23 citations · 37 across the 9 of their papers we have counts for
9 papers
INQUIRE-Search: Interactive Discovery in Large-Scale Biodiversity Databases
Edward Vendrow, Julia Chae, Rupa Kurinchi-Vendhan +10
Many ecological questions center on complex phenomena, such as species interactions, behaviors, phenology, and responses to disturbance, that are inherently difficult to observe an…
Do Large Language Model Benchmarks Test Reliability?
Joshua Vendrow, Edward Vendrow, Sara Beery +1
When deploying large language models (LLMs), it is important to ensure that these models are not only capable, but also reliable. Many benchmarks have been created to track LLMs' g…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
INQUIRE: A Natural World Text-to-Image Retrieval Benchmark
Edward Vendrow, Omiros Pantazis, Alexander Shepard +5
We introduce INQUIRE, a text-to-image retrieval benchmark designed to challenge multimodal vision-language models on expert-level queries. INQUIRE includes iNaturalist 2024 (iNat24…
Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)
Zane Durante, Robathan Harries, Edward Vendrow +5
Understanding Activities of Daily Living (ADLs) is a crucial step for different applications including assistive robots, smart homes, and healthcare. However, to date, few benchmar…
Agile Modeling: From Concept to Classifier in Minutes
Otilia Stretcu, Edward Vendrow, Kenji Hata +15
The application of computer vision to nuanced subjective use cases is growing. While crowdsourcing has served the vision community well for most objective tasks (such as labeling a…
JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking
Edward Vendrow, Duy Tho Le, Jianfei Cai +1
Autonomous robotic systems operating in human environments must understand their surroundings to make accurate and safe decisions. In crowded human scenes with close-up human-robot…
SoMoFormer: Multi-Person Pose Forecasting with Transformers
Edward Vendrow, Satyajit Kumar, Ehsan Adeli +1
Human pose forecasting is a challenging problem involving complex human body motion and posture dynamics. In cases that there are multiple people in the environment, one's motion m…
Understanding Transfer Learning for Chest Radiograph Clinical Report Generation with Modified Transformer Architectures
Edward Vendrow, Ethan Schonfeld
The image captioning task is increasingly prevalent in artificial intelligence applications for medicine. One important application is clinical report generation from chest radiogr…