Search Results for author:
Found 8 papers, 2 papers with code
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities
The proposed pre-training models of different modalities are showing a rising trend of homogeneity in their model structures, which brings the opportunity to implement different pre-training models within a uniform framework.
Inefficient Peace or Preventive War?
We study a model of two-player bargaining game in the shadow of a preventive trade war that examines why states deliberately maintain trade barriers in the age of globalization.
The Politics of (No) Compromise: Information Acquisition, Policy Discretion, and Reputation
Typically, decision-makers with career concerns have weaker incentives to acquire information compared to decision-makers without such concerns.
Domestic Constraints in Crisis Bargaining
I study how political bias and audience costs impose domestic institutional constraints that affect states' capacity to reach peaceful agreements during crises.
Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
This paper introduces a novel multi-task model called Mixture of Virtual-Kernel Experts (MVKE) to learn user preferences on various actions and topics unitedly.
Accountability and Motivation
We build a formal model that examines how different policymaking environments shape career-concerned officials' reform decisions and implementation.
Keyphrase Extraction with Span-based Feature Representations
In addition, with the help of tokens, our model is able to extract overlapped keyphrases.
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
In this paper, we introduce NeuralClassifier, a toolkit for neural hierarchical multi-label text classification.
General Classification
Hierarchical Multi-label Classification
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