---
title: "Who cites Latent Inter-User Difference — 8 citing papers"
description: "8 papers of the Elamur Research library cite «Latent Inter-User Difference Modeling for LLM Personalization», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/qiu-2025-latent-inter-user-difference-modeling/cited-by/"
---
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# Who cites «Latent Inter-User Difference Modeling for LLM Personalization»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Latent Inter-User Difference Modeling for LLM Personalization»](https://md.research.elamur.ai/free/en/papers/qiu-2025-latent-inter-user-difference-modeling/)

1. **[PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-perm-psychology-grounded-empathetic-reward/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chengbing Wang, Wuqiang Zheng, Yang Zhang, et al.*2026 · 8 citations*
2. **[ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/nkhata-2026-clusterrag-cluster-based-collaborative-filtering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gibson Nkhata, Uttamasha Anjally Oyshi, Quan Mai, et al.*2026*
3. **[Personalizing LLMs with Binary Feedback: A Preference-Calibrated Optimization Framework](https://md.research.elamur.ai/free/en/papers/ma-2026-personalizing-llms-binary-feedback-preference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xilai Ma, Liye Zhao, Weijun Yao, et al.*2026*

5 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/qiu-2025-latent-inter-user-difference-modeling/) — Latent Inter-User Difference Modeling for LLM Personalization