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20222026
most citedA Roadmap to Pluralistic Alignment

14 citations · 32 across the 17 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

NewsBench: Expert-Grounded Evaluation of Epistemic Quality in AI News Reporting

Matt Wilde, Jillian Fisher, Andrew B. Hall +2

As frontier AI systems increasingly serve as sources of political and current-events information, evaluating the epistemic quality of their responses is now especially consequentia…

cs.AI2026

Distilling Expert Judgment at Scale

Robbie Goldfarb, Andrew B. Hall, Jillian Fisher +2

Frontier AI models are increasingly deployed on topics where the stakes are high and expert judgment is required, including healthcare, defense, finance, governance, and politics.…

cs.AI2026

A Roadmap to Impactful Pluralistic Alignment Research

Elinor Poole-Dayan, Jillian Fisher, Atoosa Kasirzadeh +3

Much research on responsible AI aims to change the behavior of AI systems that billions of people use. Pluralistic value alignment---the goal of building AI systems that represent…

cs.AI2026

Response-Aware User Memory Selection for LLM Personalization

Jillian Fisher, Jennifer Neville, Chan Young Park

A common approach to personalization in large language models (LLMs) is to incorporate a subset of the user memory into the prompt at inference time to guide the model's generation…

cs.AI2024★ 14 cited

A Roadmap to Pluralistic Alignment

Taylor Sorensen, Jared Moore, Jillian Fisher +9

With increased power and prevalence of AI systems, it is ever more critical that AI systems are designed to serve all, i.e., people with diverse values and perspectives. However, a…

cs.AI2023★ 10 cited

The Generative AI Paradox: "What It Can Create, It May Not Understand"

Peter West, Ximing Lu, Nouha Dziri +11

The recent wave of generative AI has sparked unprecedented global attention, with both excitement and concern over potentially superhuman levels of artificial intelligence: models…