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2020 – today
- 2024
[j3]Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei:
Scaling Instruction-Finetuned Language Models. J. Mach. Learn. Res. 25: 70:1-70:53 (2024)- [j2]Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang:
A Survey on Data Selection for Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [c22]Ahmet Üstün, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker:
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. ACL (1) 2024: 15894-15939 - [c21]Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo:
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. EMNLP 2024: 4334-4353 - [c20]Seungone Kim, Jamin Shin, Yejin Choi, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo:
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models. ICLR 2024 - [c19]Niklas Muennighoff, Qian Liu, Armel Randy Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro von Werra, Shayne Longpre:
OctoPack: Instruction Tuning Code Large Language Models. ICLR 2024 - [c18]Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou:
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR 2024 - [c17]Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan:
Position: On the Societal Impact of Open Foundation Models. ICML 2024 - [c16]Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson:
Position: A Safe Harbor for AI Evaluation and Red Teaming. ICML 2024 - [c15]Shayne Longpre, Robert Mahari, Naana Obeng-Marnu, William Brannon, Tobin South, Katy Ilonka Gero, Alex Pentland, Jad Kabbara:
Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them? ICML 2024 - [c14]Riley Simmons-Edler, Ryan Paul Badman, Shayne Longpre, Kanaka Rajan:
Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research. ICML 2024 - [c13]Shayne Longpre, Gregory Yauney, Emily Reif, Katherine Lee, Adam Roberts, Barret Zoph, Denny Zhou, Jason Wei, Kevin Robinson, David Mimno, Daphne Ippolito:
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity. NAACL-HLT 2024: 3245-3276 - [i38]Ahmet Üstün, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker:
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. CoRR abs/2402.07827 (2024) - [i37]Rishi Bommasani, Kevin Klyman, Shayne Longpre, Betty Xiong, Sayash Kapoor, Nestor Maslej, Arvind Narayanan, Percy Liang:
Foundation Model Transparency Reports. CoRR abs/2402.16268 (2024) - [i36]Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang:
A Survey on Data Selection for Language Models. CoRR abs/2402.16827 (2024) - [i35]Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson:
A Safe Harbor for AI Evaluation and Red Teaming. CoRR abs/2403.04893 (2024) - [i34]Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan:
On the Societal Impact of Open Foundation Models. CoRR abs/2403.07918 (2024) - [i33]Shayne Longpre, Robert Mahari, Naana Obeng-Marnu, William Brannon, Tobin South, Katy Ilonka Gero, Sandy Pentland, Jad Kabbara:
Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them? CoRR abs/2404.12691 (2024) - [i32]Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo:
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. CoRR abs/2405.01535 (2024) - [i31]Riley Simmons-Edler, Ryan Paul Badman, Shayne Longpre, Kanaka Rajan:
AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research. CoRR abs/2405.01859 (2024) - [i30]Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo:
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. CoRR abs/2406.05761 (2024) - [i29]Shayne Longpre, Stella Biderman, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Ifeoluwa Adelani, Percy Liang, Rishi Bommasani, Peter Henderson, Sasha Luccioni, Yacine Jernite, Luca Soldaini:
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources. CoRR abs/2406.16746 (2024) - [i28]Rishi Bommasani, Kevin Klyman, Sayash Kapoor, Shayne Longpre, Betty Xiong, Nestor Maslej, Percy Liang:
The Foundation Model Transparency Index v1.1: May 2024. CoRR abs/2407.12929 (2024) - [i27]Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland:
Consent in Crisis: The Rapid Decline of the AI Data Commons. CoRR abs/2407.14933 (2024) - [i26]Hamidah Oderinwale, Shayne Longpre:
Future and AI-Ready Data Strategies: Response to DOC RFI on AI and Open Government Data Assets. CoRR abs/2408.01457 (2024) - 2023
- [c12]Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts:
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning. ICML 2023: 22631-22648 - [i25]Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts:
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning. CoRR abs/2301.13688 (2023) - [i24]Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai
, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Sasha Luccioni, Yacine Jernite:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. CoRR abs/2303.03915 (2023) - [i23]Shayne Longpre, Gregory Yauney, Emily Reif, Katherine Lee, Adam Roberts, Barret Zoph, Denny Zhou, Jason Wei, Kevin Robinson, David Mimno, Daphne Ippolito:
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity. CoRR abs/2305.13169 (2023) - [i22]Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou:
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR abs/2305.14705 (2023) - [i21]Niklas Muennighoff, Qian Liu, Armel Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro von Werra, Shayne Longpre:
