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Rachel Dias

Rachel Dias has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Alec Helyar, Amelia Glaese, Andrea Vallone.

2 papers in our library · 2024–2025

No OpenAlex profile matched yet.

📄 2 works in our library · 🔗 Cited 161 times in our library · ⭐ Paper Stars ranking: #6456

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Deliberative Alignment: Reasoning Enables Safer Language Models (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 (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.

 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 →.

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