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06/19/2023
Temporal Data Meets LLM – Explainable Financial Time Series Forecasting
This paper presents a novel study on harnessing Large Language Models' (...
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05/29/2020
Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents
Measuring user satisfaction level is a challenging task, and a critical ...
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05/16/2020
Neural Stochastic Block Model Scalable Community-Based Graph Learning
This paper proposes a novel scalable community-based neural framework fo...
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02/13/2020
Pre-Training for Query Rewriting in A Spoken Language Understanding System
Query rewriting (QR) is an increasingly important technique to reduce cu...
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10/08/2019
Knowledge Distillation from Internal Representations
Knowledge distillation is typically conducted by training a small model ...
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12/19/2018
Correlated Anomaly Detection from Large Streaming Data
Correlated anomaly detection (CAD) from streaming data is a type of grou...
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02/15/2018