Search Results for author: Kuo Liao

Found 6 papers, 3 papers with code

Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding

1 code implementation30 May 2024 Kuo Liao, Shuang Li, Meng Zhao, Liqun Liu, Mengge Xue, Zhenyu Hu, Honglin Han, Chengguo Yin

To address this limitation, we propose a novel Reinforcement Learning framework enhanced with Label-sensitive Reward (RLLR) to amplify the performance of LLMs in NLU tasks.

Natural Language Understanding reinforcement-learning

CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision

no code implementations21 Jul 2021 Zhongyang Li, Xiao Ding, Kuo Liao, Bing Qin, Ting Liu

Recent work has shown success in incorporating pre-trained models like BERT to improve NLP systems.

Causal Inference

Event Representation Learning Enhanced with External Commonsense Knowledge

1 code implementation IJCNLP 2019 Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan

Prior work has proposed effective methods to learn event representations that can capture syntactic and semantic information over text corpus, demonstrating their effectiveness for downstream tasks such as script event prediction.

Representation Learning Stock Market Prediction

ELG: An Event Logic Graph

no code implementations18 Jul 2019 Xiao Ding, Zhongyang Li, Ting Liu, Kuo Liao

The evolution and development of events have their own basic principles, which make events happen sequentially.

Decision Making

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