1 citations · 1 across the 2 of their papers we have counts for
3 papers
Characterizing Agentic Flooding of Government Services
Chris Schmitz, Lewis Hammond, Alan Chan
AI agents are making it easier for the public to interact with government, such as by helping them apply for benefits, understand complex policies, and make their opinions heard. A…
Foundational Challenges in Assuring Alignment and Safety of Large Language Models
Usman Anwar, Abulhair Saparov, Javier Rando +39
This work identifies 18 foundational challenges in assuring the alignment and safety of large language models (LLMs). These challenges are organized into three different categories…
Welfare Diplomacy: Benchmarking Language Model Cooperation
Gabriel Mukobi, Hannah Erlebach, Niklas Lauffer +3
The growing capabilities and increasingly widespread deployment of AI systems necessitate robust benchmarks for measuring their cooperative capabilities. Unfortunately, most multi-…