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Seth Ebner

3 accepted papers

2025

Core: Robust Factual Precision with Informative Sub-Claim Identification

ACL 2025finding

Hallucinations pose a challenge to the application of large language models (LLMs) thereby motivating the development of metrics to evaluate factual precision. We observe that popular metrics using the Decompose-Then-Verify framework, such as FActScore, can be manipulated by adding obvious or repeti…

2025

Language Model Probabilities are Not Calibrated in Numeric Contexts

ACL 2025long

Some statements have one well-defined continuation (e.g., “the Eiffel Tower is in [Paris]"), whereas others have a natural distribution over multiple options (e.g., “the weighted coin flip was [Heads/Tails].") We argue that language model (LM) outputs should capture these natural distributions. Our…

Cited by 0SourcePDFScholar
2021

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction

EMNLP 2021main

Zero-shot cross-lingual information extraction (IE) describes the construction of an IE model for some target language, given existing annotations exclusively in some other language, typically English. While the advance of pretrained multilingual encoders suggests an easy optimism of “train on Engli…