Yeyun Gong

发表

Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations

Can Xu, Nan Duan, Daxin Jiang, 2021, ACL.

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings

Qi Zhang, Qi Zhang, Fan Yang, 2022, SIGIR.

Preprint. Under review

Weizhu Chen, Yelong Shen, Nan Duan, 2021 .

Adversarial Retriever-Ranker for dense text retrieval

Weizhu Chen, Yelong Shen, Nan Duan, 2021, ArXiv.

Poolingformer: Long Document Modeling with Pooling Attention

Jiancheng Lv, Yelong Shen, Nan Duan, 2021, ICML.

KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning

Timothy Baldwin, Nan Duan, Yeyun Gong, 2021, EMNLP.

Joint Generator-Ranker Learning for Natural Language Generation

Weizhu Chen, Yelong Shen, Nan Duan, 2022, ArXiv.

Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning

Nan Duan, Yeyun Gong, Bartuer Zhou, 2022, EMNLP.

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis

Jinsong Su, Nan Duan, Yeyun Gong, 2022, 2210.09803.

CULG: Commercial Universal Language Generation

Timothy Baldwin, Ruofei Zhang, Nan Duan, 2022, NAACL.

A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation

Weizhu Chen, Yelong Shen, Ruofei Zhang, 2022, ArXiv.

DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation

Yi Mao, Weizhu Chen, Nan Duan, 2022, ACL.

GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation

Weizhu Chen, Yelong Shen, Nan Duan, 2022, ArXiv.

GENIE : Large Scale Pre-training for Generation with Diffusion Model

Weizhu Chen, Yelong Shen, Nan Duan, 2022 .

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval

Wayne Xin Zhao, Anlei Dong, Weizhu Chen, 2022, EMNLP.

Adversarial Retriever-Ranker for dense text retrieval

Weizhu Chen, Yelong Shen, Nan Duan, 2021, ICLR.

Leveraging Document-Level Label Consistency for Named Entity Recognition

Qi Zhang, Xuanjing Huang, Yaqian Zhou, 2020, IJCAI.

Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags

Xuanjing Huang, Qi Zhang, Yeyun Gong, 2015, EMNLP.

Pretraining-Based Natural Language Generation for Text Summarization

Ji Wang, Ming Zhou, Yu Yan, 2019, CoNLL.

Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise

Weizhu Chen, Yelong Shen, Nan Duan, 2022, ICML.

P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training

Xiaodong He, Yeyun Gong, Yifan Wang, 2022, EMNLP.

ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation

Ruofei Zhang, Nan Duan, Can Xu, 2021, ACL.

Mask Attention Networks: Rethinking and Strengthen Transformer

Xuanjing Huang, Dayiheng Liu, Nan Duan, 2021, NAACL.

GLGE: A New General Language Generation Evaluation Benchmark

Jiancheng Lv, Ming Zhou, Weizhu Chen, 2020, FINDINGS.

An Enhanced Knowledge Injection Model for Commonsense Generation pdf

Nan Duan, Jian Jiao, Xuanjing Huang, 2020, COLING.

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation pdf

Jiancheng Lv, Dayiheng Liu, Wei Liu, 2020, EMNLP.

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training

Ming Zhou, Ruofei Zhang, Nan Duan, 2020, FINDINGS.

Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models

Minlie Huang, Weizhu Chen, Yelong Shen, 2023, ICML.

Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter

Xuanjing Huang, Yang Wang, Qi Zhang, 2016, EMNLP.

Poolingformer: Long Document Modeling with Pooling Attention

Jiancheng Lv, Weizhu Chen, Yelong Shen, 2021, ICML.

Weakly Supervised Multi-task Learning for Semantic Parsing

Xiaola Lin, Nan Duan, Guihong Cao, 2019, IJCAI.

RikiNet: Reading Wikipedia Pages for Natural Question Answering

Jiancheng Lv, Jiusheng Chen, Dayiheng Liu, 2020, ACL.

BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining

Ming Zhou, Weizhu Chen, Ruofei Zhang, 2020, ICML.

Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space pdf

Jiancheng Lv, Ming Zhou, Jiusheng Chen, 2020, EMNLP.

XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation

Xiaodong Fan, Fan Yang, Ming Zhou, 2020, EMNLP.

Retweet Prediction with Attention-based Deep Neural Network

Xuanjing Huang, Qi Zhang, Haoran Huang, 2016, CIKM.

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Weizhu Chen, Yelong Shen, Nan Duan, 2023, ArXiv.

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models

Yelong Shen, Nan Duan, Yeyun Gong, 2023, ArXiv.

Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network

Xuanjing Huang, Jiawen Wang, Qi Zhang, 2017, IJCAI.

Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention

Xuanjing Huang, Qi Zhang, Haoran Huang, 2016, COLING.

PROD: Progressive Distillation for Dense Retrieval

Anlei Dong, Rangan Majumder, Nan Duan, 2022, WWW.

Curriculum Sampling for Dense Retrieval with Document Expansion

Anlei Dong, S. Yiu, Nan Duan, 2022, ArXiv.

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers

Wayne Xin Zhao, Nan Duan, Daxin Jiang, 2022, ECML/PKDD.

LEAD: Liberal Feature-based Distillation for Dense Retrieval

Anlei Dong, Linjun Yang, Rangan Majumder, 2022, WSDM.

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Weizhu Chen, Nan Duan, Yeyun Gong, 2023, ArXiv.

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation

Haitao Zheng, Weizhu Chen, Yelong Shen, 2023, ArXiv.

