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08/23/2023
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
Knowledge base question answering (KBQA) is a critical yet challenging t...
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06/02/2023
Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today
Recent investigations show that large language models (LLMs), specifical...
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03/12/2023
Towards Universal Vision-language Omni-supervised Segmentation
Existing open-world universal segmentation approaches usually leverage C...
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12/20/2022
Toward a Unified Framework for Unsupervised Complex Tabular Reasoning
Structured tabular data exist across nearly all fields. Reasoning task o...
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11/23/2022
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
Prompt tuning has been employed as an efficient way to adapt large visio...
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10/03/2022
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
Pre-training across 3D vision and language remains under development bec...
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10/03/2022
LPT: Long-tailed Prompt Tuning for Image Classification
For long-tailed classification, most works often pretrain a big model on...
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07/25/2022
W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection
Weakly-supervised object detection (WSOD) aims to train an object detect...
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07/13/2022
Symmetry-Aware Transformer-based Mirror Detection
Mirror detection aims to identify the mirror regions in the given input ...
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05/23/2022
Prompt Tuning for Discriminative Pre-trained Language Models
Recent works have shown promising results of prompt tuning in stimulatin...
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03/14/2022
Self-Promoted Supervision for Few-Shot Transformer
The few-shot learning ability of vision transformers (ViTs) is rarely in...
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08/03/2021
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
Weakly-supervised object detection (WSOD) has emerged as an inspiring re...
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05/15/2019
