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Wojciech Maciej Kryscinski

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…

2023

SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization

EMNLP 2023long main

With the recent appearance of LLMs in practical settings, having methods that can effectively detect factual inconsistencies is crucial to reduce the propagation of misinformation and improve trust in model outputs. When testing on existing factual consistency benchmarks, we find that a few large la…

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