13 citations · 27 across the 7 of their papers we have counts for
7 papers
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information
Ben Halstead, Yun Sing Koh, Patricia Riddle +3
Streaming sources of data are becoming more common as the ability to collect data in real-time grows. A major concern in dealing with data streams is concept drift, a change in the…
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions
Tim Hartill, Neset Tan, Michael Witbrock +1
We equip a smaller Language Model to generalise to answering challenging compositional questions that have not been seen in training. To do so we propose a combination of multitask…
Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval
Tim Hartill, Diana Benavides-Prado, Michael Witbrock +1
When provided with sufficient explanatory context, smaller Language Models have been shown to exhibit strong reasoning ability on challenging short-answer question-answering tasks…
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes
Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle +1
In Simultaneous Localization and Mapping (SLAM), Loop Closure Detection (LCD) is essential to minimize drift when recognizing previously visited places. Visual Bag-of-Words (vBoW)…
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering
Zhenyun Deng, Yonghua Zhu, Yang Chen +2
Effective multi-hop question answering (QA) requires reasoning over multiple scattered paragraphs and providing explanations for answers. Most existing approaches cannot provide an…
SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words
Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle +1
Loop closure detection is an essential tool of Simultaneous Localization and Mapping (SLAM) to minimize drift in its localization. Many state-of-the-art loop closure detection (LCD…
Texture Modelling with Nested High-order Markov-Gibbs Random Fields
Ralph Versteegen, Georgy Gimel'farb, Patricia Riddle
Currently, Markov-Gibbs random field (MGRF) image models which include high-order interactions are almost always built by modelling responses of a stack of local linear filters. Ac…