2 code implementations • 11 Apr 2024 • Tao Duan, Junzhou Zhao, Shuo Zhang, Jing Tao, Pinghui Wang
To address this problem, we propose a novel method, i. e., Key-Value sequence Early Co-classification (KVEC), which leverages both inner- and inter-correlations of items in a tangled key-value sequence through key correlation and value correlation to learn a better sequence representation.
no code implementations • 21 Jul 2023 • Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao
Specifically, we first provide an overview of the development process of datasets from in-distribution and out-of-distribution perspectives.
no code implementations • 23 May 2023 • Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang
Large language models often necessitate grounding on external knowledge to generate faithful and reliable answers.
no code implementations • 27 Feb 2023 • Shuo Zhang, Junzhou Zhao, Pinghui Wang, Tianxiang Wang, Zi Liang, Jing Tao, Yi Huang, Junlan Feng
To cope with this problem, we explore to improve multi-action dialog policy learning with explicit and implicit turn-level user feedback received for historical predictions (i. e., logged user feedback) that are cost-efficient to collect and faithful to real-world scenarios.
no code implementations • 10 Feb 2023 • Yuanming Zhang, Pinghui Wang, Yiyan Qi, Kuankuan Cheng, Junzhou Zhao, Guangjian Tian, Xiaohong Guan
The well-known Gumbel-Max Trick for sampling elements from a categorical distribution (or more generally a non-negative vector) and its variants have been widely used in areas such as machine learning and information retrieval.
no code implementations • 26 Jan 2023 • Runze Lei, Pinghui Wang, Junzhou Zhao, Lin Lan, Jing Tao, Chao Deng, Junlan Feng, Xidian Wang, Xiaohong Guan
In this work, we propose a novel FL framework for graph data, FedCog, to efficiently handle coupled graphs that are a kind of distributed graph data, but widely exist in a variety of real-world applications such as mobile carriers' communication networks and banks' transaction networks.
1 code implementation • 25 Apr 2022 • Shuo Zhang, Junzhou Zhao, Pinghui Wang, Yu Li, Yi Huang, Junlan Feng
Multi-action dialog policy (MADP), which generates multiple atomic dialog actions per turn, has been widely applied in task-oriented dialog systems to provide expressive and efficient system responses.
1 code implementation • 15 Dec 2020 • Shuo Zhang, Junzhou Zhao, Pinghui Wang, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, Junlan Feng
This will result in the issue of contract inconsistencies, which may severely impair the legal validity of the contract.
1 code implementation • ACL 2020 • Nuo Xu, Pinghui Wang, Long Chen, Li Pan, Xiaoyan Wang, Junzhou Zhao
Legal Judgment Prediction (LJP) is the task of automatically predicting a law case's judgment results given a text describing its facts, which has excellent prospects in judicial assistance systems and convenient services for the public.
no code implementations • 2 Feb 2020 • Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan
Instead of computing $k$ independent Gumbel random variables directly, we find that there exists a technique to generate these variables in descending order.
2 code implementations • 23 May 2019 • Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao
To resolve these problems, we present MR-GNN, an end-to-end graph neural network with the following features: i) it uses a multi-resolution based architecture to extract node features from different neighborhoods of each node, and, ii) it uses dual graph-state long short-term memory networks (L-STMs) to summarize local features of each graph and extracts the interaction features between pairwise graphs.
no code implementations • 14 Jul 2013 • Junzhou Zhao
Constrained connection is the phenomenon that a reviewer can only review a subset of products/services due to narrow range of interests or limited attention capacity.