Raymond Li

48 papers A* 5B 1Misc 1Journal 31Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improving Neural Topic Modeling with Semantically-Grounded Soft Label Distributions.
CoRR
Raymond Li, Amirhossein Abaskohi, Chuyuan Li, Gabriel Murray, Giuseppe Carenini
2025 J jnl
Apriel-H1: Towards Efficient Enterprise Reasoning Models.
CoRR
Oleksiy Ostapenko, Luke Kumar, Raymond Li, Denis Kocetkov, Joel Lamy-Poirier, Shruthan Radhakrishna, Soham Parikh, Shambhavi Mishra, Sébastien Paquet, Srinivas Sunkara, Valérie Bécaert, Sathwik Tejaswi Madhusudhan, Torsten Scholak
2025 J jnl
Apriel-Nemotron-15B-Thinker.
CoRR
Shruthan Radhakrishna, Soham Parikh, Gopal Sarda, Anil Turkkan, Quaizar Vohra, Raymond Li, Dhruv Jhamb, Kelechi Ogueji, Aanjaneya Shukla, Oluwanifemi Bamgbose, Toby Liang, Luke Kumar, Oleksiy Ostapenko, Shiva Krishna Reddy Malay, Aman Tiwari, Tara Bogavelli, Vikas Yadav, Jash Mehta, Saloni Mittal, Akshay Kalkunte, Pulkit Pattnaik, Khalil Slimi, Anirudh Sreeram, Jishnu Sethumadhavan Nair, Akintunde Oladipo, Shashank Maiya, Khyati Mahajan, Rishabh Maheshwary, Masoud Hashemi, Sai Rajeswar Mudumba, Sathwik Tejaswi Madhusudhan, Torsten Scholak, Sébastien Paquet, Sagar Davasam, Srinivas Sunkara
2025 A* conf
CEMTM: Contextual Embedding-based Multimodal Topic Modeling.
EMNLP
Amirhossein Abaskohi, Raymond Li, Chuyuan Li, Shafiq Joty, Giuseppe Carenini
2025 J jnl
CEMTM: Contextual Embedding-based Multimodal Topic Modeling.
CoRR
Amirhossein Abaskohi, Raymond Li, Chuyuan Li, Shafiq Joty, Giuseppe Carenini
2025 B conf
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning.
COLING
Raymond Li, Yuxi Feng, Zhenan Fan, Giuseppe Carenini, Weiwei Zhang, Mohammadreza Pourreza, Yong Zhang
2025 — conf
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer's Disease Detection.
ACL (1)
Chuyuan Li, Raymond Li, Thalia Shoshana Field, Giuseppe Carenini
2025 J jnl
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer's Disease Detection.
CoRR
Chuyuan Li, Raymond Li, Thalia Shoshana Field, Giuseppe Carenini
2025 — conf
Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models.
ACL (Findings)
Raymond Li, Chuyuan Li, Gabriel Murray, Giuseppe Carenini
2025 J jnl
Generative Machine Learning Models for the Deconvolution of Charge Carrier Dynamics in Organic Photovoltaic Cells.
CoRR
Raymond Li, Flora Salim, Sijin Wang, Wright Brendan
2025 J jnl
Multi
CoRR
Juntai Cao, Xiang Zhang, Raymond Li, Chuyuan Li, Shafiq Joty, Giuseppe Carenini
2025 J jnl
Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training.
CoRR
Oleksiy Ostapenko, Charles Guille-Escuret, Luke Kumar, Max Tian, Denis Kocetkov, Gopeshh Subbaraj, Raymond Li, Joel Lamy-Poirier, Sébastien Paquet, Torsten Scholak
2024 J jnl
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning.
CoRR
Yuxi Feng, Raymond Li, Zhenan Fan, Giuseppe Carenini, Mohammadreza Pourreza, Weiwei Zhang, Yong Zhang
2024 J jnl
SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder.
