Prabin Bhandari

Can thousands of LLM agents live in a city and move like real people?
We study this in UrbanLLMind—accepted at #COLM2026—a city-grounded simulation of persistent LLM agents validated on real travel data.
Joint work with @anas_ant @dpfoser @smreia
📄 openreview.net/forum?id=jaK0A… 🧵👇

Epidemiological data is crucial for public health, but extracting and geotagging it from documents is challenging. Our work to be presented at #EMNLP2024’s 3rd NLP4PI Workshop, “From Text to Maps: LLM-Driven Extraction and Geotagging of Epidemiological Data”, tackles this. 🧵

Travel survey data are vital for urban mobility assessments—but they’re often costly and difficult to collect.
Could LLMs help us synthesize such data?
Our latest work, in collaboration with @anas_ant and @dpfoser, and the Best Paper Winner🥇at #SIGSPATIAL24, shows they can! 🧵👇

@CBSSports please have unbiased commentators on your show. One of the commentators on Real Madrid VS Man city was completely biased and I know everyone watching it would know.