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20212026
most citedConstitutional AI: Harmlessness from AI Feedback

334 citations · 510 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CY2026

Global Cybercrime Damages: A Baseline for Frontier AI Risk Assessment

Kamilė Lukošiūtė, John Halstead, Luca Righetti

AI companies and governments are increasingly concerned about frontier AI systems enabling cybercrime, yet defining meaningful capability thresholds requires knowing the scale of c…

cs.CR2025

LLM Cyber Evaluations Don't Capture Real-World Risk

Kamilė Lukošiūtė, Adam Swanda

Large language models (LLMs) are demonstrating increasing prowess in cybersecurity applications, creating creating inherent risks alongside their potential for strengthening defens…

cs.CL2022★ 52 cited

Discovering Language Model Behaviors with Model-Written Evaluations

Ethan Perez, Sam Ringer, Kamilė Lukošiūtė +60

As language models (LMs) scale, they develop many novel behaviors, good and bad, exacerbating the need to evaluate how they behave. Prior work creates evaluations with crowdwork (w…

cs.CL2022★ 334 cited

Constitutional AI: Harmlessness from AI Feedback

Yuntao Bai, Saurav Kadavath, Sandipan Kundu +48

As AI systems become more capable, we would like to enlist their help to supervise other AIs. We experiment with methods for training a harmless AI assistant through self-improveme…

cs.HC2022★ 35 cited

Measuring Progress on Scalable Oversight for Large Language Models

Samuel R. Bowman, Jeeyoon Hyun, Ethan Perez +43

Developing safe and useful general-purpose AI systems will require us to make progress on scalable oversight: the problem of supervising systems that potentially outperform us on m…

astro-ph.HE2022★ 9 cited

Prospects of Gravitational Wave Follow-up Through a Wide-field Ultra-violet Satellite: a Dorado Case Study

Bas Dorsman, Geert Raaijmakers, S. Bradley Cenko +8

The detection of gravitational waves from binary neuron star merger GW170817 and electromagnetic counterparts GRB170817 and AT2017gfo kick-started the field of gravitational wave m…

astro-ph.IM2022★ 16 cited

KilonovaNet: Surrogate Models of Kilonova Spectra with Conditional Variational Autoencoders

Kamilė Lukošiūtė, Geert Raaijmakers, Zoheyr Doctor +2

Detailed radiative transfer simulations of kilonova spectra play an essential role in multimessenger astrophysics. Using the simulation results in parameter inference studies requi…

astro-ph.HE2021★ 64 cited

The Challenges Ahead for Multimessenger Analyses of Gravitational Waves and Kilonova: a Case Study on GW190425

Geert Raaijmakers, Samaya Nissanke, Francois Foucart +12

In recent years, there have been significant advances in multi-messenger astronomy due to the discovery of the first, and so far only confirmed, gravitational wave event with a sim…