Zeqi Lin

Principal Researcher

Publications

Afficher par:

- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
  
  Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Hassan Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahmoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Xihui (Eric) Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Olatunji Ruwase, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Weijian Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yunan Zhang, Xiren Zhou
  
  MSR-TR-2024-12 | August 2024
  
  Publié par Microsoft
  
  Publication Vidéo Accès Projet
- Make Your LLM Fully Utilize the Context
  
  Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou
  
  NeurIPS 2024 | April 2024
  
  DOI Publication Publication
- How Do In-Context Examples Affect Compositional Generalization?
  
  Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
  
  ACL 2023 | June 2023
  
  Publication
- Making Language Models Better Reasoners with Step-Aware Verifier
  
  Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen
  
  ACL 2023 | June 2023
  
  Publication
- Reasoning Like Program Executors
  
  Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Yan Gao, Qiang Fu, Jian-Guang Lou, Weizhu Chen
  
  EMNLP2022 | October 2022
  
  Publication
- Nufix: Escape From NuGet Dependency Maze
  
  Zhenming Li, Ying Wang, Zeqi Lin, Shing-Chi Cheung, Jian-Guang Lou
  
  2022 International Conference on Software Engineering | May 2022
  
  Publication
- TAPEX: Table Pre-training via Learning a Neural SQL Executor
  
  Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou
  
  ICLR 2022 | April 2022
  
  Publication
- Can neural clone detection generalize to unseen functionalities?
  
  Chenyao Liu, Jian-Guang Lou, Zeqi Lin, Lijie Wen, Dongmei Zhang
  
  2021 Automated Software Engineering | November 2021
  
  Author's Version
- Learning Algebraic Recombination for Compositional Generalization
  
  Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
  
  ACL-IJCNLP 2021 (findings) | July 2021
  
  Publication Projet
- Iterative Utterance Segmentation for Neural Semantic Parsing
  
  Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
  
  AAAI'21 | February 2021
  
  Author's Version Projet
- Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
  
  Yinuo GUO, Hualei ZHU, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
  
  AAAI'21 | February 2021
  
  Author's Version Projet
- Compositional Generalization by Learning Analytical Expressions
  
  Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang
  
  NeurIPS 2020 (spotlight paper) | November 2020
  
  Publication Projet
- Hierarchical Poset Decoding for Compositional Generalization in Language
  
  Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
  
  NeurIPS'20 | November 2020
  
  Publication Projet

- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
  
  Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Hassan Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahmoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Xihui (Eric) Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Olatunji Ruwase, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Weijian Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yunan Zhang, Xiren Zhou
  
  MSR-TR-2024-12 | August 2024
  
  Publié par Microsoft
  
  Publication Vidéo Accès Projet
- Make Your LLM Fully Utilize the Context
  
  Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou
  
  NeurIPS 2024 | April 2024
  
  DOI Publication Publication
- How Do In-Context Examples Affect Compositional Generalization?
  
  Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
  
  ACL 2023 | June 2023
  
  Publication
- Making Language Models Better Reasoners with Step-Aware Verifier
  
  Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen
  
  ACL 2023 | June 2023
  
  Publication
- Reasoning Like Program Executors
  
  Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Yan Gao, Qiang Fu, Jian-Guang Lou, Weizhu Chen
  
  EMNLP2022 | October 2022
  
  Publication
- TAPEX: Table Pre-training via Learning a Neural SQL Executor
  
  Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou
  
  ICLR 2022 | April 2022
  
  Publication
- Learning Algebraic Recombination for Compositional Generalization
  
  Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
  
  ACL-IJCNLP 2021 (findings) | July 2021
  
  Publication Projet
- Iterative Utterance Segmentation for Neural Semantic Parsing
  
  Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
  
  AAAI'21 | February 2021
  
  Author's Version Projet
- Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
  
  Yinuo GUO, Hualei ZHU, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
  
  AAAI'21 | February 2021
  
  Author's Version Projet
- Compositional Generalization by Learning Analytical Expressions
  
  Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang
  
  NeurIPS 2020 (spotlight paper) | November 2020
  
  Publication Projet
- Hierarchical Poset Decoding for Compositional Generalization in Language
  
  Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
  
  NeurIPS'20 | November 2020
  
  Publication Projet
- How Do In-Context Examples Affect Compositional Generalization?
  
  Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
  
  ACL 2023 | June 2023
  
  Publication
- Learning Algebraic Recombination for Compositional Generalization
  
  Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
  
  ACL-IJCNLP 2021 (findings) | July 2021
  
  Publication Projet
- Nufix: Escape From NuGet Dependency Maze
  
  Zhenming Li, Ying Wang, Zeqi Lin, Shing-Chi Cheung, Jian-Guang Lou
  
  2022 International Conference on Software Engineering | May 2022
  
  Publication
- Can neural clone detection generalize to unseen functionalities?
  
