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Luke Benson

2 accepted papers

2024

FOLIO: Natural Language Reasoning with First-Order Logic

EMNLP 2024main

Large language models (LLMs) have achieved remarkable performance on a variety of natural language understanding tasks. However, existing benchmarks are inadequate in measuring the complex logical reasoning capabilities of a model. We present FOLIO, a human-annotated, logically complex and diverse d…

2022

R2D2: Robust Data-to-Text with Replacement Detection

EMNLP 2022main

Unfaithful text generation is a common problem for text generation systems. In the case of Data-to-Text (D2T) systems, the factuality of the generated text is particularly crucial for any real-world applications. We introduce R2D2, a training framework that addresses unfaithful Data-to-Text generati…