Realistic but Non-Identifiable Synthetic User Data Generation. - Isaac Noble; Ivan Vendrov; Xin Xu; Deepak Ramachandran (EvalRS@KDD, 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)

TaskLAMA: Probing the Complex Task Understanding of Language Models. - Quan Yuan 001; Mehran Kazemi; Xin Xu; Isaac Noble; Vaiva Imbrasaite; Deepak Ramachandran (AAAI, 2024)

Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities. - A. J. Piergiovanni; Isaac Noble; Dahun Kim; Michael S. Ryoo; Victor Gomes; Anelia Angelova (CVPR, 2024)

Memory Augmented Language Models through Mixture of Word Experts. - Cícero Nogueira dos Santos; James Lee-Thorp; Isaac Noble; Chung-Ching Chang; David C. Uthus (NAACL-HLT, 2024)

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning. - A. J. Piergiovanni; Dahun Kim; Michael S. Ryoo; Isaac Noble; Anelia Angelova (CoRR, 2024)