Search Results for author: Zichen Liu

Found 8 papers, 5 papers with code

TEMP: Taxonomy Expansion with Dynamic Margin Loss through Taxonomy-Paths

1 code implementation EMNLP 2021 Zichen Liu, Hongyuan Xu, Yanlong Wen, Ning Jiang, Haiying Wu, Xiaojie Yuan

As an essential form of knowledge representation, taxonomies are widely used in various downstream natural language processing tasks.

Position Taxonomy Expansion

Locality Sensitive Sparse Encoding for Learning World Models Online

no code implementations23 Jan 2024 Zichen Liu, Chao Du, Wee Sun Lee, Min Lin

Unfortunately, NN-based models need re-training on all accumulated data at every interaction step to achieve FTL, which is computationally expensive for lifelong agents.

Continual Learning Model-based Reinforcement Learning

AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes

no code implementations11 Dec 2023 Zehao Wen, Zichen Liu, Srinath Sridhar, Rao Fu

We introduce AnyHome, a framework that translates open-vocabulary descriptions, ranging from simple labels to elaborate paragraphs, into well-structured and textured 3D indoor scenes at a house-scale.

TreeMAN: Tree-enhanced Multimodal Attention Network for ICD Coding

1 code implementation COLING 2022 Zichen Liu, Xuyuan Liu, Yanlong Wen, Guoqing Zhao, Fen Xia, Xiaojie Yuan

However, most previous works ignore the decisive information contained in structured medical data in EHRs, which is hard to be captured from the noisy clinical notes.

Adversarial Demonstration Attacks on Large Language Models

no code implementations24 May 2023 Jiongxiao Wang, Zichen Liu, Keun Hee Park, Zhuojun Jiang, Zhaoheng Zheng, Zhuofeng Wu, Muhao Chen, Chaowei Xiao

We propose a novel attack method named advICL, which aims to manipulate only the demonstration without changing the input to mislead the models.

In-Context Learning

Efficient Offline Policy Optimization with a Learned Model

1 code implementation12 Oct 2022 Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu

Instead of planning with the expensive MCTS, we use the learned model to construct an advantage estimation based on a one-step rollout.

Offline RL

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