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Richard Booth

5 accepted papers

2025

There’s No Such Thing as Simple Reasoning for LLMs

ACL 2025finding

Large Language Models (LLMs) have been widely found to struggle with logical reasoning, where even fine-tuned models fail dramatically on out-of-distribution problems. However, existing work has focused on relatively complex “many-hop” reasoning problems. In this paper, we analyse the performance of…

Cited by 0SourcePDFScholar
2024

Can Language Models Learn Embeddings of Propositional Logic Assertions?

COLING 2024main

Natural language offers an appealing alternative to formal logics as a vehicle for representing knowledge. However, using natural language means that standard methods for automated reasoning can no longer be used. A popular solution is to use transformer-based language models (LMs) to directly reaso…

Cited by 0SourcePDFScholar