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09/15/2023
Empowering Private Tutoring by Chaining Large Language Models
Artificial intelligence has been applied in various aspects of online ed...
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08/07/2023
Enhancing Nucleus Segmentation with HARU-Net: A Hybrid Attention Based Residual U-Blocks Network
Nucleus image segmentation is a crucial step in the analysis, pathologic...
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08/05/2023
A Voting-Stacking Ensemble of Inception Networks for Cervical Cytology Classification
Cervical cancer is one of the most severe diseases threatening women's h...
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05/31/2023
Exploring Lottery Prompts for Pre-trained Language Models
Consistently scaling pre-trained language models (PLMs) imposes substant...
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05/23/2023
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Fine-tuning on instruction data has been widely validated as an effectiv...
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05/16/2023
SCTracker: Multi-object tracking with shape and confidence constraints
Detection-based tracking is one of the main methods of multi-object trac...
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11/14/2022
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction
The diverse relationships among real-world events, including coreference...
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11/10/2022
Few-shot Classification with Hypersphere Modeling of Prototypes
Metric-based meta-learning is one of the de facto standards in few-shot ...
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01/24/2022
BTPK-based learning: An Interpretable Method for Named Entity Recognition
Named entity recognition (NER) is an essential task in natural language ...
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11/03/2021
OpenPrompt: An Open-source Framework for Prompt-learning
Prompt-learning has become a new paradigm in modern natural language pro...
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08/24/2021
Prompt-Learning for Fine-Grained Entity Typing
As an effective approach to tune pre-trained language models (PLMs) for ...
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05/16/2021
Few-NERD: A Few-Shot Named Entity Recognition Dataset
Recently, considerable literature has grown up around the theme of few-s...
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09/08/2020