research
∙
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...
share
research
∙
08/23/2023
Sign Language Translation with Iterative Prototype
This paper presents IP-SLT, a simple yet effective framework for sign la...
research
∙
08/15/2023
A Multilayer Perceptron-based Fast Sunlight Assessment for the Conceptual Design of Residential Neighborhoods under Chinese Policy
In Chinese building codes, it is required that residential buildings rec...
research
∙
07/29/2023
Towards Codable Text Watermarking for Large Language Models
As large language models (LLMs) generate texts with increasing fluency a...
research
∙
07/22/2023
A Monotone Discretization for the Fractional Obstacle Problem
We introduce a novel monotone discretization method for addressing obsta...
research
∙
07/12/2023
Unified Molecular Modeling via Modality Blending
Self-supervised molecular representation learning is critical for molecu...
research
∙
07/06/2023
Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning
rApps and xApps need to be controlled and orchestrated well in the open ...
research
∙
05/24/2023
Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions
Large-scale Pretrained Language Models (LLMs), such as ChatGPT and GPT4,...
research
∙
05/23/2023
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
In-context learning (ICL) emerges as a promising capability of large lan...
research
∙
05/14/2023
Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning
Recent years have noticed an increasing interest among academia and indu...
research
∙
05/08/2023
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias
Pre-trained Language Models (PLMs) may be poisonous with backdoors or bi...
research
∙
05/07/2023
HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction
Entity relation extraction consists of two sub-tasks: entity recognition...
research
∙
05/04/2023
Re^3Dial: Retrieve, Reorganize and Rescale Dialogue Corpus for Long-Turn Open-Domain Dialogue Pre-training
Large-scale open-domain dialogue data crawled from public social media h...
research
∙
04/22/2023
On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering
Traffic steering (TS) is a promising approach to support various service...
research
∙
03/27/2023
Learning Harmonic Molecular Representations on Riemannian Manifold
Molecular representation learning plays a crucial role in AI-assisted dr...
research
∙
03/12/2023
Towards Diverse Temporal Grounding under Single Positive Labels
Temporal grounding aims to retrieve moments of the described event withi...
research
∙
02/01/2023
Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning
The growing adoption of mmWave frequency bands to realize the full poten...
research
∙
01/29/2023
Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps
The privacy of personal information has received significant attention i...
research
∙
01/28/2023
On Pre-trained Language Models for Antibody
Antibodies are vital proteins offering robust protection for the human b...
research
∙
01/26/2023
Graph Contrastive Learning for Skeleton-based Action Recognition
In the field of skeleton-based action recognition, current top-performin...
research
∙
01/25/2023
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning
Federated Learning (FL) has become a popular distributed learning paradi...
research
∙
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...
research
∙
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...
research
∙
12/18/2022
Knowledge Transfer and Reuse: A Case Study of AI-enabled Resource Management in RAN Slicing
An efficient resource management scheme is critical to enable network sl...
research
∙
11/28/2022
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing
Marketing is an important mechanism to increase user engagement and impr...
research
∙
11/28/2022
Accelerating Antimicrobial Peptide Discovery with Latent Sequence-Structure Model
Antimicrobial peptide (AMP) is a promising therapy in the treatment of b...
research
∙
10/18/2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models
Even though the large-scale language models have achieved excellent perf...
research
∙
10/13/2022
Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition
Due to the absence of connectives, implicit discourse relation recogniti...
research
∙
09/30/2022
IMB-NAS: Neural Architecture Search for Imbalanced Datasets
Class imbalance is a ubiquitous phenomenon occurring in real world data ...
research
∙
09/27/2022
Towards Regression-Free Neural Networks for Diverse Compute Platforms
With the shift towards on-device deep learning, ensuring a consistent be...
research
∙
08/30/2022
FDB: Fraud Dataset Benchmark
Standardized datasets and benchmarks have spurred innovations in compute...
research
∙
08/16/2022
Manual-Guided Dialogue for Flexible Conversational Agents
How to build and use dialogue data efficiently, and how to deploy models...
research
∙
08/02/2022
Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing
Recently, open radio access network (O-RAN) has become a promising techn...
research
∙
06/13/2022
On the Learning of Non-Autoregressive Transformers
Non-autoregressive Transformer (NAT) is a family of text generation mode...
research
∙
05/26/2022
Backward Euler method for stochastic differential equations with non-Lipschitz coefficients
We study the traditional backward Euler method for m-dimensional stochas...
research
∙
05/09/2022
Enhancing Cross-lingual Transfer by Manifold Mixup
Based on large-scale pre-trained multilingual representations, recent cr...
research
∙
04/20/2022
One-Class Model for Fabric Defect Detection
An automated and accurate fabric defect inspection system is in high dem...
research
∙
04/08/2022
Contextual Representation Learning beyond Masked Language Modeling
How do masked language models (MLMs) such as BERT learn contextual repre...
research
∙
04/05/2022
latent-GLAT: Glancing at Latent Variables for Parallel Text Generation
Recently, parallel text generation has received widespread attention due...
research
∙
04/02/2022
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation
Existing reference-free metrics have obvious limitations for evaluating ...
research
∙
03/16/2022
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning
The ability to recognize analogies is fundamental to human cognition. Ex...
research
∙
02/22/2022
Forgiving Debt in Financial Network Games
A financial system is represented by a network, where nodes correspond t...
research
∙
01/19/2022
Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home
Data is the fuel of data science and machine learning techniques for sma...
research
∙
01/19/2022
Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN)
Recently, the concept of open radio access network (O-RAN) has been prop...
research
∙
12/10/2021
Unsupervised Editing for Counterfactual Stories
Creating what-if stories requires reasoning about prior statements and p...
research
∙
11/22/2021
Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures
Microgrids (MGs) are important players for the future transactive energy...
research
∙
11/09/2021
Learning Logic Rules for Document-level Relation Extraction
Document-level relation extraction aims to identify relations between en...
research
∙
11/08/2021
A Survey on Green Deep Learning
In recent years, larger and deeper models are springing up and continuou...
research
∙
10/28/2021
Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for Trajectory Prediction
Pedestrian trajectory prediction is a key technology in many application...
research
∙
10/23/2021