3 citations · 6 across the 7 of their papers we have counts for
4 papers · 1 filter
From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification
Junhua Liu, Yong Keat Tan, Bin Fu +1
In conversational AI systems, a critical challenge in training effective multi-turn intent classification models lies in the generation of large-scale, domain-specific, multilingua…
Towards Precise Observations of Neural Model Robustness in Classification
Wenchuan Mu, Kwan Hui Lim
In deep learning applications, robustness measures the ability of neural models that handle slight changes in input data, which could lead to potential safety hazards, especially i…
Label-Free Topic-Focused Summarization Using Query Augmentation
Wenchuan Mu, Kwan Hui Lim
In today's data and information-rich world, summarization techniques are essential in harnessing vast text to extract key information and enhance decision-making and efficiency. In…
Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction
Junhua Liu, Justin Albrethsen, Lincoln Goh +2
Resource allocation in tactical ad-hoc networks presents unique challenges due to their dynamic and multi-hop nature. Accurate prediction of future network connectivity is essentia…