Ruyi Gan
According to our database1,
Ruyi Gan
authored at least 19 papers
between 2022 and 2024.
Collaborative distances:
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Bibliography
2024
Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support.
CoRR, 2024
Research on Correction of Temperature and Mineralization and Prediction of Water Holdup Based on Machine Learning.
IEEE Access, 2024
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects.
CoRR, 2023
iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior Design.
CoRR, 2023
Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning.
CoRR, 2023
UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective.
CoRR, 2023
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple-Choice Perspective.
IEEE Access, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Towards No.1 in CLUE Semantic Matching Challenge: Pre-trained Language Model Erlangshen with Propensity-Corrected Loss.
CoRR, 2022
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022