6 citations · 14 across the 10 of their papers we have counts for
10 papers
DiffATR: Diffusion-based Generative Modeling for Audio-Text Retrieval
Yifei Xin, Xuxin Cheng, Zhihong Zhu +2
Existing audio-text retrieval (ATR) methods are essentially discriminative models that aim to maximize the conditional likelihood, represented as p(candidates|query). Nevertheless,…
Audio-text Retrieval with Transformer-based Hierarchical Alignment and Disentangled Cross-modal Representation
Yifei Xin, Zhihong Zhu, Xuxin Cheng +2
Most existing audio-text retrieval (ATR) approaches typically rely on a single-level interaction to associate audio and text, limiting their ability to align different modalities a…
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning
Xuxin Cheng, Wanshi Xu, Zhihong Zhu +2
Spoken language understanding (SLU) is a core task in task-oriented dialogue systems, which aims at understanding the user's current goal through constructing semantic frames. SLU…
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
Xuxin Cheng, Bowen Cao, Qichen Ye +3
Spoken language understanding (SLU) is a fundamental task in the task-oriented dialogue systems. However, the inevitable errors from automatic speech recognition (ASR) usually impa…
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory
Hongxiang Li, Meng Cao, Xuxin Cheng +3
The recent video grounding works attempt to introduce vanilla contrastive learning into video grounding. However, we claim that this naive solution is suboptimal. Contrastive learn…
TLAG: An Informative Trigger and Label-Aware Knowledge Guided Model for Dialogue-based Relation Extraction
Hao An, Dongsheng Chen, Weiyuan Xu +2
Dialogue-based Relation Extraction (DRE) aims to predict the relation type of argument pairs that are mentioned in dialogue. The latest trigger-enhanced methods propose trigger pre…