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09/07/2023
On Large Language Models' Selection Bias in Multi-Choice Questions
Multi-choice questions (MCQs) serve as a common yet important task forma...
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07/29/2023
Towards Codable Text Watermarking for Large Language Models
As large language models (LLMs) generate texts with increasing fluency a...
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01/29/2023
Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps
The privacy of personal information has received significant attention i...
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01/28/2023
On Pre-trained Language Models for Antibody
Antibodies are vital proteins offering robust protection for the human b...
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01/26/2023
Graph Contrastive Learning for Skeleton-based Action Recognition
In the field of skeleton-based action recognition, current top-performin...
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01/18/2023
Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments
In 5G non-standalone mode, an intelligent traffic steering mechanism can...
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01/12/2023
Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning
In 5G non-standalone mode, traffic steering is a critical technique to t...
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08/30/2022
FDB: Fraud Dataset Benchmark
Standardized datasets and benchmarks have spurred innovations in compute...
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04/20/2022
One-Class Model for Fabric Defect Detection
An automated and accurate fabric defect inspection system is in high dem...
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10/16/2021
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark
Dialogue safety problems severely limit the real-world deployment of neu...
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09/16/2021
Learning from Peers: Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G Network Slicing
Radio access network (RAN) slicing is an important part of network slici...
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08/13/2021
MTG: A Benchmarking Suite for Multilingual Text Generation
We introduce MTG, a new benchmark suite for training and evaluating mult...
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06/07/2020
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
We propose a novel method for combining synthetic and real images when t...
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10/02/2019
Longitudinal Motion Planning for Autonomous Vehicles and Its Impact on Congestion: A Survey
This paper reviews machine learning methods for the motion planning of a...
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06/16/2019
Fixing Gaussian Mixture VAEs for Interpretable Text Generation
Variational auto-encoder (VAE) with Gaussian priors is effective in text...
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06/22/2018
Probabilistic Natural Language Generation with Wasserstein Autoencoders
Probabilistic generation of natural language sentences is an important t...
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04/10/2018
