natural language processing (NLP) tasks, nevertheless, they still suffer from forgetting when inc…

cs.CL2023

Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension

Chen Zhang, Yuxuan Lai, Yansong Feng +3

Although many large-scale knowledge bases (KBs) claim to contain multilingual information, their support for many non-English languages is often incomplete. This incompleteness giv…