8 citations · 12 across the 7 of their papers we have counts for
8 papers
How Do Language Models Compose Functions?
Apoorv Khandelwal, Ellie Pavlick
While large language models (LLMs) appear to be increasingly capable of solving compositional tasks, it is an open question whether they do so using compositional mechanisms. In th…
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
Apoorv Khandelwal, Tian Yun, Nihal V. Nayak +4
Pre-training is notoriously compute-intensive and academic researchers are notoriously under-resourced. It is, therefore, commonly assumed that academics can't pre-train models. In…
Analyzing Modular Approaches for Visual Question Decomposition
Apoorv Khandelwal, Ellie Pavlick, Chen Sun
Modular neural networks without additional training have recently been shown to surpass end-to-end neural networks on challenging vision-language tasks. The latest such methods sim…
What's in a Decade? Transforming Faces Through Time
Eric Ming Chen, Jin Sun, Apoorv Khandelwal +3
How can one visually characterize people in a decade? In this work, we assemble the Faces Through Time dataset, which contains over a thousand portrait images from each decade, spa…
A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge
Dustin Schwenk, Apoorv Khandelwal, Christopher Clark +2
The Visual Question Answering (VQA) task aspires to provide a meaningful testbed for the development of AI models that can jointly reason over visual and natural language inputs. D…
Simple but Effective: CLIP Embeddings for Embodied AI
Apoorv Khandelwal, Luca Weihs, Roozbeh Mottaghi +1
Contrastive language image pretraining (CLIP) encoders have been shown to be beneficial for a range of visual tasks from classification and detection to captioning and image manipu…
Who's Waldo? Linking People Across Text and Images
Claire Yuqing Cui, Apoorv Khandelwal, Yoav Artzi +2
We present a task and benchmark dataset for person-centric visual grounding, the problem of linking between people named in a caption and people pictured in an image. In contrast t…
An Ethical Highlighter for People-Centric Dataset Creation
Margot Hanley, Apoorv Khandelwal, Hadar Averbuch-Elor +2
Important ethical concerns arising from computer vision datasets of people have been receiving significant attention, and a number of datasets have been withdrawn as a result. To m…