---
title: "Who cites Direct Preference Optimization: Your Language…"
description: "2,478 papers of the Elamur Research library cite «Direct Preference Optimization: Your Language Model is Secretly a Reward Model», found in their…"
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---
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# Who cites «Direct Preference Optimization: Your Language Model is Secretly a Reward Model»

2,478 papers of our library cite it (of the 140,884 whose bibliographies we read) · 108 with a page here, the most cited first · page 2 of 2 · 101–108 · [← the paper](https://md.research.elamur.ai/free/en/papers/rafailov-2023-direct-preference-optimization-language-model/)

[← prev](https://md.research.elamur.ai/free/en/papers/rafailov-2023-direct-preference-optimization-language-model/cited-by/) [1](https://md.research.elamur.ai/free/en/papers/rafailov-2023-direct-preference-optimization-language-model/cited-by/) **2**

101. [**Arabic Safety Alignment as Selective Refusal: An Empirical Study of SFT, DPO, and Guard Calibration**Mohamad Zbib, Ammar Mohanna*2026*](https://md.research.elamur.ai/free/en/papers/zbib-2026-arabic-safety-alignment-selective-refusal/)
102. [**Breaking the Script: Do Role-Playing Agents Maintain Goal Alignment under Distraction?**Dongxu Lu, Albert Gatt, Johan Jeuring*2026*](https://md.research.elamur.ai/free/en/papers/lu-2026-breaking-script-do-role-playing/)
103. [**Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost?**Prateek Kumar Rajput, Yewei Song, Iyiola Emmanuel Olatunji, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rajput-2026-evaluation-drift-llm-personality-induction/)
104. [**From Propositional to Perceptual Asymmetry: Extending FPO to Asymmetric Partial Information Dialogue**Yifan Zhu, Kyeongmin Rim, James Pustejovsky*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-propositional-perceptual-asymmetry-extending-fpo/)
105. [**Generation of Instruction and Preference Dataset for Improving Japanese Instruction Following in LLMs**Kei Moriyama, Takashi Kodama, Kouta Nakayama*2026*](https://md.research.elamur.ai/free/en/papers/moriyama-2026-generation-instruction-preference-dataset-improving/)
106. [**How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment**Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/)
107. [**Multi-dimensional Evaluation of Character-Authentic Dialogue Models Learned from Question-Answer Data**Atsushi Otsuka, Kazuya Matsuo, Kenta Hama, et al.*2026*](https://md.research.elamur.ai/free/en/papers/otsuka-2026-multi-dimensional-evaluation-character-authentic/)
108. [**Terminology-Aware Retrieval-Augmented Knowledge Distillation for Biomedical Neural Machine Translation**Maria Zafar, Souhail Bakkali, Rejwanul Haque*2026*](https://md.research.elamur.ai/free/en/papers/zafar-2026-terminology-aware-retrieval-augmented-knowledge/)

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2,370 more papers of our library cite it; they have no page here yet.

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