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nimranadeem.bsky.social

@nimranadeem.bsky.social
13 followers 52 following 0 posts

CS PhD @ Princeton CITP Research interests: law, AI and philosophy

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Reposted by @nimranadeem.bsky.social
Peter Henderson @peterhenderson.bsky.social · 26/06/2026
You can also check out our website and explore the work in an interactive way! Pick which question you think is better from justices or models, see the coverage of different legal issues from various models, & more! princeton-polaris-lab.github.io/oral-args-we...
princeton-polaris-lab.github.io
AI-Assisted Moot Courts: Simulating Justice-Specific Questioning in Oral Arguments
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Reposted by @nimranadeem.bsky.social
Peter Henderson @peterhenderson.bsky.social · 25/06/2026
The future of oral argument or trial prep will obviously involve AI. But how can we measure quality of simulations? We build out an eval suite and run some studies! Sycophancy & issue coverage are clear areas of improvement, but models are surprisingly useful! 👇👇
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Reposted by @nimranadeem.bsky.social
Dominik Stammbach @dominsta.bsky.social · 24/06/2026
@skyien-z.bsky.social and @nimranadeem.bsky.social evaluated LLMs for oral argument preparation -- before the hype around Katyal's TED Talk and Harvey's AI system. Findings are more nuanced: while some generations are great, there's sycophancy, limited diversity, and barely any hypotheticals
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Reposted by @nimranadeem.bsky.social
skyien-z.bsky.social @skyien-z.bsky.social · 24/06/2026
Work with @nimranadeem.bsky.social, @Lucia_Zheng, @dominsta.bsky.social, @peterhenderson.bsky.social Paper: arxiv.org/abs/2603.04718 Blog: www.polarislab.org#/blog/oral-a... Interactive examples! princeton-polaris-lab.github.io/oral-args-we...
arxiv.org
AI-Assisted Moot Courts: Simulating Justice-Specific Questioning in Oral Arguments
In oral arguments, judges probe attorneys with questions about the factual record, legal claims, and the strength of their arguments. To prepare for this questioning, both law schools and practicing a...
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