Ishita Dasgupta

56 papers A* 13B 8Journal 30Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decoupling the components of geometric understanding in Vision Language Models. CoRR Eliza Kosoy, Annya L. Dahmani, Andrew K. Lampinen, Iulia M. Comsa, Soojin Jeong, Ishita Dasgupta, Kelsey Allen
2025	J	`jnl`	Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility. CoRR Michael A. Lepori, Jennifer Hu, Ishita Dasgupta, Roma Patel, Thomas Serre, Ellie Pavlick
2025	A*	`conf`	ReCogLab: a framework testing relational reasoning & cognitive hypotheses on LLMs. ICLR Andrew Liu, Henry Prior, Gargi Balasubramaniam, Rivka Moroshko, Amir Zait, Ilia Labzovsky, Danny Karmon, Ishita Dasgupta, Kim Stachenfeld, Kenneth Marino
2025	J	`jnl`	The in-context inductive biases of vision-language models differ across modalities. CoRR Kelsey Allen, Ishita Dasgupta, Eliza Kosoy, Andrew K. Lampinen
2024	—	`conf`	A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. NAACL-HLT Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen
2024	A*	`conf`	How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? ICML Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths
2024	J	`jnl`	How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? CoRR Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths
2024	B	`conf`	In-context learning in natural and artificial intelligence. CogSci Akshay Kumar Jagadish, Ishita Dasgupta, Jacques Pesnot Lerousseau, Marcel Binz
2024	A*	`conf`	PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. ICML 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
2024	J	`jnl`	PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. CoRR 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
2024	—	`conf`	Plot Twist: Multimodal Models Don't Comprehend Simple Chart Details. EMNLP (Findings) Yasaman Razeghi, Ishita Dasgupta, Fangyu Liu, Vinay Ramasesh, Sameer Singh
2024	A*	`conf`	ReMI: A Dataset for Reasoning with Multiple Images. NeurIPS Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Sreenivas Gollapudi, Dee Guo, Ahmed Qureshi
2024	J	`jnl`	ReMI: A Dataset for Reasoning with Multiple Images. CoRR Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi
2024	J	`jnl`	Scaling Instructable Agents Across Many Simulated Worlds. CoRR SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young
2024	—	`conf`	The Impact of Depth on Compositional Generalization in Transformer Language Models. NAACL-HLT Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta, Fei Sha, Dan Garrette, Tal Linzen
2023	J	`jnl`	A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. CoRR Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen
2023	J	`jnl`	Collaborating with language models for embodied reasoning. CoRR Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus
2023	J	`jnl`	Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. PLoS Comput. Biol. Sreejan Kumar, Ishita Dasgupta, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths
2023	A*	`conf`	Distilling Internet-Scale Vision-Language Models into Embodied Agents. ICML Theodore R. Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta
2023	J	`jnl`	Distilling Internet-Scale Vision-Language Models into Embodied Agents. CoRR Theodore R. Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta
2023	J	`jnl`	Hierarchical reinforcement learning with natural language subgoals. CoRR Arun Ahuja, Kavya Kopparapu, Rob Fergus, Ishita Dasgupta
2023	J	`jnl`	Meta-Learned Models of Cognition. CoRR Marcel Binz, Ishita Dasgupta, Akshay K. Jagadish, Matthew M. Botvinick, Jane X. Wang, Eric Schulz
2023	A*	`conf`	Passive learning of active causal strategies in agents and language models. NeurIPS Andrew K. Lampinen, Stephanie C. Y. Chan, Ishita Dasgupta, Andrew J. Nam, Jane X. Wang
2023	J	`jnl`	Passive learning of active causal strategies in agents and language models. CoRR Andrew Kyle Lampinen, Stephanie C. Y. Chan, Ishita Dasgupta, Andrew J. Nam, Jane X. Wang
2023	J	`jnl`	The Impact of Depth and Width on Transformer Language Model Generalization. CoRR Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta, Fei Sha, Dan Garrette, Tal Linzen
2022	—	`conf`	Can language models learn from explanations in context? EMNLP (Findings) Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane Wang, Felix Hill
2022	J	`jnl`	Can language models learn from explanations in context? CoRR Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane X. Wang, Felix Hill
2022	J	`jnl`	Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. CoRR Sreejan Kumar, Ishita Dasgupta, Raja Marjieh, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths
