activity
20202026
most citedVAE based Text Style Transfer with Pivot Words Enhancement Learning

5 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Feedback Control for Multi-Objective Graph Self-Supervision

Karish Grover, Theodore Vasiloudis, Han Xie +3

Can multi-task self-supervised learning on graphs be coordinated without the usual tug-of-war between objectives? Graph self-supervised learning (SSL) offers a growing toolbox of p…

cs.CL2024

MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning

Yichuan Li, Xiyao Ma, Sixing Lu +3

Large Language models (LLMs) have demonstrated impressive in-context learning (ICL) capabilities, where a LLM makes predictions for a given test input together with a few input-out…

cs.CL2023

CLICKER: Attention-Based Cross-Lingual Commonsense Knowledge Transfer

Ruolin Su, Zhongkai Sun, Sixing Lu +2

Recent advances in cross-lingual commonsense reasoning (CSR) are facilitated by the development of multilingual pre-trained models (mPTMs). While mPTMs show the potential to encode…

cs.IR2022★ 3 cited

Query Expansion and Entity Weighting for Query Reformulation Retrieval in Voice Assistant Systems

Zhongkai Sun, Sixing Lu, Chengyuan Ma +2

Voice assistants such as Alexa, Siri, and Google Assistant have become increasingly popular worldwide. However, linguistic variations, variability of speech patterns, ambient acous…

cs.CL2021★ 5 cited

VAE based Text Style Transfer with Pivot Words Enhancement Learning

Haoran Xu, Sixing Lu, Zhongkai Sun +2

Text Style Transfer (TST) aims to alter the underlying style of the source text to another specific style while keeping the same content. Due to the scarcity of high-quality parall…

cs.CL2020★ 1 cited

Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems

Yunmo Chen, Sixing Lu, Fan Yang +3

Query rewriting (QR) systems are widely used to reduce the friction caused by errors in a spoken language understanding pipeline. However, the underlying supervised models require…