Search Results for author: Xiaoling Wang

Found 23 papers, 8 papers with code

GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning

no code implementations EMNLP 2021 Wei Zhu, Xiaoling Wang, Yuan Ni, Guotong Xie

From this observation, we use mutual learning to improve BERT’s early exiting performances, that is, we ask each exit of a multi-exit BERT to distill knowledge from each other.

Knowledge Distillation

Fine-Grained Detoxification via Instance-Level Prefixes for Large Language Models

no code implementations23 Feb 2024 Xin Yi, LinLin Wang, Xiaoling Wang, Liang He

In this paper, we propose fine-grained detoxification via instance-level prefixes (FGDILP) to mitigate toxic text without additional cost.

Text Generation

Complementary Information Mutual Learning for Multimodality Medical Image Segmentation

no code implementations5 Jan 2024 Chuyun Shen, Wenhao Li, Haoqing Chen, Xiaoling Wang, Fengping Zhu, Yuxin Li, Xiangfeng Wang, Bo Jin

CIML adopts the idea of addition and removes inter-modal redundant information through inductive bias-driven task decomposition and message passing-based redundancy filtering.

Image Segmentation Inductive Bias +4

Text2MDT: Extracting Medical Decision Trees from Medical Texts

1 code implementation4 Jan 2024 Wei Zhu, Wenfeng Li, Xing Tian, Pengfei Wang, Xiaoling Wang, Jin Chen, Yuanbin Wu, Yuan Ni, Guotong Xie

In this work, we propose a novel task, Text2MDT, to explore the automatic extraction of MDTs from medical texts such as medical guidelines and textbooks.

Overview of the PromptCBLUE Shared Task in CHIP2023

1 code implementation29 Dec 2023 Wei Zhu, Xiaoling Wang, Mosha Chen, Buzhou Tang

Many teams from both the industry and academia participated in the shared tasks, and the top teams achieved amazing test results.

In-Context Learning

PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

1 code implementation22 Oct 2023 Wei Zhu, Xiaoling Wang, Huanran Zheng, Mosha Chen, Buzhou Tang

Biomedical language understanding benchmarks are the driving forces for artificial intelligence applications with large language model (LLM) back-ends.

Dialogue Generation Dialogue Understanding +6

Unified Demonstration Retriever for In-Context Learning

1 code implementation7 May 2023 Xiaonan Li, Kai Lv, Hang Yan, Tianyang Lin, Wei Zhu, Yuan Ni, Guotong Xie, Xiaoling Wang, Xipeng Qiu

To train UDR, we cast various tasks' training signals into a unified list-wise ranking formulation by language model's feedback.

In-Context Learning Language Modelling +1

Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation

1 code implementation27 Jan 2023 Huanran Zheng, Wei Zhu, Pengfei Wang, Xiaoling Wang

In this paper, we propose a simple but effective method called "Candidate Soups," which can obtain high-quality translations while maintaining the inference speed of NAT models.

Translation

Forgetting Fast in Recommender Systems

no code implementations14 Aug 2022 Wenyan Liu, Juncheng Wan, Xiaoling Wang, Weinan Zhang, Dell Zhang, Hang Li

In this paper, we investigate fast machine unlearning techniques for recommender systems that can remove the effect of a small amount of training data from the recommendation model without incurring the full cost of retraining.

Machine Unlearning Recommendation Systems

Micro-Behavior Encoding for Session-based Recommendation

no code implementations5 Apr 2022 Jiahao Yuan, Wendi Ji, Dell Zhang, Jinwei Pan, Xiaoling Wang

Specifically, we identify two different patterns of micro-behaviors: "sequential patterns" and "dyadic relational patterns".

Session-Based Recommendations

Community Trend Prediction on Heterogeneous Graph in E-commerce

no code implementations24 Feb 2022 Jiahao Yuan, Zhao Li, Pengcheng Zou, Xuan Gao, Jinwei Pan, Wendi Ji, Xiaoling Wang

In online shopping, ever-changing fashion trends make merchants need to prepare more differentiated products to meet the diversified demands, and e-commerce platforms need to capture the market trend with a prophetic vision.

Attribute

Discovering Better Model Architectures for Medical Query Understanding

no code implementations NAACL 2021 Wei Zhu, Yuan Ni, Xiaoling Wang, Guotong Xie

In developing an online question-answering system for the medical domains, natural language inference (NLI) models play a central role in question matching and intention detection.

Natural Language Inference Neural Architecture Search +2

Fair Differential Privacy Can Mitigate the Disparate Impact on Model Accuracy

no code implementations1 Jan 2021 Wenyan Liu, Xiangfeng Wang, Xingjian Lu, Junhong Cheng, Bo Jin, Xiaoling Wang, Hongyuan Zha

This paper proposes a fair differential privacy algorithm (FairDP) to mitigate the disparate impact on model accuracy for each class.

Fairness

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

1 code implementation3 Nov 2020 Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen

In this library, we implement 73 recommendation models on 28 benchmark datasets, covering the categories of general recommendation, sequential recommendation, context-aware recommendation and knowledge-based recommendation.

Collaborative Filtering Sequential Recommendation

AutoTrans: Automating Transformer Design via Reinforced Architecture Search

3 code implementations4 Sep 2020 Wei Zhu, Xiaoling Wang, Xipeng Qiu, Yuan Ni, Guotong Xie

Though the transformer architectures have shown dominance in many natural language understanding tasks, there are still unsolved issues for the training of transformer models, especially the need for a principled way of warm-up which has shown importance for stable training of a transformer, as well as whether the task at hand prefer to scale the attention product or not.

Natural Language Understanding Navigate

Sequential Recommender via Time-aware Attentive Memory Network

no code implementations18 May 2020 Wendi Ji, Keqiang Wang, Xiaoling Wang, TingWei Chen, Alexandra Cristea

Recommendation systems aim to assist users to discover most preferred contents from an ever-growing corpus of items.

Recommendation Systems Retrieval

Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network

no code implementations20 Feb 2020 Yuanyuan Jin, Wei zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang

Given a set of symptoms to treat, we aim to generate an overall syndrome representation by effectively fusing the embeddings of all the symptoms in the set, to mimic how a doctor induces the syndromes.

Probabilistic Verb Selection for Data-to-Text Generation

no code implementations TACL 2018 Dell Zhang, Jiahao Yuan, Xiaoling Wang, Adam Foster

In data-to-text Natural Language Generation (NLG) systems, computers need to find the right words to describe phenomena seen in the data.

Data-to-Text Generation

Quantitative Analysis of Particles Segregation

no code implementations19 Nov 2015 Ting Peng, Aiping Qu, Xiaoling Wang

Then, the whole picture of particles is splintered to small rectangles with the same shape.

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