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Raymond Li
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2020 – today
- 2024
- [i20]Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu
, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.:
StarCoder 2 and The Stack v2: The Next Generation. CoRR abs/2402.19173 (2024) - [i19]Mohammadreza Pourreza, Davood Rafiei, Yuxi Feng, Raymond Li, Zhenan Fan, Weiwei Zhang:
SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder. CoRR abs/2403.16204 (2024) - [i18]Yuxi Feng, Raymond Li, Zhenan Fan, Giuseppe Carenini, Mohammadreza Pourreza, Weiwei Zhang, Yong Zhang:
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning. CoRR abs/2406.07913 (2024) - 2023
- [j3]Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Yacine Jernite, Margaret Mitchell, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro von Werra, Harm de Vries:
The Stack: 3 TB of permissively licensed source code. Trans. Mach. Learn. Res. 2023 (2023) - [j2]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries:
StarCoder: may the source be with you! Trans. Mach. Learn. Res. 2023 (2023) - [c13]Raymond Li, Felipe González-Pizarro
Diversity-Aware Coherence Loss for Improving Neural Topic Models. ACL (2) 2023: 1710-1722 - [c12]Raymond Li, Gabriel Murray, Giuseppe Carenini:
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models. EMNLP (Findings) 2023: 9456-9469 - [c11]David Valencia, John Jia, Raymond Li, Alex Hayashi, Megan Lecchi, Reuel Terezakis, Trevor Gee, Minas V. Liarokapis, Bruce A. MacDonald, Henry Williams
Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks. ICRA 2023: 871-878 - [i17]Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Muñoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy-Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca
SantaCoder: don't reach for the stars! CoRR abs/2301.03988 (2023) - [i16]Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. CoRR abs/2303.08233 (2023) - [i15]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin
StarCoder: may the source be with you! CoRR abs/2305.06161 (2023) - [i14]Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini:
Diversity-Aware Coherence Loss for Improving Neural Topic Models. CoRR abs/2305.16199 (2023) - [i13]Raymond Li, Gabriel Murray, Giuseppe Carenini:
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models. CoRR abs/2310.16240 (2023) - [i12]Raymond Li, Ruixin Yang
Visual Analytics for Generative Transformer Models. CoRR abs/2311.12418 (2023) - 2022
- [j1]Nick Koudas
Video Monitoring Queries. IEEE Trans. Knowl. Data Eng. 34(10): 5023-5036 (2022) - [c10]Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray, Giuseppe Carenini:
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation. EMNLP 2022: 10189-10204 - [c9]Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan:
OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction. ML4H@NeurIPS 2022: 373-390 - [i11]Nitarshan Rajkumar, Raymond Li, Dzmitry Bahdanau:
Evaluating the Text-to-SQL Capabilities of Large Language Models. CoRR abs/2204.00498 (2022) - [i10]Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan:
OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction. CoRR abs/2207.05817 (2022) - [i9]Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Carlos Muñoz Ferrandis, Yacine Jernite, Margaret Mitchell, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro von Werra, Harm de Vries:
The Stack: 3 TB of permissively licensed source code. CoRR abs/2211.15533 (2022) - 2021
- [c8]Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini:
T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP. EMNLP (Demos) 2021: 220-230 - [c7]Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal:
DuoRAT: Towards Simpler Text-to-SQL Models. NAACL-HLT 2021: 1313-1321 - [c6]Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang:
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. NeurIPS (Competition and Demos) 2021: 189-203 - [c5]Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau:
ConVIScope: Visual Analytics for Exploring Patient Conversations. IEEE VIS (Short Papers) 2021: 151-155 - [i8]Xiang Zhang, Alexandre Drouin, Raymond Li:
byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings. CoRR abs/2106.13302 (2021) - [i7]Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau:
ConVIScope: Visual Analytics for Exploring Patient Conversations. CoRR abs/2108.13514 (2021) - [i6]Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini:
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP. CoRR abs/2108.13587 (2021) - [i5]Raymond Li, Wen Xiao, Lanjun Wang, Giuseppe Carenini:
Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization. CoRR abs/2112.05364 (2021) - 2020
- [c4]Jonathan Pilault, Raymond Li, Sandeep Subramanian, Chris Pal:
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. EMNLP (1) 2020: 9308-9319 - [c3]Nick Koudas, Raymond Li, Ioannis Xarchakos:
Video Monitoring Queries. ICDE 2020: 1285-1296 - [i4]Nick Koudas, Raymond Li, Ioannis Xarchakos:
Video Monitoring Queries. CoRR abs/2002.10537 (2020) - [i3]Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal:
DuoRAT: Towards Simpler Text-to-SQL Models. CoRR abs/2010.11119 (2020)
2010 – 2019
- 2019
- [i2]Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher J. Pal:
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. CoRR abs/1909.03186 (2019) - 2018
- [c2]Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal:
Towards Deep Conversational Recommendations. NeurIPS 2018: 9748-9758 - [i1]Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal:
Towards Deep Conversational Recommendations. CoRR abs/1812.07617 (2018)
2000 – 2009
- 2003
- [c1]Ajit Singh, Raymond Li:
Template Directed Development of Web-Based Information Systems. IKE 2003: 686-692
Coauthor Index
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last updated on 2024-10-12 22:56 CEST by the dblp team
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