Search Results for author: Huimin Chen

Found 6 papers, 3 papers with code

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment

no code implementations29 Feb 2024 Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun

In practice, the multifaceted nature of human preferences inadvertently introduces what is known as the "alignment tax" -a compromise where enhancements in alignment within one objective (e. g., harmlessness) can diminish performance in others (e. g., helpfulness).

Navigate

Exploration into Optimal State Estimation with Event-triggered Communication

no code implementations15 Sep 2023 Xiaolei Bian, Huimin Chen, X. Rong Li

This paper deals with the problem of remote estimation of the state of a discrete-time stochastic linear system observed by a sensor with computational capacity to calculate local estimates.

Country Image in COVID-19 Pandemic: A Case Study of China

1 code implementation12 Sep 2020 Huimin Chen, Zeyu Zhu, Fanchao Qi, Yining Ye, Zhiyuan Liu, Maosong Sun, Jianbin Jin

Therefore, in this study, we take China as a specific and typical case and investigate its image with aspect-based sentiment analysis on a large-scale Twitter dataset.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)

Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System

no code implementations ACL 2019 Guo Zhipeng, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Jiannan Liang, Huimin Chen, Yuhui Zhang, Ruoyu Li

By exposing the options of poetry genres, styles and revision modes, Jiuge, acting as a professional assistant, allows constant and active participation of users in poetic creation.

Cultural Vocal Bursts Intensity Prediction

Enhancing Stock Movement Prediction with Adversarial Training

1 code implementation13 Oct 2018 Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua

The key novelty is that we propose to employ adversarial training to improve the generalization of a neural network prediction model.

Stock Prediction

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