Search Results for author: Yu Xia

Found 15 papers, 5 papers with code

A Transition-based Method for Complex Question Understanding

no code implementations COLING 2022 Yu Xia, Wenbin Jiang, Yajuan Lyu, Sujian Li

Existing works are based on end-to-end neural models which do not explicitly model the intermediate states and lack interpretability for the parsing process.

Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples

no code implementations Findings (ACL) 2022 Yu Xia, Quan Wang, Yajuan Lyu, Yong Zhu, Wenhao Wu, Sujian Li, Dai Dai

However, the existing method depends on the relevance between tasks and is prone to inter-type confusion. In this paper, we propose a novel two-stage framework Learn-and-Review (L&R) for continual NER under the type-incremental setting to alleviate the above issues. Specifically, for the learning stage, we distill the old knowledge from teacher to a student on the current dataset.

Continual Named Entity Recognition named-entity-recognition +2

Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits

no code implementations11 Mar 2024 Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li

In this paper, we propose a time-increasing bandit algorithm TI-UCB, which effectively predicts the increase of model performances due to finetuning and efficiently balances exploration and exploitation in model selection.

Change Detection Model Selection

RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation

1 code implementation21 Dec 2023 Yu Xia, Ali Arian, Sriram Narayanamoorthy, Joshua Mabry

Significant research effort has been devoted in recent years to developing personalized pricing, promotions, and product recommendation algorithms that can leverage rich customer data to learn and earn.

Benchmarking Product Recommendation +1

M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning

no code implementations3 Sep 2023 Yuanyuan Guo, Yu Xia, Rui Wang, Rongcheng Duan, Lu Li, Jiangmeng Li

Orthogonal to homogeneous graphs, the types of nodes and edges in heterogeneous graphs are diverse so that specialized graph contrastive learning methods are required.

Contrastive Learning

Contrastive Bootstrapping for Label Refinement

1 code implementation7 Jun 2023 Shudi Hou, Yu Xia, Muhao Chen, Sujian Li

Traditional text classification typically categorizes texts into pre-defined coarse-grained classes, from which the produced models cannot handle the real-world scenario where finer categories emerge periodically for accurate services.

Clustering text-classification +1

The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

no code implementations26 Apr 2023 Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou

Large language models (LLMs) are known for their exceptional performance in natural language processing, making them highly effective in many human life-related or even job-related tasks.

In-Context Learning regression

Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models

1 code implementation25 Oct 2022 Aaron Mueller, Yu Xia, Tal Linzen

However, much of this analysis has focused on monolingual models, and analyses of multilingual models have employed correlational methods that are confounded by the choice of probing tasks.

counterfactual

Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English

1 code implementation7 Jan 2021 Xiangyang Li, Yu Xia, Xiang Long, Zheng Li, Sujian Li

In this paper, we describe our system for the AAAI 2021 shared task of COVID-19 Fake News Detection in English, where we achieved the 3rd position with the weighted F1 score of 0. 9859 on the test set.

Fake News Detection Position

Cluster Analysis of High-Dimensional scRNA Sequencing Data

no code implementations18 Dec 2019 Jiawei Long, Yu Xia

With ongoing developments and innovations in single-cell RNA sequencing methods, advancements in sequencing performance could empower significant discoveries as well as new emerging possibilities to address biological and medical investigations.

Clustering Vocal Bursts Intensity Prediction

Weighted total variation based convex clustering

no code implementations28 Aug 2018 Guodong Xu, Yu Xia, Hui Ji

Data clustering is a fundamental problem with a wide range of applications.

Clustering

Efficient Clustering with Limited Distance Information

no code implementations9 Aug 2014 Konstantin Voevodski, Maria-Florina Balcan, Heiko Roglin, Shang-Hua Teng, Yu Xia

Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points.

Clustering

Head Pose Estimation Based on Multivariate Label Distribution

no code implementations CVPR 2014 Xin Geng, Yu Xia

Accurate ground truth pose is essential to the training of most existing head pose estimation algorithms.

Head Pose Estimation

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