Yuxian Gu

Orcid: 0000-0002-4607-7025

According to our database1, Yuxian Gu authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Towards Optimal Learning of Language Models.
CoRR, 2024

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.
CoRR, 2024

2023
EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training.
Mach. Intell. Res., April, 2023

Knowledge Distillation of Large Language Models.
CoRR, 2023

Pre-Training to Learn in Context.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Structured Prompting: Scaling In-Context Learning to 1, 000 Examples.
CoRR, 2022

Many-Class Text Classification with Matching.
CoRR, 2022

EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training.
CoRR, 2022

Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PPT: Pre-trained Prompt Tuning for Few-shot Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.
CoRR, 2021

EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training.
CoRR, 2021

Pre-Trained Models: Past, Present and Future.
CoRR, 2021

CPM: A large-scale generative Chinese Pre-trained language model.
AI Open, 2021

CPM-2: Large-scale cost-effective pre-trained language models.
AI Open, 2021

Pre-trained models: Past, present and future.
AI Open, 2021

2020
Train No Evil: Selective Masking for Task-Guided Pre-Training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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