Mutual exclusivity as a challenge for neural networks. - Kanishk Gandhi; Brenden M. Lake (CoRR, 2019)

Mutual exclusivity as a challenge for deep neural networks. - Kanishk Gandhi; Brenden M. Lake (NeurIPS, 2020)

Evaluating infants' reasoning about agents using the Baby Intuitions Benchmark (BIB). - Gala Stojnic; Kanishk Gandhi; Brenden M. Lake; Moira R. Dillon (CogSci, 2021)

Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others. - Kanishk Gandhi; Gala Stojnic; Brenden M. Lake; Moira R. Dillon (NeurIPS, 2021)

Eliciting Compatible Demonstrations for Multi-Human Imitation Learning. - Kanishk Gandhi; Siddharth Karamcheti; Madeline Liao; Dorsa Sadigh (CoRL, 2022)

Intuitions about physical scenes and objects in Virtual Reality (VR). - Peter Zhu; Kanishk Gandhi; Yixing Wang; Steven Le; Jiajun Wu 001; Hyowon Gweon (CogSci, 2023)

Understanding Social Reasoning in Language Models with Language Models. - Kanishk Gandhi; Jan-Philipp Fränken; Tobias Gerstenberg; Noah D. Goodman (NeurIPS, 2023)

Strategic Reasoning with Language Models. - Kanishk Gandhi; Dorsa Sadigh; Noah D. Goodman (CoRR, 2023)

Certified Reasoning with Language Models. - Gabriel Poesia; Kanishk Gandhi; Eric Zelikman; Noah D. Goodman (CoRR, 2023)

Exciton-Polariton Condensates: A Fourier Neural Operator Approach. - Surya T. Sathujoda; Yuan Wang; Kanishk Gandhi (CoRR, 2023)

Social Contract AI: Aligning AI Assistants with Implicit Group Norms. - Jan-Philipp Fränken; Sam Kwok; Peixuan Ye; Kanishk Gandhi; Dilip Arumugam; Jared Moore; Alex Tamkin; Tobias Gerstenberg; Noah D. Goodman (CoRR, 2023)

Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels. - Jan-Philipp Fränken; Eric Zelikman; Rafael Rafailov; Kanishk Gandhi; Tobias Gerstenberg; Noah D. Goodman (NeurIPS, 2024)

Stream of Search (SoS): Learning to Search in Language. - Kanishk Gandhi; Denise Lee; Gabriel Grand; Muxin Liu; Winson Cheng; Archit Sharma; Noah D. Goodman (CoRR, 2024)

Procedural Dilemma Generation for Evaluating Moral Reasoning in Humans and Language Models. - Jan-Philipp Fränken; Kanishk Gandhi; Tori Qiu; Ayesha Khawaja; Noah D. Goodman; Tobias Gerstenberg (CoRR, 2024)

Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models. - Joy He-Yueya; Wanjing Anya Ma; Kanishk Gandhi; Benjamin W. Domingue; Emma Brunskill; Noah D. Goodman (CoRR, 2024)

Human-like Affective Cognition in Foundation Models. - Kanishk Gandhi; Zoe Lynch; Jan-Philipp Fränken; Kayla Patterson; Sharon Wambu; Tobias Gerstenberg; Desmond C. Ong; Noah D. Goodman (CoRR, 2024)

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models. - Alex Havrilla; Andrew Dai 001; Laura O'Mahony; Koen Oostermeijer; Vera Zisler; Alon Albalak; Fabrizio Milo; Sharath Chandra Raparthy; Kanishk Gandhi; Baber Abbasi; Duy Phung; Maia Iyer; et al. (CoRR, 2024)

Certified Deductive Reasoning with Language Models. - Gabriel Poesia; Kanishk Gandhi; Eric Zelikman; Noah D. Goodman (Trans. Mach. Learn. Res., 2024)

BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery. - Kanishk Gandhi; Michael Y. Li; Lyle Goodyear; Louise Li; Aditi Bhaskar; Mohammed Zaman; Noah D. Goodman (CoRR, 2025)

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought. - Violet Xiang; Charlie Snell; Kanishk Gandhi; Alon Albalak; Anikait Singh; Chase Blagden; Duy Phung; Rafael Rafailov; Nathan Lile; Dakota Mahan; Louis Castricato; Jan-Philipp Fränken; et al. (CoRR, 2025)

Non-literal Understanding of Number Words by Language Models. - Polina Tsvilodub; Kanishk Gandhi; Haoran Zhao; Jan-Philipp Fränken; Michael Franke; Noah D. Goodman (CoRR, 2025)

Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models. - Alon Albalak; Duy Phung; Nathan Lile; Rafael Rafailov; Kanishk Gandhi; Louis Castricato; Anikait Singh; Chase Blagden; Violet Xiang; Dakota Mahan; Nick Haber (CoRR, 2025)

Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs. - Kanishk Gandhi; Ayush Chakravarthy; Anikait Singh; Nathan Lile; Noah D. Goodman (CoRR, 2025)

Scaling up the think-aloud method. - Daniel Wurgaft; Ben Prystawski; Kanishk Gandhi; Cedegao E. Zhang; Joshua B. Tenenbaum; Noah D. Goodman (CoRR, 2025)