OctoPack: Instruction Tuning Code Large Language Models. CoRR abs/2308.07124 (2023) - [i20]Seungone Kim, Jamin Shin, Yejin Cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo:
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models. CoRR abs/2310.08491 (2023) - [i19]Rishi Bommasani, Kevin Klyman, Shayne Longpre, Sayash Kapoor, Nestor Maslej, Betty Xiong, Daniel Zhang, Percy Liang:
The Foundation Model Transparency Index. CoRR abs/2310.12941 (2023) - [i18]Shayne Longpre, Robert Mahari, Anthony Chen, Naana Obeng-Marnu, Damien Sileo, William Brannon, Niklas Muennighoff, Nathan Khazam, Jad Kabbara, Kartik Perisetla, Xinyi Wu, Enrico Shippole, Kurt D. Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Deb Roy, Sara Hooker:
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI. CoRR abs/2310.16787 (2023) - 2022
- [c11]Rajiv Movva, Jinhao Lei, Shayne Longpre, Ajay Gupta, Chris DuBois:
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks. COLING 2022: 2861-2872 - [c10]Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. NeurIPS 2022 - [i17]Shayne Longpre, Julia Reisler, Edward Greg Huang, Yi Lu, Andrew J. Frank, Nikhil Ramesh, Chris DuBois:
Active Learning Over Multiple Domains in Natural Language Tasks. CoRR abs/2202.00254 (2022) - [i16]Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, Eunsol Choi:
MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages. CoRR abs/2207.00758 (2022) - [i15]Rajiv Movva, Jinhao Lei, Shayne Longpre, Ajay Gupta, Chris DuBois:
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks. CoRR abs/2208.09684 (2022) - [i14]Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei:
Scaling Instruction-Finetuned Language Models. CoRR abs/2210.11416 (2022) - 2021
- [j1]Shayne Longpre, Yi Lu, Joachim Daiber:
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering. Trans. Assoc. Comput. Linguistics 9: 1389-1406 (2021) - [c9]Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, Sameer Singh:
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP. ACL/IJCNLP (1) 2021: 4472-4485 - [c8]Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu, Shayne Longpre:
A Comparison of Question Rewriting Methods for Conversational Passage Retrieval. ECIR (2) 2021: 418-424 - [c7]Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh:
Entity-Based Knowledge Conflicts in Question Answering. EMNLP (1) 2021: 7052-7063 - [c6]Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, Shayne Longpre, Stephen Pulman, Srinivas Chappidi:
Open-Domain Question Answering Goes Conversational via Question Rewriting. NAACL-HLT 2021: 520-534 - [c5]Shayne Longpre, Yi Lu, Chris DuBois:
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering. NAACL-HLT 2021: 1288-1300 - [c4]Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha:
Question Rewriting for Conversational Question Answering. WSDM 2021: 355-363 - [i13]Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu, Shayne Longpre:
A Comparison of Question Rewriting Methods for Conversational Passage Retrieval. CoRR abs/2101.07382 (2021) - [i12]Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu, Shayne Longpre:
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval. CoRR abs/2102.08795 (2021) - [i11]Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, Sameer Singh:
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP. CoRR abs/2106.06830 (2021) - [i10]Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh:
Entity-Based Knowledge Conflicts in Question Answering. CoRR abs/2109.05052 (2021) - 2020
- [c3]Shayne Longpre, Yu Wang, Chris DuBois:
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? EMNLP (Findings) 2020: 4401-4411 - [c2]Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu, Shayne Longpre:
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval. TREC 2020 - [i9]Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha:
Question Rewriting for Conversational Question Answering. CoRR abs/2004.14652 (2020) - [i8]Shayne Longpre, Yi Lu, Joachim Daiber:
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering. CoRR abs/2007.15207 (2020) - [i7]Shayne Longpre, Yi Lu, Christopher DuBois:
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering. CoRR abs/2009.08070 (2020) - [i6]Shayne Longpre, Yu Wang, Christopher DuBois:
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? CoRR abs/2010.01764 (2020) - [i5]Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, Shayne Longpre, Stephen Pulman, Srinivas Chappidi:
Open-Domain Question Answering Goes Conversational via Question Rewriting. CoRR abs/2010.04898 (2020) - [i4]Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha:
A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering. CoRR abs/2010.06835 (2020) - [i3]Ivan Montero, Shayne Longpre, Ni Lao, Andrew J. Frank, Christopher DuBois:
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval. CoRR abs/2012.14094 (2020)
2010 – 2019
- 2019
- [c1]Shayne Longpre, Yi Lu, Zhucheng Tu, Chris DuBois:
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering. MRQA@EMNLP 2019: 220-227 - [i2]Shayne Longpre, Yi Lu, Zhucheng Tu, Chris DuBois:
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering. CoRR abs/1912.02145 (2019) - 2016
- [i1]Shayne Longpre, Sabeek Pradhan, Caiming Xiong, Richard Socher:
A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs. CoRR abs/1611.05104 (2016)
Coauthor Index
Christopher DuBois
aka: Chris DuBois
aka: Chris DuBois
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