Soft-Labeled Contrastive Pre-training for Function-level Code Representation

Weizhu Chen, Yelong Shen, Nan Duan, 2022, EMNLP.

CodeRetriever: Unimodal and Bimodal Contrastive Learning

Yelong Shen, Nan Duan, Daxin Jiang, 2022, ArXiv.

Joint Type Inference on Entities and Relations via Graph Convolutional Networks

Shiliang Sun, Nan Duan, Daxin Jiang, 2019, ACL.

Query Rewriting for Retrieval-Augmented Large Language Models

Nan Duan, Pengcheng He, Nan Duan, 2023, ArXiv.

CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search

Weizhu Chen, Yelong Shen, Nan Duan, 2022, Conference on Empirical Methods in Natural Language Processing.

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Weizhu Chen, Yelong Shen, Nan Duan, 2023, ArXiv.

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers

Wayne Xin Zhao, Nan Duan, Daxin Jiang, 2022, ArXiv.

PROD: Progressive Distillation for Dense Retrieval

Anlei Dong, Rangan Majumder, Nan Duan, 2022, WWW.

Joint Generator-Ranker Learning for Natural Language Generation

Weizhu Chen, Yelong Shen, Nan Duan, 2022, ACL.

PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization

Pengcheng He, Nan Duan, Hai Zhao, 2023, ArXiv.

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning

Nan Duan, Yeyun Gong, Hang Zhang, 2022, ArXiv.

ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine pdf

Houqiang Li, Ming Zhou, Nan Duan, 2020, NLPCC.

Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing

Xiaola Lin, Guihong Cao, Bo Shao, 2020, AAAI.

Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching

Xiaola Lin, Nan Duan, Bo Shao, 2019, EMNLP.

KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning pdf

Timothy Baldwin, Nan Duan, Jian Jiao, 2021, ArXiv.

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph

H. Shum, Yeyun Gong, Chengjin Xu, 2023, ArXiv.

CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code Search

Xipeng Qiu, Weizhu Chen, Yelong Shen, 2022, 2201.10866.

CMMLU: Measuring massive multitask language understanding in Chinese

Tim Baldwin, Nan Duan, Yeyun Gong, 2023, ArXiv.

FastSeq: Make Sequence Generation Faster pdf

Nan Duan, Yu Yan, Yeyun Gong, 2021, ACL.

BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver

Nan Duan, Yeyun Gong, Xiao Liu, 2023, arXiv.org.

CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search

Weizhu Chen, Yelong Shen, Nan Duan, 2022, EMNLP.

A Generative Model for Identifying Target Companies of Microblogs

Xuanjing Huang, Qi Zhang, Ya Guo, 2014, COLING.

Time-aware Personalized Hashtag Recommendation on Social Media

Xuanjing Huang, Qi Zhang, Yeyun Gong, 2014, COLING.

Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing

Xiaola Lin, Nan Duan, Bo Shao, 2020, COLING.

Leveraging Document-Level Label Consistency for Named Entity Recognition

Xuanjing Huang, Tao Gui, Yaqian Zhou, 2020, IJCAI.

Uncertainty-Aware Label Refinement for Sequence Labeling pdf

Qi Zhang, Xuanjing Huang, Yeyun Gong, 2020, EMNLP.

Phrase-based hashtag recommendation for microblog posts

Xuanjing Huang, Qi Zhang, Xiaoying Han, 2016, Science China Information Sciences.

Hashtag recommendation for multimodal microblog posts

Xuanjing Huang, Qi Zhang, Yeyun Gong, 2018, Neurocomputing.

Classical Mongolian Words Recognition in Historical Document

Guanglai Gao, Xiangdong Su, Yeyun Gong, 2011, 2011 International Conference on Document Analysis and Recognition.

Retweet Behavior Prediction Using Hierarchical Dirichlet Process

Xuanjing Huang, Qi Zhang, Ya Guo, 2015, AAAI.

Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning pdf

Xiaocheng Feng, Nan Duan, Daxin Jiang, 2019, AAAI.

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Minlie Huang, Weizhu Chen, Yelong Shen, 2023, EMNLP.

Curriculum Sampling for Dense Retrieval with Document Expansion

Anlei Dong, S. Yiu, Nan Duan, 2022, EMNLP.

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Weizhu Chen, Yelong Shen, Nan Duan, 2023, ArXiv.

Where Are You From?

Xuanjing Huang, Qi Zhang, Yeyun Gong, 2019, Identifying, Describing, and Developing Teachers Who Are Gifted and Talented.

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models

Yelong Shen, Nan Duan, Yeyun Gong, 2023, ArXiv.

Question Generation With Doubly Adversarial Nets

Tiejun Zhao, Nan Duan, Ming Zhou, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Hierarchical Dirichlet Processes with Social Influence

Xuanjing Huang, Qi Zhang, Jin Qian, 2017, NLPCC.

CMMLU: Measuring massive multitask language understanding in Chinese

Tim Baldwin, Nan Duan, Yeyun Gong, 2023, ArXiv.

Query Rewriting for Retrieval-Augmented Large Language Models

Pengcheng He, Nan Duan, Yeyun Gong, 2023, ArXiv.

Allies: Prompting Large Language Model with Beam Search

Nan Duan, Yeyun Gong, Xiao Liu, 2023, EMNLP.

PROD: Progressive Distillation for Dense Retrieval

Anlei Dong, Rangan Majumder, Nan Duan, 2022, WWW.