NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

Reverse Engineering the Neural Tangent Kernel. - James Benjamin Simon; Sajant Anand; Michael Robert DeWeese (ICML, 2022)

Evidence for the utility of quantum computing before fault tolerance. - Youngseok Kim; Andrew Eddins; Sajant Anand; Ken Xuan Wei; Ewout van den Berg; Sami Rosenblatt; Hasan Nayfeh; Yantao Wu; Michael Zaletel; Kristan Temme; Abhinav Kandala (Nat., 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)