---
title: "Daniele Calandriello — papers of 2023 — Elamur Research"
description: "Daniele Calandriello — papers of 2023: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
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---
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[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Daniele Calandriello](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/) / 2023

# Daniele Calandriello — papers of 2023 — Elamur Research

2 papers · [all years of Daniele Calandriello](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/#years)

- [A General Theoretical Paradigm to Understand Learning from Human Preferences arXiv:2310.12036](https://md.research.elamur.ai/free/en/papers/azar-2023-general-theoretical-paradigm-understand-learning/) — Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot, et al. · 2023 · 263 citations
- [Nash Learning from Human Feedback arXiv:2312.00886](https://md.research.elamur.ai/free/en/papers/munos-2023-nash-learning-human-feedback/) — Remi Munos, Michal Valko, Daniele Calandriello, et al. · 2023 · 32 citations
