1.4k citations · 2.5k across the 47 of their papers we have counts for
50 papers
Consensus Sampling for Safer Generative AI
Adam Tauman Kalai, Yael Tauman Kalai, Or Zamir
Motivated by undetectable risks in generative AI, we study a general robust aggregation problem: how to aggregate several probability distributions to boost safety. We present cons…
On Non-interactive Evaluation of Animal Communication Translators
Orr Paradise, David F. Gruber, Adam Tauman Kalai
If you had an AI Whale-to-English translator, how could you validate whether or not it is working? Does one need to interact with the animals or rely on grounded observations such…
Why Language Models Hallucinate
Adam Tauman Kalai, Ofir Nachum, Santosh S. Vempala +1
Like students facing hard exam questions, large language models sometimes guess when uncertain, producing plausible yet incorrect statements instead of admitting uncertainty. Such…
The Singapore Consensus on Global AI Safety Research Priorities
Yoshua Bengio, Tegan Maharaj, Luke Ong +84
Rapidly improving AI capabilities and autonomy hold significant promise of transformation, but are also driving vigorous debate on how to ensure that AI is safe, i.e., trustworthy,…
First-Person Fairness in Chatbots
Tyna Eloundou, Alex Beutel, David G. Robinson +7
Evaluating chatbot fairness is crucial given their rapid proliferation, yet typical chatbot tasks (e.g., resume writing, entertainment) diverge from the institutional decision-maki…
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
Mirac Suzgun, Adam Tauman Kalai
We introduce meta-prompting, an effective scaffolding technique designed to enhance the functionality of language models (LMs). This approach transforms a single LM into a multi-fa…