Dooley, Samuel

LiveBench: A Challenging, Contamination-Limited LLM Benchmark

White, C., Dooley, S., Roberts, M., Pal, A., Feuer, B., Jain, S., Shwartz-Ziv, R., Jain, N., Saifullah, K., Dey, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 20

Giraffe: Adventures in Expanding Context Lengths in LLMs

Pal, A., Karkhanis, D., Roberts, M., Dooley, S., Sundararajan, A., & Naidu, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive

Pal, A., Karkhanis, D., Dooley, S., Roberts, M., Naidu, S., & White, C. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

Data Contamination Through the Lens of Time

Roberts, M., Thakur, H., Herlihy, C., White, C., & Dooley, S. (2023) · arXiv

Topic ModelingSoftware Engineering Research

Cited by 2

Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking

Feuer, B., Goldblum, M., Datta, T., Nambiar, S., Besaleli, R., Dooley, S., Cembalest, M., & Dickerson, J. P. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2