4 papers · 1 filter
VESTA: Visual Exploration with Statistical Tool Agents
William Rudman, Abhishek Divekar, Kanishk Jain +6
Fitting quantitative models to data is a central step in scientific workflows, yet it remains one of the least automated. Recent agent-based systems leverage language and vision-la…
Emergent Introspection in AI is Content-Agnostic
Harvey Lederman, Kyle Mahowald
Introspection is a foundational cognitive ability, but its mechanism is not well understood. Recent work has shown that AI models can introspect. We study the mechanism of this int…
Privileged Self-Access Matters for Introspection in AI
Siyuan Song, Harvey Lederman, Jennifer Hu +1
Whether AI models can introspect is an increasingly important practical question. But there is no consensus on how introspection is to be defined. Beginning from a recently propose…
Models Can and Should Embrace the Communicative Nature of Human-Generated Math
Sasha Boguraev, Ben Lipkin, Leonie Weissweiler +1
Math is constructed by people for people: just as natural language corpora reflect not just propositions but the communicative goals of language users, the math data that models ar…