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Wanshi Xu

5 accepted papers

2025

iSegMan: Interactive Segment-and-Manipulate 3D Gaussians

CVPR 2025poster

The efficient rendering and explicit nature of 3DGS promote the advancement of 3D scene manipulation.However, existing methods typically encounter challenges in controlling the manipulation region and are unable to furnish the user with interactive feedback, which inevitably leads to unexpected resu…

Cited by 0SourcePDFScholar
2024

Learning to Match Representations is Better for End-to-End Task-Oriented Dialog System

EMNLP 2024finding

Due to the rapid development with pre-trained language models, fully end-to-end Task-Oriented Dialogue (TOD) systems exhibit superior performance. How to achieve the ability to efficiently retrieve entities in cross-domain large-scale databases is a key issue. Most existing end-to-end Task-Oriented…

Cited by 0SourcePDFScholar
2024

Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System

EMNLP 2024main

Retrieving accurate domain knowledge and providing helpful information are crucial in developing an effective end-to-end task-oriented dialogue system (E2ETOD). The field has witnessed numerous methods following the retrieve-then-generate paradigm and training their systems on one specific domain. H…

Cited by 1SourcePDFScholar
2024

What are the Generator Preferences for End-to-end Task-Oriented Dialog System?

EMNLP 2024main

Fully end-to-end task-oriented dialogue (EToD) systems have shown excellent performance, which requires the ability to retrieve entities accurately for generation. Existing methods improve the accuracy of entity retrieval and construct data flows between retrieval results and response generator, ach…

Cited by 0SourcePDFScholar
2023

Accelerating Multiple Intent Detection and Slot Filling via Targeted Knowledge Distillation

EMNLP 2023long findings

Recent non-autoregressive Spoken Language Understanding (SLU) models attracts increasing attention owing to the high inference speed. However, most of them still (1) suffer from the multi-modality problem since the prior knowledge about the reference is relatively poor during inference; (2) fail to…

Cited by 0SourceScholar