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Najoung Kim

As seen in: Wiley Online Library, arXiv
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Articles

Computer Science > Computation and Language

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By Najoung Kim
| arXiv
Whether neural language models (NLMs) possess the ability to distinguish strings on the basis of their grammaticality remains a debated topic in the computational linguistics literature. Existing evidence has largely relied on probability-based measures, testing whether models assign higher probabilities to grammatical than ungrammatical strings.
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Syn-QA2: Evaluating False Assumptions in Long-tail Questions with Synthetic QA Datasets

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By Rohan Sawant, Najoung Kim
| arXiv
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[2310.18168] Personas as a Way to Model Truthfulness in Language Models

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By Javier Herrera Rando, Abulhair Saparov, Najoung Kim
| arXiv
[Submitted on 27 Oct 2023 ( v1 ), last revised 30 Oct 2023 (this version, v2)] Title:Personas as a Way to Model Truthfulness in Language Models Download a PDF of the paper titled Personas as a Way to Model Truthfulness in Language Models, by Nitish Joshi and 4 other authors Download PDF Abstract: Large Language Models are trained on vast amounts of text from the internet, which contains both factual and misleading information about the world.
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