---
title: "Pang Wei Koh — papers of 2023 — 3 papers, the most cited first"
description: "Pang Wei Koh — papers of 2023: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Pang Wei Koh — papers of 2023 — 3 papers, the most cited first

3 papers · [all years of Pang Wei Koh](https://md.research.elamur.ai/free/en/authors/pang-wei-koh/#years)

**[FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation](https://md.research.elamur.ai/free/en/papers/min-2023-factscore-fine-grained-atomic-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.*2023 · 987 citations*

**[Are aligned neural networks adversarially aligned?](https://md.research.elamur.ai/free/en/papers/carlini-2023-aligned-neural-networks-adversarially-aligned/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, et al.*2023 · 157 citations*

- [The Generative AI Paradox: "What It Can Create, It May Not Understand" arXiv:2311.00059](https://md.research.elamur.ai/free/en/papers/west-2023-generative-ai-paradox-create-may/) — Peter West, Ximing Lu, Nouha Dziri, et al. · 2023 · 62 citations