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06/23/2023
ToolQA: A Dataset for LLM Question Answering with External Tools
Large Language Models (LLMs) have demonstrated impressive performance in...
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12/20/2022
Generation-Augmented Query Expansion For Code Retrieval
Pre-trained language models have achieved promising success in code retr...
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10/07/2021
GNN is a Counter? Revisiting GNN for Question Answering
Question Answering (QA) has been a long-standing research topic in AI an...
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09/27/2021
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device
The explosive growth in video streaming requires video understanding at ...
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03/22/2021
How to Design Sample and Computationally Efficient VQA Models
In multi-modal reasoning tasks, such as visual question answering (VQA),...
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08/11/2020
Hardware-Centric AutoML for Mixed-Precision Quantization
Model quantization is a widely used technique to compress and accelerate...
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06/15/2020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
We present APQ for efficient deep learning inference on resource-constra...
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04/30/2020
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
Automatic transistor sizing is a challenging problem in circuit design d...
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04/24/2019
Design Automation for Efficient Deep Learning Computing
Efficient deep learning computing requires algorithm and hardware co-des...
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11/21/2018