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07/16/2023
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models
The recent performance leap of Large Language Models (LLMs) opens up new...
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05/23/2023
Rethinking the Role of Pre-ranking in Large-scale E-Commerce Searching System
E-commerce search systems such as Taobao Search, the largest e-commerce ...
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03/02/2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models
Machine Learning (ML) has been widely used in Natural Language Processin...
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03/02/2023
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction
Recurrent Neural Networks (RNNs) have been widely used in Natural Langua...
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12/13/2022
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty
Deep learning (DL) has become a driving force and has been widely adopte...
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11/19/2021
Zero-Shot Certified Defense against Adversarial Patches with Vision Transformers
Adversarial patch attack aims to fool a machine learning model by arbitr...
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12/16/2020
Summarizing Unstructured Logs in Online Services
Logs are one of the most valuable data sources for managing large-scale ...
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02/13/2020
