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ServiceNow AI Research
Natural Language Processing
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks …
Andrew Williams
,
Arjun Ashok
,
Étienne Marcotte
,
Valentina Zantedeschi
,
Jithendaraa Subramanian
,
Roland Riachi
,
James Requeima
,
Alexandre Lacoste
,
Irina Rish
,
Nicolas Chapados
,
Alexandre Drouin
Montreal AI Symposium (MAIS), 2024.
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LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Large decoder-only language models (LLMs) are the state-of-the-art models on most of today’s NLP tasks and benchmarks. Yet, the …
Parishad BehnamGhader
,
Vaibhav Adlakha
,
Marius Mosbach
,
Dzmitry Bahdanau
,
Nicolas Chapados
,
Siva Reddy
Conference on Language Modeling (COLM), 2024.
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Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
Retriever-augmented instruction-following models are attractive alternatives to fine-tuned approaches for information-seeking tasks …
Vaibhav Adlakha
,
Parishad BehnamGhader
,
Xing Han Lu
,
Nicholas Meade
,
Siva Reddy
Annual Meeting of the Association for Computational Linguistics (ACL), 2024.
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WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
We study the use of large language model-based agents for interacting with software via web browsers. Unlike prior work, we focus on …
Alexandre Drouin
,
Maxime Gasse
,
Massimo Caccia
,
Issam H. Laradji
,
Manuel Del Verme
,
Tom Marty
,
Léo Boisvert
,
Megh Thakkar
,
Quentin Cappart
,
David Vazquez
,
Nicolas Chapados
,
Alexandre Lacoste
International Conference on Machine Learning (ICML), 2024.
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Video
Evaluating In-Context Learning of Libraries for Code Generation
Contemporary Large Language Models (LLMs) exhibit a high degree of code generation and comprehension capability. A particularly …
Arkil Patel
,
Siva Reddy
,
Dzmitry Bahdanau
,
Pradeep Dasigi
North American Chapter of the Association for Computational Linguistics (NAACL), 2024.
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IntentGPT: Few-shot Intent Discovery with Large Language Models
In today’s digitally driven world, dialogue systems play a pivotal role in enhancing user interactions, from customer service to …
Juan A. Rodriguez
,
Nicholas Botzer
,
David Vazquez
,
Christopher Pal
,
Marco Pedersoli
,
Issam H. Laradji
Workshop at the International Conference of Learning Representation (ICLR), 2024.
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WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
We study the use of large language model-based agents for interacting with software via web browsers. Unlike prior work, we focus on …
Alexandre Drouin
,
Maxime Gasse
,
Massimo Caccia
,
Issam H. Laradji
,
Manuel Del Verme
,
Tom Marty
,
David Vazquez
,
Nicolas Chapados
,
Alexandre Lacoste
Workshop at the International Conference of Learning Representation (ICLR), 2024.
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Video
Workflow discovery in low data regimes
Text-based dialogues are now widely used to solve real-world problems. In cases where solution strategies are already known, they can …
Amine El Hattami
,
Issam H. Laradji
,
Stefania Raimondo
,
David Vazquez
,
Pau Rodriguez
,
Christopher Pal
International Conference of Learning Representations (ICLR), 2024.
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LitLLM: A Toolkit for Scientific Literature Review
Literature reviews are an essential component of scientific research. We explore the zero-shot abilities of recent large language …
Shubham Agarwal
,
Abhay Puri
,
Issam H. Laradji
,
Laurent Charlin
,
Christopher Pal
ArXiv, 2024.
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StarVector: Generating Scalable Vector Graphics Code from Images and Text
Scalable Vector Graphics (SVGs) have become integral in modern image rendering and graphic design applications due to their infinite …
Juan A. Rodriguez
,
Shubham Agarwal
,
Abhay Puri
,
Issam H. Laradji
,
Sai Rajeswar Mudumba
,
Pau Rodriguez
,
David Vazquez
,
Christopher Pal
,
Marco Pedersoli
ArXiv, 2024.
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