Yichun Yin

According to our database, Yichun Yin authored at least 30 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.

Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Yichun Yin, Hao Zhang, Yong Liu, Yasheng Wang, Ruiming Tang

CoRR, 2024

DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning.

Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Preparing Lessons for Progressive Training on Language Models.

Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FIMO: A Challenge Formal Dataset for Automated Theorem Proving.

Chengwu Liu, Jianhao Shen, Huajian Xin, Zhengying Liu, Ye Yuan, Haiming Wang, Wei Ju, Chuanyang Zheng, Yichun Yin, Lin Li, Ming Zhang, Qun Liu

CoRR, 2023

Reusing Pretrained Models by Multi-linear Operators for Efficient Training.

Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models.

Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function.

Haiming Wang, Ye Yuan, Zhengying Liu, Jianhao Shen, Yichun Yin, Jing Xiong, Enze Xie, Han Shi, Yujun Li, Lin Li, Jian Yin, Zhenguo Li, Xiaodan Liang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems.

Yajiao Liu, Xin Jiang, Yichun Yin, Yasheng Wang, Fei Mi, Qun Liu, Xiang Wan, Benyou Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models.

Siheng Li, Cheng Yang, Yichun Yin, Xinyu Zhu, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

NewsDialogues: Towards Proactive News Grounded Conversation.

Siheng Li, Yichun Yin, Cheng Yang, Wangjie Jiang, Yiwei Li, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks.

Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FPT: Improving Prompt Tuning Efficiency via Progressive Training.

Yufei Huang, Yujia Qin, Huadong Wang, Yichun Yin, Maosong Sun, Zhiyuan Liu, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

bert2BERT: Towards Reusable Pretrained Language Models.

Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Improving task-agnostic BERT distillation with layer mapping search.

Xiaoqi Jiao, Huating Chang, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu

Neurocomputing, 2021

Integrating Regular Expressions with Neural Networks via DFA.

Shaobo Li, Qun Liu, Xin Jiang, Yichun Yin, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Lifeng Shang

CoRR, 2021

LightMBERT: A Simple Yet Effective Method for Multilingual BERT Distillation.

Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu

CoRR, 2021

Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation.

Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Generate & Rank: A Multi-task Framework for Math Word Problems.

Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models.

Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

The Solution of Huawei Cloud & Noah's Ark Lab to the NLPCC-2020 Challenge: Light Pre-Training Chinese Language Model for NLP Task.

Yuyang Zhang, Jintao Yu, Kai Wang, Yichun Yin, Cheng Chen, Qun Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

TernaryBERT: Distillation-aware Ultra-low Bit BERT.

Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

TinyBERT: Distilling BERT for Natural Language Understanding.

Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction.

Yichun Yin, Chenguang Wang, Ming Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Dialog State Tracking with Reinforced Data Augmentation.

Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

More Chinese women needed to hold up half the computing sky.

Ming Zhang, Yichun Yin

Proceedings of the ACM Turing Celebration Conference - China, 2019

2017

NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings.

Yichun Yin, Yangqiu Song, Ming Zhang

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Socialized Word Embeddings.

Ziqian Zeng, Yichun Yin, Yangqiu Song, Ming Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension.

Yichun Yin, Yangqiu Song, Ming Zhang

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction.

Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets.

Li Dong, Furu Wei, Yichun Yin, Ming Zhou, Ke Xu

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015