2022	A*	`conf`	Distinguishing rule and exemplar-based generalization in learning systems. ICML Ishita Dasgupta, Erin Grant, Tom Griffiths
2022	J	`jnl`	Language models show human-like content effects on reasoning. CoRR Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, Antonia Creswell, Dharshan Kumaran, James L. McClelland, Felix Hill
2022	A*	`conf`	Learning Structure from the Ground up - Hierarchical Representation Learning by Chunking. NeurIPS Shuchen Wu, Noémi Élteto, Ishita Dasgupta, Eric Schulz
2022	A*	`conf`	Learning to Navigate Wikipedia by Taking Random Walks. NeurIPS Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus
2022	J	`jnl`	Learning to Navigate Wikipedia by Taking Random Walks. CoRR Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus
2022	A*	`conf`	Tell me why! Explanations support learning relational and causal structure. ICML Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill
2022	J	`jnl`	Transformers generalize differently from information stored in context vs in weights. CoRR Stephanie C. Y. Chan, Ishita Dasgupta, Junkyung Kim, Dharshan Kumaran, Andrew K. Lampinen, Felix Hill
2022	J	`jnl`	Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. CoRR Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths
2022	A*	`conf`	Using natural language and program abstractions to instill human inductive biases in machines. NeurIPS Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths
2021	B	`conf`	Are Convolutional Neural Networks or Transformers more like human vision? CogSci Shikhar Tuli, Ishita Dasgupta, Erin Grant, Tom Griffiths
2021	J	`jnl`	Are Convolutional Neural Networks or Transformers more like human vision? CoRR Shikhar Tuli, Ishita Dasgupta, Erin Grant, Thomas L. Griffiths
2021	B	`conf`	Chunking as a Rational Solution to the Speed-Accuracy Trade-off in a Serial Reaction Time Task. CogSci Shuchen Wu, Noémi Élteto, Ishita Dasgupta, Eric Schulz
2021	J	`jnl`	Distinguishing rule- and exemplar-based generalization in learning systems. CoRR Ishita Dasgupta, Erin Grant, Thomas L. Griffiths
2021	B	`conf`	How does mental sorting scale? CogSci Susanne Haridi, Charley M. Wu, Ishita Dasgupta, Eric Schulz
2021	A*	`conf`	Meta-Learning of Structured Task Distributions in Humans and Machines. ICLR Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
2021	A*	`conf`	Passive attention in artificial neural networks predicts human visual selectivity. NeurIPS Thomas A. Langlois, H. Charles Zhao, Erin Grant, Ishita Dasgupta, Thomas L. Griffiths, Nori Jacoby
2021	J	`jnl`	Passive attention in artificial neural networks predicts human visual selectivity. CoRR Thomas A. Langlois, H. Charles Zhao, Erin Grant, Ishita Dasgupta, Thomas L. Griffiths, Nori Jacoby
2021	J	`jnl`	Tell me why! - Explanations support learning of relational and causal structure. CoRR Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill
2020	J	`jnl`	Analyzing Machine-Learned Representations: A Natural Language Case Study. Cogn. Sci. Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman
2020	J	`jnl`	Meta-Learning of Compositional Task Distributions in Humans and Machines. CoRR Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
2019	J	`jnl`	Analyzing machine-learned representations: A natural language case study. CoRR Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman
2019	J	`jnl`	Causal Reasoning from Meta-reinforcement Learning. CoRR Ishita Dasgupta, Jane X. Wang, Silvia Chiappa, Jovana Mitrovic, Pedro A. Ortega, David Raposo, Edward Hughes, Peter W. Battaglia, Matthew M. Botvinick, Zeb Kurth-Nelson
2019	B	`conf`	Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. CogSci Ishita Dasgupta, Eric Schulz, Jessica B. Hamrick, Josh Tenenbaum
2018	B	`conf`	Evaluating Compositionality in Sentence Embeddings. CogSci Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel Gershman, Noah D. Goodman
2018	J	`jnl`	Evaluating Compositionality in Sentence Embeddings. CoRR Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel J. Gershman, Noah D. Goodman
2018	B	`conf`	Learning to act by integrating mental simulations and physical experiments. CogSci Ishita Dasgupta, Kevin A. Smith, Eric Schulz, Josh Tenenbaum, Samuel Gershman
2017	B	`conf`	Amortized Hypothesis Generation. CogSci Ishita Dasgupta, Eric Schulz, Noah D. Goodman, Samuel J. Gershman
2017	—	`conf`	Markov Transitions between Attractor States in a Recurrent Neural Network. AAAI Spring Symposia Jeremy Bernstein, Ishita Dasgupta, David Rolnick, Haim Sompolinsky