2 citations · 3 across the 3 of their papers we have counts for
9 papers
Best- Search Algorithm for Neural Text Generation
Jiacheng Xu, Caiming Xiong, Silvio Savarese +1
Modern natural language generation paradigms require a good decoding strategy to obtain quality sequences out of the model. Beam search yields high-quality but low diversity output…
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors
Yik-Cheung Tam, Jiacheng Xu, Jiakai Zou +3
Performance of spoken language understanding (SLU) can be degraded with automatic speech recognition (ASR) errors. We propose a novel approach to improve SLU robustness by randomly…
Prototype-Aware Heterogeneous Task for Point Cloud Completion
Junshu Tang, Jiachen Xu, Jingyu Gong +3
Point cloud completion, which aims at recovering original shape information from partial point clouds, has attracted attention on 3D vision community. Existing methods usually succ…
Compressive Summarization with Plausibility and Salience Modeling
Shrey Desai, Jiacheng Xu, Greg Durrett
Compressive summarization systems typically rely on a crafted set of syntactic rules to determine what spans of possible summary sentences can be deleted, then learn a model of wha…
Understanding Neural Abstractive Summarization Models via Uncertainty
Jiacheng Xu, Shrey Desai, Greg Durrett
An advantage of seq2seq abstractive summarization models is that they generate text in a free-form manner, but this flexibility makes it difficult to interpret model behavior. In t…
Discourse-Aware Neural Extractive Text Summarization
Jiacheng Xu, Zhe Gan, Yu Cheng +1
Recently BERT has been adopted for document encoding in state-of-the-art text summarization models. However, sentence-based extractive models often result in redundant or uninforma…