Search Results for author: Lulu Zhao

Found 10 papers, 3 papers with code

Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization

no code implementations Findings (EMNLP) 2021 Lulu Zhao, Weihao Zeng, Weiran Xu, Jun Guo

Abstractive dialogue summarization suffers from a lots of factual errors, which are due to scattered salient elements in the multi-speaker information interaction process.

Abstractive Dialogue Summarization Contrastive Learning

Aqulia-Med LLM: Pioneering Full-Process Open-Source Medical Language Models

no code implementations18 Jun 2024 Lulu Zhao, Weihao Zeng, Xiaofeng Shi, Hua Zhou, Donglin Hao, Yonghua Lin

We construct a large-scale Chinese and English medical dataset for continue pre-training and a high-quality SFT dataset, covering extensive medical specialties.


Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition

no code implementations22 Oct 2023 Hongxiang Gao, Xiangyao Wang, Zhenghua Chen, Min Wu, Zhipeng Cai, Lulu Zhao, Jianqing Li, Chengyu Liu

To address these challenges, this study introduces the distribution-based uncertainty method to represent spatial dependencies and temporal-spectral relativeness in EEG signals based on Graph Convolutional Network (GCN) architecture that adaptively assigns weights to functional aggregate node features, enabling effective long-path capturing while mitigating over-smoothing phenomena.

EEG Emotion Recognition

Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation

1 code implementation17 Jun 2023 Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu

In this paper, we explore the compositional generalization for multi-attribute controllable dialogue generation where a model can learn from seen attribute values and generalize to unseen combinations.

Attribute Dialogue Generation +1

Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization

1 code implementation NAACL 2022 Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu

The most advanced abstractive dialogue summarizers lack generalization ability on new domains and the existing researches for domain adaptation in summarization generally rely on large-scale pre-trainings.

Domain Adaptation

TODSum: Task-Oriented Dialogue Summarization with State Tracking

no code implementations25 Oct 2021 Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng

Previous dialogue summarization datasets mainly focus on open-domain chitchat dialogues, while summarization datasets for the broadly used task-oriented dialogue haven't been explored yet.

Shock Propagation and Associated Particle Acceleration in the Presence of Ambient Solar-Wind Turbulence

no code implementations11 Feb 2021 Fan Guo, Joe Giacalone, Lulu Zhao

The topic of this review paper is on the influence of solar wind turbulence on shock propagation and its consequence on the acceleration and transport of energetic particles at shocks.

Solar and Stellar Astrophysics High Energy Astrophysical Phenomena Plasma Physics Space Physics

Improving Abstractive Dialogue Summarization with Conversational Structure and Factual Knowledge

no code implementations1 Jan 2021 Lulu Zhao, Zeyuan Yang, Weiran Xu, Sheng Gao, Jun Guo

In this paper, we present a Knowledge Graph Enhanced Dual-Copy network (KGEDC), a novel framework for abstractive dialogue summarization with conversational structure and factual knowledge.

Abstractive Dialogue Summarization Sentence

Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words

no code implementations COLING 2020 Lulu Zhao, Weiran Xu, Jun Guo

A masked graph self-attention mechanism is used to integrate cross-sentence information flows and focus more on the related utterances, which makes it better to understand the dialogue.

Abstractive Dialogue Summarization Graph Attention +1

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