Conveners
Generative and Agentic AI I
- Lav Varshney (Stony Brook University)
AI systems increasingly serve as our knowledge-seeking agents, but how reliably can they discern truth from deception? We investigate a counterintuitive finding: language models equipped with reasoning tools, like metacognitive capabilities, transparency mechanisms, structured deliberation, often perform worse at epistemic tasks than their basic counterparts. Through controlled experiments...
Large Language Models (LLMs) are increasingly being explored as tools for scientific reasoning — not just in language tasks, but across disciplines such as math, biology, genomics and physics. In this talk, I’ll discuss recent developments in AI for science, including genome language models, AI co-scientist for biology and quantum physics, and LLMs for math. I’ll highlight both the...
