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09/21/2023
AceGPT, Localizing Large Language Models in Arabic
This paper explores the imperative need and methodology for developing a...
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08/17/2023
CMB: A Comprehensive Medical Benchmark in Chinese
Large Language Models (LLMs) provide a possibility to make a great break...
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07/21/2023
Advancing Visual Grounding with Scene Knowledge: Benchmark and Method
Visual grounding (VG) aims to establish fine-grained alignment between v...
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07/21/2023
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation
Parameter Efficient Tuning (PET) has gained attention for reducing the n...
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06/06/2023
On the Difference of BERT-style and CLIP-style Text Encoders
Masked language modeling (MLM) has been one of the most popular pretrain...
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05/24/2023
HuatuoGPT, towards Taming Language Model to Be a Doctor
In this paper, we present HuatuoGPT, a large language model (LLM) for me...
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04/20/2023
Phoenix: Democratizing ChatGPT across Languages
This paper presents our efforts to democratize ChatGPT across language. ...
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02/17/2023
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
Medical vision-and-language pre-training (Med-VLP) has shown promising i...
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01/19/2023
GIPA++: A General Information Propagation Algorithm for Graph Learning
Graph neural networks (GNNs) have been widely used in graph-structured d...
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09/15/2022
Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge
Medical vision-and-language pre-training (Med-VLP) has received consider...
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04/28/2022
Cross-modal Memory Networks for Radiology Report Generation
Medical imaging plays a significant role in clinical practice of medical...
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04/01/2022
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
The impression section of a radiology report summarizes the most promine...
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12/18/2021
Word Graph Guided Summarization for Radiology Findings
Radiology reports play a critical role in communicating medical findings...
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05/18/2021
Path-based Deep Network for Candidate Item Matching in Recommenders
The large-scale recommender system mainly consists of two stages: matchi...
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05/06/2021
Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing
Face anti-spoofing approach based on domain generalization(DG) has drawn...
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10/30/2020
Generating Radiology Reports via Memory-driven Transformer
Medical imaging is frequently used in clinical practice and trials for d...
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05/21/2020
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance
Most of ranking models are trained only with displayed items (most are h...
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05/02/2020
Electrically-Tunable Stochasticity for Spin-based Neuromorphic Circuits: Self-Adjusting to Variation
Energy-efficient methods are addressed for leveraging low energy barrier...
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12/27/2019
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
Minimizing the discrepancy of feature distributions between different do...
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05/26/2019
Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation
Partial domain adaptation (PDA) extends standard domain adaptation to a ...
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04/13/2019
Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation
Recent advances in unsupervised domain adaptation mainly focus on learni...
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08/28/2018