Raymond Li

According to our database, Raymond Li authored at least 25 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning.

Yuxi Feng, Raymond Li, Zhenan Fan, Giuseppe Carenini, Mohammadreza Pourreza, Weiwei Zhang, Yong Zhang

CoRR, 2024

SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder.

Mohammadreza Pourreza, Davood Rafiei, Yuxi Feng, Raymond Li, Zhenan Fan, Weiwei Zhang

CoRR, 2024

StarCoder 2 and The Stack v2: The Next Generation.

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.

CoRR, 2024

2023

StarCoder: may the source be with you!

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

Trans. Mach. Learn. Res., 2023

The Stack: 3 TB of permissively licensed source code.

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

Trans. Mach. Learn. Res., 2023

Visual Analytics for Generative Transformer Models.

Raymond Li, Ruixin Yang, Wen Xiao, Ahmed AbuRa'ed, Gabriel Murray, Giuseppe Carenini

CoRR, 2023

SantaCoder: don't reach for the stars!

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, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, Leandro von Werra

CoRR, 2023

Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks.

David Valencia, John Jia, Raymond Li, Alex Hayashi, Megan Lecchi, Reuel Terezakis, Trevor Gee, Minas V. Liarokapis, Bruce A. MacDonald, Henry Williams

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models.

Raymond Li, Gabriel Murray, Giuseppe Carenini

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Diversity-Aware Coherence Loss for Improving Neural Topic Models.

Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Video Monitoring Queries.

Nick Koudas, Raymond Li, Ioannis Xarchakos

IEEE Trans. Knowl. Data Eng., 2022

OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction.

Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan

CoRR, 2022

Evaluating the Text-to-SQL Capabilities of Large Language Models.

Nitarshan Rajkumar, Raymond Li, Dzmitry Bahdanau

CoRR, 2022

OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction.

Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan

Proceedings of the Machine Learning for Health, 2022

Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation.

Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray, Giuseppe Carenini

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization.

Raymond Li, Wen Xiao, Lanjun Wang, Giuseppe Carenini

CoRR, 2021

T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP.

Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini

CoRR, 2021

byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings.

Xiang Zhang, Alexandre Drouin, Raymond Li

CoRR, 2021

ConVIScope: Visual Analytics for Exploring Patient Conversations.

Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau

Proceedings of the 2021 IEEE Visualization Conference, 2021

NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

DuoRAT: Towards Simpler Text-to-SQL Models.

Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP.

Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

2020

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models.

Jonathan Pilault, Raymond Li, Sandeep Subramanian, Chris Pal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018

Towards Deep Conversational Recommendations.

Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2003

Template Directed Development of Web-Based Information Systems.

Ajit Singh, Raymond Li

Proceedings of the International Conference on Information and Knowledge Engineering. IKE'03, June 23, 2003