Nan Yang

Affiliations:
  • Microsoft Research, Beijing, China
  • University of Science and Technology of China, Hefei, China (PhD 2014)


According to our database1, Nan Yang authored at least 50 papers between 2012 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fine-tuning pretrained transformer encoders for sequence-to-sequence learning.
Int. J. Mach. Learn. Cybern., May, 2024

Generative Representational Instruction Tuning.
CoRR, 2024

Multilingual E5 Text Embeddings: A Technical Report.
CoRR, 2024

Improving Text Embeddings with Large Language Models.
CoRR, 2024

Learning to Retrieve In-Context Examples for Large Language Models.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Learning to Rank in Generative Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Large Search Model: Redefining Search Stack in the Era of LLMs.
SIGIR Forum, December, 2023

Generative retrieval for conversational question answering.
Inf. Process. Manag., September, 2023

Fine-Tuning LLaMA for Multi-Stage Text Retrieval.
CoRR, 2023

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training.
CoRR, 2023

Learning to Rank in Generative Retrieval.
CoRR, 2023

Inference with Reference: Lossless Acceleration of Large Language Models.
CoRR, 2023

Query2doc: Query Expansion with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multiview Identifiers Enhanced Generative Retrieval.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Text Embeddings by Weakly-Supervised Contrastive Pre-training.
CoRR, 2022

Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval.
CoRR, 2022

2021
s2s-ft: Fine-Tuning Pretrained Transformer Encoders for Sequence-to-Sequence Learning.
CoRR, 2021

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Joint Sentence Scoring and Selection Framework for Neural Extractive Document Summarization.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Unified Language Model Pre-training for Natural Language Understanding and Generation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Read + Verify: Machine Reading Comprehension with Unanswerable Questions.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Dependency-to-Dependency Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Context-Aware Answer Sentence Selection With Hierarchical Gated Recurrent Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Read + Verify: Machine Reading Comprehension with Unanswerable Questions.
CoRR, 2018

I Know There Is No Answer: Modeling Answer Validation for Machine Reading Comprehension.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Attention-Guided Answer Distillation for Machine Reading Comprehension.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Document Summarization by Jointly Learning to Score and Select Sentences.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Sequential Copying Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension.
CoRR, 2017

Neural Question Generation from Text: A Preliminary Study.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Selective Encoding for Abstractive Sentence Summarization.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Sequence-to-Dependency Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Gated Self-Matching Networks for Reading Comprehension and Question Answering.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Sentiment Embeddings with Applications to Sentiment Analysis.
IEEE Trans. Knowl. Data Eng., 2016

Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation.
Proceedings of the COLING 2016, 2016

Jointly Modeling Topics and Intents with Global Order Structure.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Radical-Enhanced Chinese Character Embedding.
CoRR, 2014

Radical-Enhanced Chinese Character Embedding.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

A Recursive Recurrent Neural Network for Statistical Machine Translation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Punctuation Prediction with Transition-based Parsing.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Word Alignment Modeling with Context Dependent Deep Neural Network.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
A Ranking-based Approach to Word Reordering for Statistical Machine Translation.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012


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