CoRR
Mohammadreza Pourreza, Davood Rafiei, Yuxi Feng, Raymond Li, Zhenan Fan, Weiwei Zhang
2024 J jnl
StarCoder 2 and The Stack v2: The Next Generation.
CoRR
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.
2023 A* conf
Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks.
ICRA
David Valencia, John Jia, Raymond Li, Alex Hayashi, Megan Lecchi, Reuel Terezakis, Trevor Gee, Minas V. Liarokapis, Bruce A. MacDonald, Henry Williams
2023 — conf
Diversity-Aware Coherence Loss for Improving Neural Topic Models.
ACL (2)
Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini
2023 J jnl
Diversity-Aware Coherence Loss for Improving Neural Topic Models.
CoRR
Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini
2023 — conf
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models.
EMNLP (Findings)
Raymond Li, Gabriel Murray, Giuseppe Carenini
2023 J jnl
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models.
CoRR
Raymond Li, Gabriel Murray, Giuseppe Carenini
2023 J jnl
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.
CoRR
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
2023 J jnl
SantaCoder: don't reach for the stars!
CoRR
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
2023 J jnl
StarCoder: may the source be with you!
CoRR
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 Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Moustafa-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
2023 J jnl
StarCoder: may the source be with you!
Trans. Mach. Learn. Res.
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
2023 J jnl
The Stack: 3 TB of permissively licensed source code.
Trans. Mach. Learn. Res.
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
2023 J jnl
Visual Analytics for Generative Transformer Models.
CoRR
Raymond Li, Ruixin Yang, Wen Xiao, Ahmed AbuRa'ed, Gabriel Murray, Giuseppe Carenini
2022 J jnl
Evaluating the Text-to-SQL Capabilities of Large Language Models.
CoRR
Nitarshan Rajkumar, Raymond Li, Dzmitry Bahdanau
2022 A* conf
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation.
EMNLP
Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray, Giuseppe Carenini
2022 — conf
OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction.
ML4H@NeurIPS
Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan
2022 J jnl
OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction.
CoRR
Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan
2022 J jnl
The Stack: 3 TB of permissively licensed source code.
CoRR
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
2022 J jnl
Video Monitoring Queries.
IEEE Trans. Knowl. Data Eng.
Nick Koudas, Raymond Li, Ioannis Xarchakos
2021 — conf
ConVIScope: Visual Analytics for Exploring Patient Conversations.
IEEE VIS (Short Papers)
Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau
2021 J jnl
ConVIScope: Visual Analytics for Exploring Patient Conversations.
CoRR
Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau
2021 — conf
DuoRAT: Towards Simpler Text-to-SQL Models.
NAACL-HLT
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal
2021 J jnl
Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization.
CoRR
Raymond Li, Wen Xiao, Lanjun Wang, Giuseppe Carenini
2021 — conf
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.
NeurIPS (Competition and Demos)
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
2021 J jnl
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP.
CoRR
Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini
2021 — conf
T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP.
EMNLP (Demos)
Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini
2021 J jnl
byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings.
CoRR
Xiang Zhang, Alexandre Drouin, Raymond Li
2020 J jnl
DuoRAT: Towards Simpler Text-to-SQL Models.
CoRR
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal
2020 — conf
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models.
EMNLP (1)
Jonathan Pilault, Raymond Li, Sandeep Subramanian, Chris Pal
2020 A* conf
Video Monitoring Queries.
ICDE
Nick Koudas, Raymond Li, Ioannis Xarchakos
2020 J jnl
Video Monitoring Queries.
CoRR
Nick Koudas, Raymond Li, Ioannis Xarchakos
2019 J jnl
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models.
CoRR
Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher J. Pal
2018 A* conf
Towards Deep Conversational Recommendations.
NeurIPS
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal
2018 J jnl
Towards Deep Conversational Recommendations.
CoRR
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal
2003 Misc conf
Template Directed Development of Web-Based Information Systems.
IKE
Ajit Singh, Raymond Li