  Chenyao Liu, Jian-Guang Lou, Zeqi Lin, Lijie Wen, Dongmei Zhang
  
  2021 Automated Software Engineering | November 2021
  
  Author's Version

- Make Your LLM Fully Utilize the Context
  
  Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou
  
  NeurIPS 2024 | April 2024
  
  DOI Publication Publication
- How Do In-Context Examples Affect Compositional Generalization?
  
  Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
  
  ACL 2023 | June 2023
  
  Publication
- Making Language Models Better Reasoners with Step-Aware Verifier
  
  Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen
  
  ACL 2023 | June 2023
  
  Publication
- Reasoning Like Program Executors
  
  Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Yan Gao, Qiang Fu, Jian-Guang Lou, Weizhu Chen
  
  EMNLP2022 | October 2022
  
  Publication
- Nufix: Escape From NuGet Dependency Maze
  
  Zhenming Li, Ying Wang, Zeqi Lin, Shing-Chi Cheung, Jian-Guang Lou
  
  2022 International Conference on Software Engineering | May 2022
  
  Publication
- TAPEX: Table Pre-training via Learning a Neural SQL Executor
  
  Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou
  
  ICLR 2022 | April 2022
  
  Publication
- Can neural clone detection generalize to unseen functionalities?
  
  Chenyao Liu, Jian-Guang Lou, Zeqi Lin, Lijie Wen, Dongmei Zhang
  
  2021 Automated Software Engineering | November 2021
  
  Author's Version
- Learning Algebraic Recombination for Compositional Generalization
  
  Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
  
  ACL-IJCNLP 2021 (findings) | July 2021
  
  Publication Projet
- Iterative Utterance Segmentation for Neural Semantic Parsing
  
  Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
  
  AAAI'21 | February 2021
  
  Author's Version Projet
- Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
  
  Yinuo GUO, Hualei ZHU, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
  
  AAAI'21 | February 2021
  
  Author's Version Projet
- Compositional Generalization by Learning Analytical Expressions
  
  Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang
  
  NeurIPS 2020 (spotlight paper) | November 2020
  
  Publication Projet
- Hierarchical Poset Decoding for Compositional Generalization in Language
  
  Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
  
  NeurIPS'20 | November 2020
  
  Publication Projet
- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
  
  Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Hassan Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahmoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Xihui (Eric) Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Olatunji Ruwase, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Weijian Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yunan Zhang, Xiren Zhou
  
  MSR-TR-2024-12 | August 2024
  
  Publié par Microsoft
  
  Publication Vidéo Accès Projet

Zeqi Lin

Publications

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Make Your LLM Fully Utilize the Context

How Do In-Context Examples Affect Compositional Generalization?

Making Language Models Better Reasoners with Step-Aware Verifier

Reasoning Like Program Executors

Nufix: Escape From NuGet Dependency Maze

TAPEX: Table Pre-training via Learning a Neural SQL Executor

Can neural clone detection generalize to unseen functionalities?

Learning Algebraic Recombination for Compositional Generalization

Iterative Utterance Segmentation for Neural Semantic Parsing

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

Compositional Generalization by Learning Analytical Expressions

Hierarchical Poset Decoding for Compositional Generalization in Language

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Make Your LLM Fully Utilize the Context

How Do In-Context Examples Affect Compositional Generalization?

Making Language Models Better Reasoners with Step-Aware Verifier

Reasoning Like Program Executors

TAPEX: Table Pre-training via Learning a Neural SQL Executor

Learning Algebraic Recombination for Compositional Generalization

Iterative Utterance Segmentation for Neural Semantic Parsing

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

Compositional Generalization by Learning Analytical Expressions

Hierarchical Poset Decoding for Compositional Generalization in Language

How Do In-Context Examples Affect Compositional Generalization?

Learning Algebraic Recombination for Compositional Generalization

Nufix: Escape From NuGet Dependency Maze

Can neural clone detection generalize to unseen functionalities?

Make Your LLM Fully Utilize the Context

How Do In-Context Examples Affect Compositional Generalization?

Making Language Models Better Reasoners with Step-Aware Verifier

Reasoning Like Program Executors

Nufix: Escape From NuGet Dependency Maze

TAPEX: Table Pre-training via Learning a Neural SQL Executor

Can neural clone detection generalize to unseen functionalities?

Learning Algebraic Recombination for Compositional Generalization

Iterative Utterance Segmentation for Neural Semantic Parsing

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

Compositional Generalization by Learning Analytical Expressions

Hierarchical Poset Decoding for Compositional Generalization in Language

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone