Search Results for author: Xiaolin Chen

Found 9 papers, 2 papers with code

CodeS: Natural Language to Code Repository via Multi-Layer Sketch

2 code implementations25 Mar 2024 Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui

For feedback-based evaluation, we develop a VSCode plugin for CodeS and engage 30 participants in conducting empirical studies.


Interactive Garment Recommendation with User in the Loop

no code implementations18 Feb 2024 Federico Becattini, Xiaolin Chen, Andrea Puccia, Haokun Wen, Xuemeng Song, Liqiang Nie, Alberto del Bimbo

Recommending fashion items often leverages rich user profiles and makes targeted suggestions based on past history and previous purchases.


Enhancing LLM with Evolutionary Fine Tuning for News Summary Generation

no code implementations6 Jul 2023 Le Xiao, Xiaolin Chen

A News Summary Generator (NSG) is designed to select and evolve the event pattern populations and generate news summaries.

Natural Language Understanding

Dual Semantic Knowledge Composed Multimodal Dialog Systems

no code implementations17 May 2023 Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua

Thereafter, considering that the attribute knowledge and relation knowledge can benefit the responding to different levels of questions, we design a multi-level knowledge composition module in MDS-S2 to obtain the latent composed response representation.

Attribute Relation +1

Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model

no code implementations16 Jul 2022 Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu, Liqiang Nie

To address these limitations, we propose a novel dual knowledge-enhanced generative pretrained language model for multimodal task-oriented dialog systems (DKMD), consisting of three key components: dual knowledge selection, dual knowledge-enhanced context learning, and knowledge-enhanced response generation.

Decoder Language Modelling +1

Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning

no code implementations20 May 2021 Xiaolin Chen, Shuai Zhou, Bei guan, Kai Yang, Hao Fan, Hu Wang, Yongji Wang

With this key observation, we protect data privacy and allow the disclosure of feature meaning by concealing decision paths and adapt a communication-efficient secure computation method for inference outputs.

BIG-bench Machine Learning Privacy Preserving +1

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