publications
One Flow-Transformer for Imagination and Control
Rabiul Awal, Jinseong Jeong, Ankur Sikarwar, Parisa Kordjamshidi, Andrii Zadaianchuk, Sai Rajeswar, Paul Hongsuck Seo, Aishwarya Agrawal
In Review
Communicating about Space: Language-Mediated Spatial Integration Across Partial Views
Ankur Sikarwar*, Debangan Mishra*, Sudarshan Nikhil, Ponnurangam Kumaraguru, Aishwarya Agrawal (* Denotes equal contribution)
In Review
The Promise of RL for Autoregressive Image Editing
Saba Ahmadi*, Rabiul Awal*, Ankur Sikarwar*, Amirhossein Kazemnejad*, Ge Ya Luo, Juan A. Rodriguez, Sai Rajeswar, Siva Reddy, Christopher Pal, Benno Krojer, Aishwarya Agrawal (* Denotes equal contribution)
NeurIPS 2025
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
Nature Human Behaviour 2026
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
On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering
Ankur Sikarwar, Gabriel Kreiman
Preprint
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory
Ankur Sikarwar, Mengmi Zhang
NeurIPS 2023, Datasets and Benchmarks Track
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks
Ankur Sikarwar, Arkil Patel, Navin Goyal
EMNLP 2022 [Oral]
Reason from Context with Self-supervised Learning
Xiao Liu, Ankur Sikarwar, Joo Hwee Lim, Gabriel Kreiman, Zenglin Shi, Mengmi Zhang
In Review