5 papers
Encoding EEG Signals to Examine Human-Like Next-Word Prediction Behaviour in Language Models
Boi Mai Quach, Binh T. Nguyen, Cathal Gurrin +1
Language models (LMs) are trained to excel at predicting the next word in the sequence given prior context, and humans also share this predictability in reading comprehension. Neur…
HANCLIP: A Family of Hyperbolic Angular Negation Vision Language Models
Hoang-Bao Le, Aiden Durrant, Thai Son Mai +3
Vision-Language Models (VLMs) are typically pre-trained on large-scale image-text datasets to capture semantic correspondences between visual content and natural language. However,…
OpenLifelogQA: An Open-Ended Multi-Modal Lifelog Question-Answering Dataset
Quang-Linh Tran, Hoang-Bao Le, Tuong-Nghiem Diep +3
We introduce OpenLifelogQA, a large-scale open-ended lifelog QA dataset constructed from 18 months of multimodal lifelog data. Lifelogging is the passive collection and analysis of…
UNION: A Lightweight Target Representation for Efficient Zero-Shot Image-Guided Retrieval with Optional Textual Queries
Hoang-Bao Le, Allie Tran, Binh T. Nguyen +2
Image-Guided Retrieval with Optional Text (IGROT) is a general retrieval setting where a query consists of an anchor image, with or without accompanying text, aiming to retrieve se…
FIGROTD: A Friendly-to-Handle Dataset for Image Guided Retrieval with Optional Text
Hoang-Bao Le, Allie Tran, Binh T. Nguyen +2
Image-Guided Retrieval with Optional Text (IGROT) unifies visual retrieval (without text) and composed retrieval (with text). Despite its relevance in applications like Google Imag…