Maps admitting trialities but not dualities. - Gareth A. Jones; Andrew Poulton (Eur. J. Comb., 2010)

Explaining transformer-based models for automatic short answer grading. - Andrew Poulton; Sebas Eliens (ICDTE, 2021)

Galactica: A Large Language Model for Science. - Ross Taylor; Marcin Kardas; Guillem Cucurull; Thomas Scialom; Anthony Hartshorn; Elvis Saravia; Andrew Poulton; Viktor Kerkez; Robert Stojnic (CoRR, 2022)

A Theory on Adam Instability in Large-Scale Machine Learning. - Igor Molybog; Peter Albert; Moya Chen; Zachary DeVito; David Esiobu; Naman Goyal 001; Punit Singh Koura; Sharan Narang; Andrew Poulton; Ruan Silva; Binh Tang; Diana Liskovich; et al. (CoRR, 2023)

Llama 2: Open Foundation and Fine-Tuned Chat Models. - Hugo Touvron; Louis Martin; Kevin Stone; Peter Albert; Amjad Almahairi; Yasmine Babaei; Nikolay Bashlykov; Soumya Batra; Prajjwal Bhargava; Shruti Bhosale; Dan Bikel; Lukas Blecher; et al. (CoRR, 2023)

Quantifying Variance in Evaluation Benchmarks. - Lovish Madaan; Aaditya K. Singh; Rylan Schaeffer; Andrew Poulton; Sanmi Koyejo; Pontus Stenetorp; Sharan Narang; Dieuwke Hupkes (CoRR, 2024)

Evaluation data contamination in LLMs: how do we measure it and (when) does it matter? - Aaditya K. Singh; Muhammed Yusuf Kocyigit; Andrew Poulton; David Esiobu; Maria Lomeli; Gergely Szilvasy; Dieuwke Hupkes (CoRR, 2024)