Neo, Clement

Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts

Haimes, J., Wenner, C., Thaman, K., Tashev, V., Neo, C., Kran, E., & Schreiber, J. (2024) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 3

Turning up the heat: Min-p sampling for creative and coherent llm outputs

Nguyen, M. N., Baker, A., Neo, C., Roush, A., Kirsch, A., & Shwartz-Ziv, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1