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Raymond Li

University of British Columbia

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



Nitarshan Rajkumar , Raymond Li , Dzmitry Bahdanau


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



Raymond Li , Wen Xiao , Lanjun Wang , Giuseppe Carenini


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



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

* 10 pages, 4 figures, accepted to EMNLP 2021 System Demonstration 

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ConVIScope: Visual Analytics for Exploring Patient Conversations



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

* 5 pages, 3 figures, accepted as short paper at IEEE VIS 2021 

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



Xiang Zhang , Alexandre Drouin , Raymond Li


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DuoRAT: Towards Simpler Text-to-SQL Models



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

* Code is available at https://github.com/ElementAI/duorat 

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Video Monitoring Queries



Nick Koudas , Raymond Li , Ioannis Xarchakos

* 12 pages, 14 figures, to be published in International Conference in Data Engineering (ICDE 2020) 

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On Extractive and Abstractive Neural Document Summarization with Transformer Language Models



Sandeep Subramanian , Raymond Li , Jonathan Pilault , Christopher Pal


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Towards Deep Conversational Recommendations



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

* 17 pages, 5 figures, Accepted at 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montr\'eal, Canada 

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