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09/04/2023
A Survey for Graphic Design Intelligence
Graphic design is an effective language for visual communication. Using ...
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08/25/2023
SoTaNa: The Open-Source Software Development Assistant
Software development plays a crucial role in driving innovation and effi...
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08/24/2023
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
Creating layouts is a fundamental step in graphic design. In this work, ...
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08/18/2023
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Large language models (LLMs), such as GPT-4, have shown remarkable perfo...
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08/17/2023
Beam Retrieval: General End-to-End Retrieval for Multi-Hop Question Answering
Multi-hop QA involves finding multiple relevant passages and step-by-ste...
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08/08/2023
WonderFlow: Narration-Centric Design of Animated Data Videos
Creating an animated data video enriched with audio narration takes a si...
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08/03/2023
Diffusion-based Time Series Data Imputation for Microsoft 365
Reliability is extremely important for large-scale cloud systems like Mi...
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08/01/2023
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
Learning from positive and unlabeled data is known as positive-unlabeled...
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07/03/2023
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Anomaly detection in multivariate time series data is of paramount impor...
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06/06/2023
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering
Collaborative filtering (CF) is an important research direction in recom...
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06/04/2023
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines
Data pipelines are widely employed in modern enterprises to power a vari...
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05/29/2023
Assess and Summarize: Improve Outage Understanding with Large Language Models
Cloud systems have become increasingly popular in recent years due to th...
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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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05/24/2023
Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset
Large Language Models (LLMs) demonstrate exceptional performance in text...
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05/19/2023
Introspective Tips: Large Language Model for In-Context Decision Making
The emergence of large language models (LLMs) has substantially influenc...
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05/19/2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Large Language Model (LLM) has gained popularity and achieved remarkable...
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05/08/2023
How Do In-Context Examples Affect Compositional Generalization?
Compositional generalization–understanding unseen combinations of seen p...
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04/22/2023
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
Due to the sheer size of software logs, developers rely on automated tec...
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04/11/2023
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond
Recently, fine-tuning pre-trained code models such as CodeBERT on downst...
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04/02/2023
Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System
Exploring data is crucial in data analysis, as it helps users understand...
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03/21/2023
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
Creating graphic layouts is a fundamental step in graphic designs. In th...
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02/19/2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
In cloud systems, incidents are potential threats to customer satisfacti...
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02/16/2023
Robust Mid-Pass Filtering Graph Convolutional Networks
Graph convolutional networks (GCNs) are currently the most promising par...
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02/14/2023
Conservative State Value Estimation for Offline Reinforcement Learning
Offline reinforcement learning faces a significant challenge of value ov...
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02/13/2023
Homophily-oriented Heterogeneous Graph Rewiring
With the rapid development of the World Wide Web (WWW), heterogeneous gr...
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11/21/2022
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
Oversubscription is a common practice for improving cloud resource utili...
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10/04/2022
Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing
The recent prevalence of pretrained language models (PLMs) has dramatica...
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09/17/2022
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances
Fairness testing aims at mitigating unintended discrimination in the dec...
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09/17/2022
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach
Graph Neural Networks (GNNs) are popular machine learning methods for mo...
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08/25/2022
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima
Learning rate is one of the most important hyper-parameters that has a s...
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08/23/2022
Towards Natural Language-Based Visualization Authoring
A key challenge to visualization authoring is the process of getting fam...
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08/17/2022
UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic Layout Generation
To satisfy various user needs, different subtasks of graphic layout gene...
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08/15/2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Graph Neural Networks (GNNs) have shown expressive performance on graph ...
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07/26/2022
XInsight: eXplainable Data Analysis Through The Lens of Causality
In light of the growing popularity of Exploratory Data Analysis (EDA), u...
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07/20/2022
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
This paper investigates a critical resource allocation problem in the fi...
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05/25/2022
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Logical table-to-text generation is a task that involves generating logi...
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04/21/2022
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Third-party libraries (TPLs) are reused frequently in software applicati...
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04/07/2022
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation
Code search aims to retrieve the most semantically relevant code snippet...
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03/29/2022
Accelerating Code Search with Deep Hashing and Code Classification
Code search is to search reusable code snippets from source code corpus ...
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03/27/2022
OneLabeler: A Flexible System for Building Data Labeling Tools
Labeled datasets are essential for supervised machine learning. Various ...
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03/05/2022
ECMG: Exemplar-based Commit Message Generation
Commit messages concisely describe the content of code diffs (i.e., code...
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02/14/2022
UniParser: A Unified Log Parser for Heterogeneous Log Data
Logs provide first-hand information for engineers to diagnose failures i...
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12/02/2021
Source Free Unsupervised Graph Domain Adaptation
Graph Neural Networks (GNNs) have achieved great success on a variety of...
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11/30/2021
Neuron with Steady Response Leads to Better Generalization
Regularization can mitigate the generalization gap between training and ...
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11/22/2021
A Surrogate Objective Framework for Prediction+Optimization with Soft Constraints
Prediction+optimization is a common real-world paradigm where we have to...
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11/16/2021
A Unified and Fast Interpretable Model for Predictive Analytics
In this paper, we propose FXAM (Fast and eXplainable Additive Model), a ...
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10/29/2021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Graph Neural Networks (GNNs) are widely used on a variety of graph-based...
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10/01/2021
ML4C: Seeing Causality Through Latent Vicinity
Supervised Causal Learning (SCL) aims to learn causal relations from obs...
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09/15/2021
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Tables store rich numerical data, but numerical reasoning over tables is...
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08/30/2021