5 papers
Exploring the Meta-level Reasoning of Large Language Models via a Tool-based Multi-hop Tabular Question Answering Task
Nick Ferguson, Alan Bundy, Kwabena Nuamah
Recent advancements in Large Language Models (LLMs) are increasingly focused on "reasoning" ability, a concept with many overlapping definitions in the LLM discourse. We take a mor…
Lyria: A Genetic Algorithm-Driven Neuro-Symbolic Reasoning Framework for LLMs
Weizhi Tang, Kwabena Nuamah, Vaishak Belle
While LLMs have demonstrated impressive abilities across various domains, they struggle with two major issues. The first is that LLMs trap themselves into local optima and the seco…
Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering
Nick Ferguson, Liane Guillou, Alan Bundy +1
Large Language Models (LLMs) excel in natural language tasks but still face challenges in Question Answering (QA) tasks requiring complex, multi-step reasoning. We outline the type…
ALIST: Associative Logic for Inference, Storage and Transfer. A Lingua Franca for Inference on the Web
Kwabena Nuamah, Alan Bundy
Recent developments in support for constructing knowledge graphs have led to a rapid rise in their creation both on the Web and within organisations. Added to existing sources of d…
Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system
Nick Ferguson, Liane Guillou, Kwabena Nuamah +1
We present a study into the ability of paraphrase generation methods to increase the variety of natural language questions that the FRANK Question Answering system can answer. We f…