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05/23/2023
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
Prompting methods such as Chain-of-Thought (CoT) have shed new light on ...
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05/20/2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
Models trained with empirical risk minimization (ERM) are revealed to ea...
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05/11/2023
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild
The principle of continual relation extraction (CRE) involves adapting t...
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05/08/2023
HACK: Learning a Parametric Head and Neck Model for High-fidelity Animation
Significant advancements have been made in developing parametric models ...
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04/17/2023
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction
Large language models have unlocked strong multi-task capabilities from ...
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03/01/2023
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks
The GPT-3.5 models have demonstrated impressive performance in various N...
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01/08/2023
Automatic Diagnosis of Carotid Atherosclerosis Using a Portable Freehand 3D Ultrasound Imaging System
Objective: The objective of this study is to develop a deep-learning bas...
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12/28/2022
VertMatch: A Semi-supervised Framework for Vertebral Structure Detection in 3D Ultrasound Volume
Three-dimensional (3D) ultrasound imaging technique has been applied for...
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11/14/2022
Efficient Adversarial Training with Robust Early-Bird Tickets
Adversarial training is one of the most powerful methods to improve the ...
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11/06/2022
Robust Lottery Tickets for Pre-trained Language Models
Recent works on Lottery Ticket Hypothesis have shown that pre-trained la...
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10/11/2022
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task Consistency
Semantic segmentation is a classic computer vision problem dedicated to ...
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04/17/2022
Automatic spinal curvature measurement on ultrasound spine images using Faster R-CNN
Ultrasound spine imaging technique has been applied to the assessment of...
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02/16/2022
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective
Natural language understanding (NLU) models tend to rely on spurious cor...
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05/09/2021
Automatic segmentation of vertebral features on ultrasound spine images using Stacked Hourglass Network
Objective: The spinous process angle (SPA) is one of the essential param...
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03/21/2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Various robustness evaluation methodologies from different perspectives ...
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10/04/2016
