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06/30/2023
Preference Ranking Optimization for Human Alignment
Large language models (LLMs) often contain misleading content, emphasizi...
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05/23/2023
CPNet: Exploiting CLIP-based Attention Condenser and Probability Map Guidance for High-fidelity Talking Face Generation
Recently, talking face generation has drawn ever-increasing attention fr...
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04/14/2023
API-Bank: A Benchmark for Tool-Augmented LLMs
Recent research has shown that Large Language Models (LLMs) can utilize ...
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02/16/2023
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
Deep neural networks (DNNs) are the de-facto standard for essential use ...
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08/16/2022
Understanding the Challenges of Team-Based Live Streaming for First-person Shooter Games
First-person shooter (FPS) game tournaments take place across the globe....
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05/15/2022
Automation Slicing and Testing for in-App Deep Learning Models
Intelligent Apps (iApps), equipped with in-App deep learning (DL) models...
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09/21/2021
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
Text recognition is a long-standing research problem for document digita...
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09/17/2021
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach
The problem of multi-robot navigation of connectivity maintenance is cha...
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07/30/2021
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction
We develop a novel framework that adds the regularizers of the sparse gr...
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06/01/2020
DocBank: A Benchmark Dataset for Document Layout Analysis
Document layout analysis usually relies on computer vision models to und...
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05/25/2020
SegAttnGAN: Text to Image Generation with Segmentation Attention
In this paper, we propose a novel generative network (SegAttnGAN) that u...
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12/31/2019
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
Pre-training techniques have been verified successfully in a variety of ...
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03/05/2019
