no code implementations • 22 Dec 2023 • Liwei Ni, Zonglin Yang, Jiaxi Zhang, Junfeng Liu, Huawei Li, Biwei Xie, Xinquan Li
Rewriting is a common procedure in logic synthesis aimed at improving the performance, power, and area (PPA) of circuits.
no code implementations • 22 Oct 2023 • Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria
We connect the surveyed tasks with downstream applications because this may inspire future scholars to fuse these low-level semantic processing tasks with high-level natural language processing tasks.
1 code implementation • 6 Sep 2023 • Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria
Hypothetical induction is recognized as the main reasoning type when scientists make observations about the world and try to propose hypotheses to explain those observations.
2 code implementations • 22 May 2023 • Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria
Specifically, the heads of MHA were originally designed to attend to information from different representation subspaces, whereas prior studies found that some attention heads likely learn similar features and can be pruned without harming performance.
1 code implementation • 21 Mar 2023 • Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria
This paper provides a comprehensive overview on a new paradigm of logical reasoning, which uses natural language as knowledge representation and pretrained language models as reasoners, including philosophical definition and categorization of logical reasoning, advantages of the new paradigm, benchmarks and methods, challenges of the new paradigm, possible future directions, and relation to related NLP fields.
1 code implementation • 21 Dec 2022 • Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
To this end, we propose a new paradigm (task) for inductive reasoning, which is to induce natural language rules from natural language facts, and create a dataset termed DEER containing 1. 2k rule-fact pairs for the task, where rules and facts are written in natural language.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Zonglin Yang, Xinya Du, Alexander Rush, Claire Cardie
End-to-end models in NLP rarely encode external world knowledge about length of time.
no code implementations • 25 Mar 2019 • Zonglin Yang, Xinggang Wang
Capsule network has shown various advantages over convolutional neural network (CNN).