Search Results for author: Yicheng Zou

Found 18 papers, 14 papers with code

Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks

1 code implementation COLING 2022 Xin Zhou, Ruotian Ma, Yicheng Zou, Xuanting Chen, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu

Specifically, we re-formulate both token and sentence classification tasks into a unified language modeling task, and map label spaces of different tasks into the same vocabulary space.

Language Modelling Sentence +2

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback

1 code implementation21 Jan 2024 Songyang Gao, Qiming Ge, Wei Shen, Shihan Dou, Junjie Ye, Xiao Wang, Rui Zheng, Yicheng Zou, Zhi Chen, Hang Yan, Qi Zhang, Dahua Lin

This reliance limits the applicability of RLHF and hinders the development of professional assistants tailored to diverse human preferences.

Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning

no code implementations3 Jan 2023 Xiaoyang Chen, Jinjian Wu, Wenjiao Lyu, Yicheng Zou, Kim-Han Thung, Siyuan Liu, Ye Wu, Sahar Ahmad, Pew-Thian Yap

In this paper, we make the first attempt to segment brain tissues across the entire human lifespan (0-100 years of age) using a unified deep learning model.

Contrastive Learning Segmentation +1

Towards Understanding Omission in Dialogue Summarization

1 code implementation14 Nov 2022 Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui

By analyzing this dataset, we find that a large improvement in summarization quality can be achieved by providing ground-truth omission labels for the summarization model to recover omission information, which demonstrates the importance of omission detection for omission mitigation in dialogue summarization.

Increasing Visual Awareness in Multimodal Neural Machine Translation from an Information Theoretic Perspective

no code implementations16 Oct 2022 Baijun Ji, Tong Zhang, Yicheng Zou, Bojie Hu, Si Shen

Multimodal machine translation (MMT) aims to improve translation quality by equipping the source sentence with its corresponding image.

Multimodal Machine Translation Sentence +1

Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling

1 code implementation25 May 2022 Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li

Previous works on sentence scoring mainly adopted either causal language modeling (CLM) like GPT or masked language modeling (MLM) like BERT, which have some limitations: 1) CLM only utilizes unidirectional information for the probability estimation of a sentence without considering bidirectional context, which affects the scoring quality; 2) MLM can only estimate the probability of partial tokens at a time and thus requires multiple forward passes to estimate the probability of the whole sentence, which incurs large computation and time cost.

Causal Language Modeling Language Modelling +2

Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents

1 code implementation Findings (ACL) 2022 Yicheng Zou, Hongwei Liu, Tao Gui, Junzhe Wang, Qi Zhang, Meng Tang, Haixiang Li, Daniel Wang

Text semantic matching is a fundamental task that has been widely used in various scenarios, such as community question answering, information retrieval, and recommendation.

Community Question Answering Information Retrieval +2

Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining

1 code implementation EMNLP 2021 Yicheng Zou, Bolin Zhu, Xingwu Hu, Tao Gui, Qi Zhang

With the rapid increase in the volume of dialogue data from daily life, there is a growing demand for dialogue summarization.

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling

1 code implementation14 Dec 2020 Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu

In a customer service system, dialogue summarization can boost service efficiency by automatically creating summaries for long spoken dialogues in which customers and agents try to address issues about specific topics.

A Lexicon-Based Graph Neural Network for Chinese NER

no code implementations IJCNLP 2019 Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang

Recurrent neural networks (RNN) used for Chinese named entity recognition (NER) that sequentially track character and word information have achieved great success.

Chinese Named Entity Recognition named-entity-recognition +3

Cannot find the paper you are looking for? You can Submit a new open access paper.