activity
20232026
most citedLaboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings

16 citations · 17 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

TraversRL: Traversable Pedestrian Pathway Generation With Reinforcement Learning

Bin Han, Robert Wolfe, Bill Howe

Automatically generating pedestrian pathways from aerial images requires producing a connected network suitable for routing, not just detecting where sidewalks appear. Sidewalks an…

cs.AI2025★ 1 cited

Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses

Bin Han, Robert Wolfe, Anat Caspi +1

We explore the application of large language models (LLMs) to empower domain experts in integrating large, heterogeneous, and noisy urban spatial datasets. Traditional rule-based i…

cs.AI2025

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs

Chenjun Xu, Bingbing Wen, Bin Han +3

Psychology research has shown that humans are poor at estimating their performance on tasks, tending towards underconfidence on easy tasks and overconfidence on difficult tasks. We…

cs.LG2025

Fragments to Facts: Partial-Information Fragment Inference from LLMs

Lucas Rosenblatt, Bin Han, Robert Wolfe +1

Large language models (LLMs) can leak sensitive training data through memorization and membership inference attacks. Prior work has primarily focused on strong adversarial assumpti…

cs.CV2024

Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models (Vision Paper)

Bin Han, Yiwei Yang, Anat Caspi +1

Equitable urban transportation applications require high-fidelity digital representations of the built environment: not just streets and sidewalks, but bike lanes, marked and unmar…

cs.LG2024★ 16 cited

Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings

Robert Wolfe, Isaac Slaughter, Bin Han +8

The rapid proliferation of generative AI has raised questions about the competitiveness of lower-parameter, locally tunable, open-weight models relative to high-parameter, API-guar…

cs.CV2023

Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology

Lucas Rosenblatt, Bin Han, Erin Posthumus +2

An invasive species of grass known as "buffelgrass" contributes to severe wildfires and biodiversity loss in the Southwest United States. We tackle the problem of predicting buffel…