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cs.CL2026
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…
cs.CL2025
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…
cs.CL2022
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…