---
title: "Who cites Neural network embeddings recover — 1 citing paper"
description: "1 paper of the Elamur Research library cite «Neural network embeddings recover value dimensions from psychometric survey items on par…"
canonical: "https://research.elamur.ai/free/en/papers/pellert-2026-neural-network-embeddings-recover-value/cited-by/"
---
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# Who cites «Neural network embeddings recover value dimensions from psychometric survey items on par with human data»

1 paper of our library cites it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «Neural network embeddings recover value dimensions from psychometric survey items on par with human data»](https://md.research.elamur.ai/free/en/papers/pellert-2026-neural-network-embeddings-recover-value/)

1. **[Quantifying and Mitigating Socially Desirable Responding in LLMs: A Desirability-Matched Graded Forced-Choice Psychometric Study](https://md.research.elamur.ai/free/en/papers/okada-2026-quantifying-mitigating-socially-desirable-responding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kensuke Okada, Yui Furukawa, Kyosuke Bunji*2026*
- [← back to](https://md.research.elamur.ai/free/en/papers/pellert-2026-neural-network-embeddings-recover-value/) — Neural network embeddings recover value dimensions from psychometric survey items on par with human data