top of page

publications

reascannnn_edited.jpg

When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks
Ankur Sikarwar, Arkil Patel, Navin Goyal

EMNLP 2022 [Oral]

curriculum.png

Learning to Learn: How to Continuously Teach Humans and Machines
Parantak Singh, You Li, Ankur Sikarwar, Weixan Lei, Daniel Gao, Morgan Bruce Talbot,
Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang

ICCV 2023

word_cloud_4.png

Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory

Ankur Sikarwar, Mengmi Zhang

NeurIPS 2023, Datasets and Benchmarks Track

seco_11_edited.jpg

Reason from Context with Self-supervised Learning
Xiao Liu, Ankur Sikarwar, Joo Hwee Lim, Gabriel Kreiman, Zenglin Shi, Mengmi Zhang

In Review

turing.png

Human or Machine? Turing Tests for Vision and Language

Mengmi Zhang, Giorgia Dellaferrera, Ankur Sikarwar, Marcelo Armendariz, Noga Mudrik, Prachi Agrawal, Spandan Madan, Mranmay Shetty, Andrei Barbu, Haochen Yang, Tanishq Kumar, Shui’Er Han, Aman Raj Singh, Meghna Sadwani, Stella Dellaferrera, Michele Pizzochero, Brandon Tang, Hanspeter Pfister, Gabriel Kreiman

In Review

coattn_1.png

On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering

Ankur Sikarwar, Gabriel Kreiman

Preprint

bottom of page