Search Results for author: Yuyang Xie

Found 6 papers, 5 papers with code

R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models

1 code implementation17 Jun 2024 Shangqing Tu, Yuanchun Wang, Jifan Yu, Yuyang Xie, Yaran Shi, Xiaozhi Wang, Jing Zhang, Lei Hou, Juanzi Li

In this paper, we address the challenges of evaluating RALLMs by introducing the R-Eval toolkit, a Python toolkit designed to streamline the evaluation of different RAG workflows in conjunction with LLMs.

Retrieval

A Solution-based LLM API-using Methodology for Academic Information Seeking

1 code implementation24 May 2024 Yuanchun Wang, Jifan Yu, Zijun Yao, Jing Zhang, Yuyang Xie, Shangqing Tu, Yiyang Fu, Youhe Feng, Jinkai Zhang, Jingyao Zhang, Bowen Huang, Yuanyao Li, Huihui Yuan, Lei Hou, Juanzi Li, Jie Tang

Applying large language models (LLMs) for academic API usage shows promise in reducing researchers' academic information seeking efforts.

Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding

no code implementations5 Feb 2024 Yasar Abbas Ur Rehman, Kin Wai Lau, Yuyang Xie, Lan Ma, Jiajun Shen

The integration of Federated Learning (FL) and Self-supervised Learning (SSL) offers a unique and synergetic combination to exploit the audio data for general-purpose audio understanding, without compromising user data privacy.

Federated Learning Retrieval +1

AudioInceptionNeXt: TCL AI LAB Submission to EPIC-SOUND Audio-Based-Interaction-Recognition Challenge 2023

1 code implementation14 Jul 2023 Kin Wai Lau, Yasar Abbas Ur Rehman, Yuyang Xie, Lan Ma

This report presents the technical details of our submission to the 2023 Epic-Kitchen EPIC-SOUNDS Audio-Based Interaction Recognition Challenge.

Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA

1 code implementation4 Sep 2020 Xiangyun Ding, Wenjian Yu, Yuyang Xie, Shenghua Liu

The proposed model-based CF approach is able to efficiently process the MovieLens data with 20M ratings and exhibits more than 10X speedup over the regularized matrix factorization based approach [2] and the fast singular value thresholding approach [3] with comparable or better accuracy.

Collaborative Filtering Matrix Completion +1

Fast Randomized PCA for Sparse Data

2 code implementations16 Oct 2018 Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang

The algorithm has similar accuracy to the basic randomized SVD (rPCA) algorithm (Halko et al., 2011), but is largely optimized for sparse data.

Dimensionality Reduction Information Retrieval +1

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