Dasgupta, Ishita

22 publications

NeurIPS 2025 DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models Cathy Jiao, Yijun Pan, Emily Xiao, Daisy Sheng, Niket Jain, Hanzhang Zhao, Ishita Dasgupta, Jiaqi W. Ma, Chenyan Xiong

ICLRW 2025 Decoupling the Components of Geometric Understanding Eliza Kosoy, Annya Dahmani, Andrew Kyle Lampinen, Iulia Maria Comsa, Soojin Jeong, Ishita Dasgupta, Kelsey R Allen

NeurIPS 2025 Handling Missing Responses Under Cluster Dependence with Applications to Language Model Evaluation Zhenghao Zeng, David Arbour, Avi Feller, Ishita Dasgupta, Atanu R. Sinha, Edward Kennedy

ICLR 2025 ReCogLab: A Framework Testing Relational Reasoning & Cognitive Hypotheses on LLMs Andrew Liu, Henry Prior, Gargi Balasubramaniam, Rivka Moroshko, Amir Zait, Ilia Labzovsky, Danny Karmon, Ishita Dasgupta, Kim Stachenfeld, Kenneth Marino

ICCV 2025 SKALD: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation Chen-Yi Lu, Md Mehrab Tanjim, Ishita Dasgupta, Somdeb Sarkhel, Gang Wu, Saayan Mitra, Somali Chaterji

ICLRW 2025 The In-Context Inductive Biases of Vision-Language Models Differ Across Modalities Kelsey R Allen, Eliza Kosoy, Ishita Dasgupta, Andrew Kyle Lampinen

CVPR 2024 HanDiffuser: Text-to-Image Generation with Realistic Hand Appearances Supreeth Narasimhaswamy, Uttaran Bhattacharya, Xiang Chen, Ishita Dasgupta, Saayan Mitra, Minh Hoai

ICML 2024 How Do Large Language Models Navigate Conflicts Between Honesty and Helpfulness? Ryan Liu, Theodore Sumers, Ishita Dasgupta, Thomas L. Griffiths

ICLR 2024 Large Content and Behavior Models to Understand, Simulate, and Optimize Content and Behavior Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy

ICML 2024 PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter

NeurIPS 2024 ReMI: A Dataset for Reasoning with Multiple Images Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi

ICML 2023 Distilling Internet-Scale Vision-Language Models into Embodied Agents Theodore Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta

NeurIPS 2023 Passive Learning of Active Causal Strategies in Agents and Language Models Andrew Lampinen, Stephanie Chan, Ishita Dasgupta, Andrew Nam, Jane Wang

NeurIPSW 2022 Collaborating with Language Models for Embodied Reasoning Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus

NeurIPSW 2022 Collaborating with Language Models for Embodied Reasoning Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus

ICML 2022 Distinguishing Rule and Exemplar-Based Generalization in Learning Systems Ishita Dasgupta, Erin Grant, Tom Griffiths

NeurIPS 2022 Learning Structure from the Ground Up---Hierarchical Representation Learning by Chunking Shuchen Wu, Noemi Elteto, Ishita Dasgupta, Eric Schulz

NeurIPS 2022 Learning to Navigate Wikipedia by Taking Random Walks Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus

ICML 2022 Tell Me Why! Explanations Support Learning Relational and Causal Structure Andrew K Lampinen, Nicholas Roy, Ishita Dasgupta, Stephanie Cy Chan, Allison Tam, James Mcclelland, Chen Yan, Adam Santoro, Neil C Rabinowitz, Jane Wang, Felix Hill

NeurIPS 2022 Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y Hu, Robert Hawkins, Jonathan D Cohen, Nathaniel Daw, Karthik Narasimhan, Tom Griffiths

ICLR 2021 Meta-Learning of Structured Task Distributions in Humans and Machines Sreejan Kumar, Ishita Dasgupta, Jonathan Cohen, Nathaniel Daw, Thomas Griffiths

NeurIPS 2021 Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity Thomas Langlois, Haicheng Zhao, Erin Grant, Ishita Dasgupta, Tom Griffiths, Nori Jacoby