Guotong Xie
17 papers · 2019–2024 · 7 venues · across top CS/AI venues
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Machine Learning
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pre-trained language model
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question answering
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early exiting
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transfer learning
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knowledge distillation
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natural language inference
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neural network optimization
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model compression
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multi-task learning
(1)
self-supervised learning
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image segmentation
(1)
medical imaging
(1)
graph representation learning
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contrastive learning
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object detection
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hyperparameter optimization
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semantic segmentation
(1)
information extraction
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extractive summarization
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in-context learning
(1)
Papers
IAPT: Instance-Aware Prompt Tuning for Large Language Models
ACL 2024
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
ICML 2024
BADGE: Speeding Up BERT Inference after Deployment via Block-wise Bypasses and Divergence-based Early Exiting
ACL 2023
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning
EMNLP 2023
Unified Demonstration Retriever for In-Context Learning
ACL 2023
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation
ACL 2022
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
ACL 2022
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models
SemEval 2022
Discovering Better Model Architectures for Medical Query Understanding
NAACL 2021
GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning
EMNLP 2021
Global Attention Decoder for Chinese Spelling Error Correction
ACL 2021
paht_nlp @ MEDIQA 2021: Multi-grained Query Focused Multi-Answer Summarization
NAACL 2021
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks
IJCAI 2021
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information
EMNLP 2020
Region Focus Network for Joint Optic Disc and Cup Segmentation
AAAI 2020
PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation
ACL 2019
Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks
EMNLP 2019