Xing Wu

HTARF: A Hybrid Tourist Attraction Recommendation Framework for Trip Scheduling

2018

As the users' demand for efficient and personalized services grows continuously, online tourism services are becoming more and more popular. However, many tourism products can only recommend existing tourist packages according to users' profile, which …

MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition

2022 · Algorithms

Large-scale automatic speech recognition model has achieved impressive performance. However, huge computational resources and massive amount of data are required to train an ASR model. Knowledge distillation is a prevalent model compression method which transfers …

Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval

2023 · arXiv (Cornell University)

In this paper, we systematically study the potential of pre-training with Large Language Model(LLM)-based document expansion for dense passage retrieval. Concretely, we leverage the capabilities of LLMs for document expansion, i.e. query generation, and effectively …

ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding

2021 · arXiv (Cornell University)

Contrastive learning has been attracting much attention for learning unsupervised sentence embeddings. The current state-of-the-art unsupervised method is the unsupervised SimCSE (unsup-SimCSE). Unsup-SimCSE takes dropout as a minimal data augmentation method, and passes the same …