--- title: "Archit Sharma — author profile and papers — Elamur Research" description: "Archit Sharma: 2 papers on Elamur Research (2023), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/archit-sharma/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/archit-sharma/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Archit Sharma # Archit Sharma Archit Sharma has 2 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chelsea Finn](https://md.research.elamur.ai/free/en/authors/chelsea-finn/), [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/), [Eric Mitchell](https://md.research.elamur.ai/free/en/authors/eric-mitchell/). 2 papers in our library · 2023 [OpenAlex](https://openalex.org/A5127868678) · [**h-index 3**](https://openalex.org/authors/A5127868678) · [3 works](https://openalex.org/works?filter=author.id:A5127868678) · [468 citations](https://openalex.org/works?filter=author.id:A5127868678&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/archit-sharma/#papers) · [🔗 Cited 3,170 times in our library](https://md.research.elamur.ai/free/en/authors/archit-sharma/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1087](https://md.research.elamur.ai/free/en/paper-stars/page/11/#star-1087) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Archit+Sharma) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Archit+Sharma) · [dblp](https://dblp.org/search?q=Archit+Sharma) · [ACL Anthology](https://aclanthology.org/search/?q=Archit+Sharma) ## Affiliations [🎓**Stanford University** Stanford · United States 2021–2025 · 19 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🏢**Google** Mountain View · United States 2019–2025 · 6 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Google DeepMind** London · United Kingdom 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**Harvard University** Cambridge · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/harvard-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Language model · 1 work](https://md.research.elamur.ai/free/en/concepts/language-model/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/archit-sharma/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://md.research.elamur.ai/free/en/papers/rafailov-2023-direct-preference-optimization-language-model/)** *(2023 · 2,896 citations)* Making a pretrained language model behave the way people prefer usually relies on RLHF. A reward model is first fitted to pairwise human judgments under the Bradley-Terry model. The policy is then tuned with PPO to maximise that reward, while a KL penalty keeps it near the SFT reference. This pipeline needs several… 2. **[An Emulator for Fine-Tuning Large Language Models using Small Language Models](https://md.research.elamur.ai/free/en/papers/mitchell-2023-emulator-fine-tuning-large-language/)** *(2023 · 36 citations)* Instruction-tuned LLMs come from two stages: broad pre-training and narrower fine-tuning. It is often assumed that pre-training supplies knowledge while fine-tuning mainly shapes behavior, but this has rarely been tested directly. The authors propose emulated fine-tuning (EFT), which treats a fine-tuned model as the… ## All works 8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**Direct Preference Optimization: Your Language Model is Secretly a Reward Model arXiv:2305.18290**Rafael Rafailov, Archit Sharma, Eric Mitchell, et al.*2023 · 2,896 citations*](https://md.research.elamur.ai/free/en/papers/rafailov-2023-direct-preference-optimization-language-model/) 2. **[Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback ↗](https://aclanthology.org/2023.emnlp-main.330/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Katherine Tian et al.*2023 · 393 citations* 3. **[Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0 ↗](https://doi.org/10.1109/icra57147.2024.10611477) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Abby O'Neill et al.*2024 · 231 citations* 4. **[Open X-Embodiment: Robotic Learning Datasets and RT-X Models ↗](https://arxiv.org/abs/2310.08864) arXiv:2310.08864 · no summary yet**Embodiment Collaboration et al.*2023 · 204 citations* 5. **[Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data ↗](https://arxiv.org/abs/2404.14367) arXiv (Cornell University) · no summary yet**Fahim Tajwar et al.*2024 · 54 citations* 6. **[Stream of Search (SoS): Learning to Search in Language ↗](https://arxiv.org/abs/2404.03683) arXiv:2404.03683 · no summary yet**Kanishk Gandhi et al.*2024 · 49 citations* 7. [**An Emulator for Fine-Tuning Large Language Models using Small Language Models arXiv:2310.12962**Eric Mitchell, Rafael Rafailov, Archit Sharma, et al.*2023 · 36 citations*](https://md.research.elamur.ai/free/en/papers/mitchell-2023-emulator-fine-tuning-large-language/) 8. **[FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users ↗](https://arxiv.org/abs/2502.19312) arXiv (Cornell University) · no summary yet**Anikait Singh et al.*2025 · 5 citations* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Chelsea Finn](https://md.research.elamur.ai/free/en/authors/chelsea-finn/) ×2 - [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/) ×2 - [Eric Mitchell](https://md.research.elamur.ai/free/en/authors/eric-mitchell/) ×2 - [Rafael Rafailov](https://md.research.elamur.ai/free/en/authors/rafael-rafailov/) ×2 - [Stefano Ermon](https://md.research.elamur.ai/free/en/authors/stefano-ermon/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings - IEEE International Conference on Robotics and Automation/Proceedings - Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 3,170 times (of the 149,439 papers whose bibliographies we read); [641 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/archit-sharma/cited-by/). Updated 30 October 2026