Order-Disorder

Author:

Liu Jiawei1,Kang Yangyang2,Tang Di3,Song Kaisong4,Sun Changlong2,Wang Xiaofeng3,Lu Wei1,Liu Xiaozhong5

Affiliation:

1. Wuhan University, Wuhan, UNK, China

2. Alibaba Group, Hangzhou, UNK, China

3. Indiana University Bloomington, Bloomington, IN, USA

4. Northeastern University & Alibaba Group, Shenyang, UNK, China

5. Worcester Polytechnic Institute, Worcester, MA, USA

Funder

Alibaba Innovative Research Program

the National Natural Science Foundation of China

the National Key Research and Development Program of China

the Key Research and Development Plan of Zhejiang province

Publisher

ACM

Reference65 articles.

1. NimaAsadi and Jimmy J. Lin . 2013. Effectiveness/efficiency tradeoffs for candidate generation in multi-stage retrieval architectures . In The 36th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '13, Dublin, Ireland - July 28 - August 01, 2013 . ACM, 997--1000. NimaAsadi and Jimmy J. Lin. 2013. Effectiveness/efficiency tradeoffs for candidate generation in multi-stage retrieval architectures. In The 36th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '13, Dublin, Ireland - July 28 - August 01, 2013. ACM, 997--1000.

2. Yonatan Belinkov and Yonatan Bisk . 2018. Synthetic and Natural Noise Both Break Neural Machine Translation . In 6th International Conference on Learning Representations, ICLR 2018 , Vancouver, BC , Canada, April 30 - May 3, 2018, Conference Track Proceedings . Yonatan Belinkov and Yonatan Bisk. 2018. Synthetic and Natural Noise Both Break Neural Machine Translation. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings.

3. From ranknet to lambdarank to lambdamart: An overview;Burges Christopher JC;Learning,2010

4. Nicholas Carlini , Florian Tramer , Eric Wallace , Matthew Jagielski , Ariel Herbert- Voss , Katherine Lee , Adam Roberts , Tom Brown , Dawn Song , Ulfar Erlingsson , 2021 . Extracting training data from large language models . In 30th USENIX Security Symposium (USENIX Security 21) . 2633--2650. Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert- Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, et al. 2021. Extracting training data from large language models. In 30th USENIX Security Symposium (USENIX Security 21). 2633--2650.

5. Nick Craswell . 2009. Mean Reciprocal Rank . Springer US , Boston, MA , 1703. Nick Craswell. 2009. Mean Reciprocal Rank. Springer US, Boston, MA, 1703.

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