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09/08/2023
Unsupervised Multi-document Summarization with Holistic Inference
Multi-document summarization aims to obtain core information from a coll...
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08/01/2023
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models
We consider the problem of eliciting compositional generalization capabi...
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06/08/2023
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs
This paper introduces FedMLSecurity, a benchmark that simulates adversar...
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06/02/2023
Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction
Search engine plays a crucial role in satisfying users' diverse informat...
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05/24/2023
Analyzing Influential Factors in Human Preference Judgments via GPT-4
Pairwise human judgments are pivotal in guiding large language models (L...
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02/24/2023
Streamlining Multimodal Data Fusion in Wireless Communication and Sensor Networks
This paper presents a novel approach for multimodal data fusion based on...
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12/19/2022
OASum: Large-Scale Open Domain Aspect-based Summarization
Aspect or query-based summarization has recently caught more attention, ...
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10/28/2022
Toward Unifying Text Segmentation and Long Document Summarization
Text segmentation is important for signaling a document's structure. Wit...
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10/22/2022
Salience Allocation as Guidance for Abstractive Summarization
Abstractive summarization models typically learn to capture the salient ...
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10/21/2022
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination
Large-scale pretrained language models have made significant advances in...
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10/04/2022
Invariant Aggregator for Defending Federated Backdoor Attacks
Federated learning is gaining popularity as it enables training of high-...
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09/13/2022
Federated Meta-Learning for Traffic Steering in O-RAN
The vision of 5G lies in providing high data rates, low latency (for the...
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08/31/2022
Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning
Setting the transmit power setting of 5G cells has been a long-term topi...
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08/13/2022
Happiness Maximizing Sets under Group Fairness Constraints (Technical Report)
Finding a happiness maximizing set (HMS) from a database, i.e., selectin...
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08/03/2022
Multimodal sensor fusion in the latent representation space
A new method for multimodal sensor fusion is introduced. The technique r...
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06/27/2022
Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model
Measuring customer experience on mobile data is of utmost importance for...
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06/08/2022
Sim2real for Reinforcement Learning Driven Next Generation Networks
The next generation of networks will actively embrace artificial intelli...
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03/22/2022
Towards Abstractive Grounded Summarization of Podcast Transcripts
Podcasts have recently shown a rapid rise in popularity. Summarization o...
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11/12/2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN
Radio access network (RAN) technologies continue to witness massive grow...
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09/08/2021
AppQ: Warm-starting App Recommendation Based on View Graphs
Current app ranking and recommendation systems are mainly based on user-...
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07/24/2021
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection
Smart contract vulnerability detection draws extensive attention in rece...
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03/22/2021
Efficient Processing of k-regret Minimization Queries with Theoretical Guarantees
Assisting end users to identify desired results from a large dataset is ...
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03/03/2021
Self-play Learning Strategies for Resource Assignment in Open-RAN Networks
Open Radio Access Network (ORAN) is being developed with an aim to democ...
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03/03/2021
NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation
In this paper, we propose a Chinese multi-turn topic-driven conversation...
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11/09/2020
Automatic Summarization of Open-Domain Podcast Episodes
We present implementation details of our abstractive summarizers that ac...
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10/21/2020
"Are you home alone?" "Yes" Disclosing Security and Privacy Vulnerabilities in Alexa Skills
The home voice assistants such as Amazon Alexa have become increasingly ...
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06/24/2020
Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems
Matrix Factorization (MF) has been widely applied in machine learning an...
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05/03/2020
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints
Text generation from a knowledge base aims to translate knowledge triple...
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12/28/2019
VulnDS: Top-k Vulnerable SME Detection System in Networked-Loans
Groups of small and medium enterprises (SMEs) can back each other to obt...
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10/04/2019
Lipschitz Learning for Signal Recovery
We consider the recovery of signals from their observations, which are s...
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07/01/2019
Location Anomalies Detection for Connected and Autonomous Vehicles
Future Connected and Automated Vehicles (CAV), and more generally ITS, w...
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06/27/2019
Critical Edge Identification: A K-Truss Based Model
In a social network, the strength of relationships between users can sig...
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11/09/2018
STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification
In this work, we propose a novel Spatial-Temporal Attention (STA) approa...
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06/25/2018
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels
One important assumption underlying common classification models is the ...
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04/05/2018
Discovering Communities of Malapps on Android-based Mobile Cyber-physical Systems
Android-based devices like smartphones have become ideal mobile cyber-ph...
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01/07/2018