ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. - Chuang Gan 001; Jeremy Schwartz; Seth Alter; Martin Schrimpf; James Traer; Julian De Freitas; Jonas Kubilius; Abhishek Bhandwaldar; Nick Haber; Megumi Sano; Kuno Kim; Elias Wang; et al. (CoRR, 2020)

AGENT: A Benchmark for Core Psychological Reasoning. - Tianmin Shu; Abhishek Bhandwaldar; Chuang Gan 001; Kevin A. Smith 001; Shari Liu; Dan Gutfreund; Elizabeth S. Spelke; Joshua B. Tenenbaum; Tomer D. Ullman (ICML, 2021)

OPEn: An Open-ended Physics Environment for Learning Without a Task. - Chuang Gan 001; Abhishek Bhandwaldar; Antonio Torralba 001; Joshua B. Tenenbaum; Phillip Isola (IROS, 2021)

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. - Chuang Gan 001; Jeremy Schwartz; Seth Alter; Damian Mrowca; Martin Schrimpf; James Traer; Julian De Freitas; Jonas Kubilius; Abhishek Bhandwaldar; Nick Haber; Megumi Sano; Kuno Kim; et al. (NeurIPS Datasets and Benchmarks, 2021)

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI. - Chuang Gan 001; Siyuan Zhou; Jeremy Schwartz; Seth Alter; Abhishek Bhandwaldar; Dan Gutfreund; Daniel L. K. Yamins; James J. DiCarlo; Josh H. McDermott; Antonio Torralba 001; Joshua B. Tenenbaum (CoRR, 2021)

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI. - Chuang Gan 001; Siyuan Zhou; Jeremy Schwartz; Seth Alter; Abhishek Bhandwaldar; Dan Gutfreund; Daniel L. K. Yamins; James J. DiCarlo; Josh H. McDermott; Antonio Torralba 001; Joshua B. Tenenbaum (ICRA, 2022)

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. - Zhang-Wei Hong; Aviral Kumar; Sathwik Karnik; Abhishek Bhandwaldar; Akash Srivastava; Joni Pajarinen; Romain Laroche; Abhishek Gupta 004; Pulkit Agrawal 001 (NeurIPS, 2023)

LAB: Large-Scale Alignment for ChatBots. - Shivchander Sudalairaj; Abhishek Bhandwaldar; Aldo Pareja; Kai Xu 016; David D. Cox; Akash Srivastava (CoRR, 2024)

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs. - Aldo Pareja; Nikhil Shivakumar Nayak; Hao Wang; Krishnateja Killamsetty; Shivchander Sudalairaj; Wenlong Zhao 001; Seungwook Han; Abhishek Bhandwaldar; Guangxuan Xu; Kai Xu 016; Ligong Han; Luke Inglis; et al. (ICLR, 2025)

Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning. - Nikhil Shivakumar Nayak; Krishnateja Killamsetty; Ligong Han; Abhishek Bhandwaldar; Prateek Chanda; Kai Xu 016; Hao Wang; Aldo Pareja; Oleg Silkin; Mustafa Eyceoz; Akash Srivastava (CoRR, 2025)