output
20202024
most citedChatbots as conversational healthcare services

129 citations

8 papers

cs.CL2024★ 1 cited

Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages

Hoang H Nguyen, Khyati Mahajan, Vikas Yadav +4

Although multilingual LLMs have achieved remarkable performance across benchmarks, we find they continue to underperform on non-Latin script languages across contemporary LLM famil…

stat.ML2024

Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures

Paul Viallard, Rémi Emonet, Amaury Habrard +2

In statistical learning theory, a generalization bound usually involves a complexity measure imposed by the considered theoretical framework. This limits the scope of such bounds,…

eess.IV2024★ 2 cited

Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy

Brice Rauby, Paul Xing, Jonathan Porée +2

Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and with a resolution on the order of ten micron…

cs.HC2023★ 2 cited

How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection

Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu +2

Hate speech moderation remains a challenging task for social media platforms. Human-AI collaborative systems offer the potential to combine the strengths of humans' reliability and…

cs.CL2023★ 2 cited

The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents

Xing Han Lu, Siva Reddy, Harm de Vries

We introduce the StatCan Dialogue Dataset consisting of 19,379 conversation turns between agents working at Statistics Canada and online users looking for published data tables. Th…

cs.CL2023★ 65 cited

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Hugo Laurençon, Lucile Saulnier, Thomas Wang +51

As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The BigScience workshop,…

cs.CV2021

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data

Oscar Mañas, Alexandre Lacoste, Xavier Giro-i-Nieto +2

Remote sensing and automatic earth monitoring are key to solve global-scale challenges such as disaster prevention, land use monitoring, or tackling climate change. Although there…

cs.HC2020★ 129 cited

Chatbots as conversational healthcare services

Mlađan Jovanović, Marcos Baez, Fabio Casati

Chatbots are emerging as a promising platform for accessing and delivering healthcare services. The evidence is in the growing number of publicly available chatbots aiming at takin…