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08/14/2023
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
Foundation language models obtain the instruction-following ability thro...
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08/03/2023
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Mathematical reasoning is a challenging task for large language models (...
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04/11/2023
RRHF: Rank Responses to Align Language Models with Human Feedback without tears
Reinforcement Learning from Human Feedback (RLHF) facilitates the alignm...
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03/18/2023
Exploring Partial Knowledge Base Inference in Biomedical Entity Linking
Biomedical entity linking (EL) consists of named entity recognition (NER...
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03/18/2023
Revisiting Automatic Question Summarization Evaluation in the Biomedical Domain
Automatic evaluation metrics have been facilitating the rapid developmen...
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03/10/2023
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models
Electronic health records (EHR) contain vast biomedical knowledge and ar...
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03/01/2023
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training
Vision-and-language multi-modal pretraining and fine-tuning have shown g...
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12/20/2022
SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers
Diffusion model, a new generative modelling paradigm, has achieved great...
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12/17/2022
HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation
Language models with the Transformers structure have shown great perform...
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04/11/2022
Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning
Entities lie in the heart of biomedical natural language understanding, ...
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04/08/2022
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
Pretrained language models have served as important backbones for natura...
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03/18/2022
BIOS: An Algorithmically Generated Biomedical Knowledge Graph
Biomedical knowledge graphs (BioMedKGs) are essential infrastructures fo...
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12/01/2021