13 citations · 27 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…