Zobrazeno 1 - 10
of 2 510
pro vyhledávání: '"Oosterlinck A"'
Autor:
D'Oosterlinck, Karel, Xu, Winnie, Develder, Chris, Demeester, Thomas, Singh, Amanpreet, Potts, Christopher, Kiela, Douwe, Mehri, Shikib
Large Language Models (LLMs) are often aligned using contrastive alignment objectives and preference pair datasets. The interaction between model, paired data, and objective makes alignment a complicated procedure, sometimes producing subpar results.
Externí odkaz:
http://arxiv.org/abs/2408.06266
Although CLIPScore is a powerful generic metric that captures the similarity between a text and an image, it fails to distinguish between a caption that is meant to complement the information in an image and a description that is meant to replace an
Externí odkaz:
http://arxiv.org/abs/2406.09458
Autor:
D'Oosterlinck, Karel, Khattab, Omar, Remy, François, Demeester, Thomas, Develder, Chris, Potts, Christopher
Multi-label classification problems with thousands of classes are hard to solve with in-context learning alone, as language models (LMs) might lack prior knowledge about the precise classes or how to assign them, and it is generally infeasible to dem
Externí odkaz:
http://arxiv.org/abs/2401.12178
Model interpretability and model editing are crucial goals in the age of large language models. Interestingly, there exists a link between these two goals: if a method is able to systematically edit model behavior with regard to a human concept of in
Externí odkaz:
http://arxiv.org/abs/2311.10905
Autor:
D'Oosterlinck, Karel, Bitew, Semere Kiros, Papineau, Brandon, Potts, Christopher, Demeester, Thomas, Develder, Chris
State-of-the-art coreference resolutions systems depend on multiple LLM calls per document and are thus prohibitively expensive for many use cases (e.g., information extraction with large corpora). The leading word-level coreference system (WL-coref)
Externí odkaz:
http://arxiv.org/abs/2310.06165
Natural language is an appealing medium for explaining how large language models process and store information, but evaluating the faithfulness of such explanations is challenging. To help address this, we develop two modes of evaluation for natural
Externí odkaz:
http://arxiv.org/abs/2309.10312
Autor:
D'Oosterlinck, Karel, Remy, François, Deleu, Johannes, Demeester, Thomas, Develder, Chris, Zaporojets, Klim, Ghodsi, Aneiss, Ellershaw, Simon, Collins, Jack, Potts, Christopher
Timely and accurate extraction of Adverse Drug Events (ADE) from biomedical literature is paramount for public safety, but involves slow and costly manual labor. We set out to improve drug safety monitoring (pharmacovigilance, PV) through the use of
Externí odkaz:
http://arxiv.org/abs/2305.13395
Explainability methods for NLP systems encounter a version of the fundamental problem of causal inference: for a given ground-truth input text, we never truly observe the counterfactual texts necessary for isolating the causal effects of model repres
Externí odkaz:
http://arxiv.org/abs/2209.14279
First‐in‐human real‐time AI‐assisted instrument deocclusion during augmented reality robotic surgery
Autor:
Jasper Hofman, Pieter De Backer, Ilaria Manghi, Jente Simoens, Ruben De Groote, Hannes Van Den Bossche, Mathieu D'Hondt, Tim Oosterlinck, Julie Lippens, Charles Van Praet, Federica Ferraguti, Charlotte Debbaut, Zhijin Li, Oliver Kutter, Alexandre Mottrie, Karel Decaestecker
Publikováno v:
Healthcare Technology Letters, Vol 11, Iss 2-3, Pp 33-39 (2024)
Abstract The integration of Augmented Reality (AR) into daily surgical practice is withheld by the correct registration of pre‐operative data. This includes intelligent 3D model superposition whilst simultaneously handling real and virtual occlusio
Externí odkaz:
https://doaj.org/article/9ebc58fc86254f78acf3f5d8c18ca8ec
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
BackgroundPotential synovial penetration following palmar digital nerve blocks has not been investigated.ObjectivesTo evaluate the proximity of needles placed for palmar digital nerve blocks to nearby synovial structures using computed tomography (CT
Externí odkaz:
https://doaj.org/article/51aa7098815c40da877d71c127f30db4