--- title: "Rachel Dias — author profile and papers — Elamur Research" description: "Rachel Dias: 2 papers on Elamur Research (2024–2025) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/rachel-dias/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rachel-dias/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Rachel Dias # Rachel Dias Rachel Dias has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Alec Helyar](https://md.research.elamur.ai/free/en/authors/alec-helyar/), [Amelia Glaese](https://md.research.elamur.ai/free/en/authors/amelia-glaese/), [Andrea Vallone](https://md.research.elamur.ai/free/en/authors/andrea-vallone/). 2 papers in our library · 2024–2025 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/rachel-dias/#papers) · [🔗 Cited 161 times in our library](https://md.research.elamur.ai/free/en/authors/rachel-dias/cited-by/) · [⭐ Paper Stars ranking: #6456](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6456) 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=Rachel+Dias) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Rachel+Dias) · [dblp](https://dblp.org/search?q=Rachel+Dias) · [ACL Anthology](https://aclanthology.org/search/?q=Rachel+Dias) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/rachel-dias/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/rachel-dias/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Deliberative Alignment: Reasoning Enables Safer Language Models](https://md.research.elamur.ai/free/en/papers/guan-2024-deliberative-alignment-reasoning-enables-safer/)** *(2024 · 115 citations)* Conventional safety training (SFT, RLHF) has two weaknesses. LLMs answer instantly without deliberating, and they infer safety rules only indirectly from labeled examples. As a result, they can be jailbroken yet still refuse harmless requests. OpenAI researchers propose Deliberative Alignment, which teaches the model… 2. **[PaperBench: Evaluating AI's Ability to Replicate AI Research](https://md.research.elamur.ai/free/en/papers/starace-2025-paperbench-evaluating-ai-s/)** *(2025 · 86 citations)* PaperBench measures whether AI agents can independently reproduce recent machine learning research. Agents receive 20 Spotlight and Oral papers from ICML 2024, covering 12 topic areas. For each paper, an agent must write a complete codebase from scratch, without access to the authors' original code, and include a… ## Co-authors here 12 of 18 co-authors with a page, the most papers together first. - [Alec Helyar](https://md.research.elamur.ai/free/en/authors/alec-helyar/) - [Amelia Glaese](https://md.research.elamur.ai/free/en/authors/amelia-glaese/) - [Andrea Vallone](https://md.research.elamur.ai/free/en/authors/andrea-vallone/) - [Boaz Barak](https://md.research.elamur.ai/free/en/authors/boaz-barak/) - [Dane Sherburn](https://md.research.elamur.ai/free/en/authors/dane-sherburn/) - [Eric Wallace](https://md.research.elamur.ai/free/en/authors/eric-wallace/) - [Evan Mays](https://md.research.elamur.ai/free/en/authors/evan-mays/) - [Giulio Starace](https://md.research.elamur.ai/free/en/authors/giulio-starace/) - [Hyung Won Chung](https://md.research.elamur.ai/free/en/authors/hyung-won-chung/) - [James Aung](https://md.research.elamur.ai/free/en/authors/james-aung/) - [Jason Wei](https://md.research.elamur.ai/free/en/authors/jason-wei/) - [Johannes Heidecke](https://md.research.elamur.ai/free/en/authors/johannes-heidecke/) ## Cited by Papers of our library cite their works 161 times (of the 149,439 papers whose bibliographies we read); [45 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/rachel-dias/cited-by/). Updated 2 November 2026