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09/11/2023
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
In recent years, the transition to cloud-based platforms in the IT secto...
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09/07/2023
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty
Open Information Extraction (OIE) task aims at extracting structured fac...
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08/08/2023
Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance
Retrieval augmented models show promise in enhancing traditional languag...
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06/03/2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation
Meta-learning has emerged as a trending technique to tackle few-shot tex...
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05/30/2023
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models
Large language models (LLMs) have significantly advanced the field of na...
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05/25/2023
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents
Ensuring the reliability and availability of cloud services necessitates...
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03/21/2023
Time Series Contrastive Learning with Information-Aware Augmentations
Various contrastive learning approaches have been proposed in recent yea...
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02/04/2023
Knowledge-enhanced Neural Machine Reasoning: A Review
Knowledge-enhanced neural machine reasoning has garnered significant att...
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01/10/2023
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
Incident management for cloud services is a complex process involving se...
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11/19/2022
DeepGAR: Deep Graph Learning for Analogical Reasoning
Analogical reasoning is the process of discovering and mapping correspon...
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10/24/2022
LANS: Large-scale Arabic News Summarization Corpus
Text summarization has been intensively studied in many languages, and s...
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02/05/2022
SEED: Sound Event Early Detection via Evidential Uncertainty
Sound Event Early Detection (SEED) is an essential task in recognizing t...
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12/23/2021
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
During the past several years, a surge of multi-lingual Pre-trained Lang...
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12/01/2021
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph
We target the task of cross-lingual Machine Reading Comprehension (MRC) ...
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09/01/2021
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
Recent multilingual pre-trained language models have achieved remarkable...
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03/26/2021
Unsupervised Document Embedding via Contrastive Augmentation
We present a contrasting learning approach with data augmentation techni...
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03/03/2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
Forecasting on sparse multivariate time series (MTS) aims to model the p...
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10/16/2020
Semantic Editing On Segmentation Map Via Multi-Expansion Loss
Semantic editing on segmentation map has been proposed as an intermediat...
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07/03/2020
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations
Despite the great progress made by deep neural networks in the semantic ...
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04/24/2020
A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification
Using attention weights to identify information that is important for mo...
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07/17/2019
Mitigating Uncertainty in Document Classification
The uncertainty measurement of classifiers' predictions is especially im...
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02/05/2019
Robust Regression via Online Feature Selection under Adversarial Data Corruption
The presence of data corruption in user-generated streaming data, such a...
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08/30/2018
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
For node level graph encoding, a recent important state-of-art method is...
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08/26/2018
Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding
As the issue of freshwater shortage is increasing daily, it is critical ...
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07/06/2018
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers
Self-paced learning (SPL) mimics the cognitive process of humans, who ge...
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12/05/2017
Multimodal Storytelling via Generative Adversarial Imitation Learning
Deriving event storylines is an effective summarization method to succin...
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10/02/2017