Do Massively Pretrained Language Models Make Better Storytellers? - Abigail See; Aneesh Pappu; Rohun Saxena; Akhila Yerukola; Christopher D. Manning (CoNLL, 2019)

Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning. - Aneesh Pappu; Brooks Paige (CoRR, 2020)

Scaling Instructable Agents Across Many Simulated Worlds. - 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; et al. (CoRR, 2024)

Measuring memorization in RLHF for code completion. - Aneesh Pappu; Billy Porter; Ilia Shumailov; Jamie Hayes (CoRR, 2024)

Operationalizing Contextual Integrity in Privacy-Conscious Assistants. - Sahra Ghalebikesabi; Eugene Bagdasaryan; Ren Yi; Itay Yona; Ilia Shumailov; Aneesh Pappu; Chongyang Shi 003; Laura Weidinger; Robert Stanforth; Leonard Berrada; Pushmeet Kohli; Po-Sen Huang; et al. (CoRR, 2024)

Measuring memorization in RLHF for code completion. - Jamie Hayes; Ilia Shumailov; William P. Porter; Aneesh Pappu (ICLR, 2025)

Privacy Awareness for Information-Sharing Assistants: A Case-study on Form-filling with Contextual Integrity. - Sahra Ghalebikesabi; Eugene Bagdasarian; Ren Yi; Itay Yona; Ilia Shumailov; Aneesh Pappu; Chongyang Shi 003; Laura Weidinger; Robert Stanforth; Leonard Berrada; Pushmeet Kohli; Po-Sen Huang; et al. (Trans. Mach. Learn. Res., 2025)

Lessons from Defending Gemini Against Indirect Prompt Injections. - Chongyang Shi 003; Sharon Lin; Shuang Song 001; Jamie Hayes; Ilia Shumailov; Itay Yona; Juliette Pluto; Aneesh Pappu; Christopher A. Choquette-Choo; Milad Nasr; Chawin Sitawarin; Gena Gibson; et al. (CoRR, 2025)

The Landscape of Memorization in LLMs: Mechanisms, Measurement, and Mitigation. - Alexander Xiong; Xuandong Zhao; Aneesh Pappu; Dawn Song (CoRR, 2025)