← Search

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 0Source ↗PDF ↗Scholar ↗
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 0Source ↗PDF ↗Scholar ↗