"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms. - Kunal Handa; Margaret Clapper; Jessica Boyle; Rose E. Wang; Diyi Yang; David S. Yeager; Dorottya Demszky (EMNLP, 2023)

Emergence of Abstract State Representations in Embodied Sequence Modeling. - Tian Yun 001; Zilai Zeng; Kunal Handa; Ashish V. Thapliyal; Bo Pang 001; Ellie Pavlick; Chen Sun 002 (EMNLP, 2023)

Task Ambiguity in Humans and Language Models. - Alex Tamkin; Kunal Handa; Avash Shrestha; Noah D. Goodman (ICLR, 2023)

Bayesian Preference Elicitation with Language Models. - Kunal Handa; Yarin Gal; Ellie Pavlick; Noah D. Goodman; Jacob Andreas; Alex Tamkin; Belinda Z. Li (CoRR, 2024)

Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy. - Benedict Aaron Tjandra; Muhammed Razzak; Jannik Kossen; Kunal Handa; Yarin Gal (CoRR, 2024)

Clio: Privacy-Preserving Insights into Real-World AI Use. - Alex Tamkin; Miles McCain; Kunal Handa; Esin Durmus; Liane Lovitt; Ankur Rathi; Saffron Huang; Alfred Mountfield; Jerry Hong; Stuart Ritchie; Michael Stern; Brian Clarke; et al. (CoRR, 2024)

Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations. - Kunal Handa; Alex Tamkin; Miles McCain; Saffron Huang; Esin Durmus; Sarah Heck; Jared Mueller; Jerry Hong; Stuart Ritchie; Tim Belonax; Kevin K. Troy; Dario Amodei; et al. (CoRR, 2025)

Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions. - Saffron Huang; Esin Durmus; Miles McCain; Kunal Handa; Alex Tamkin; Jerry Hong; Michael Stern; Arushi Somani; Xiuruo Zhang; Deep Ganguli (CoRR, 2025)