Unsupervised Learning under Latent Label Shift. - Manley Roberts; Pranav Mani; Saurabh Garg; Zachary C. Lipton (NeurIPS, 2022)

Giraffe: Adventures in Expanding Context Lengths in LLMs. - Arka Pal; Deep Karkhanis; Manley Roberts; Samuel Dooley; Arvind Sundararajan; Siddartha Naidu (CoRR, 2023)

Data Contamination Through the Lens of Time. - Manley Roberts; Himanshu Thakur; Christine Herlihy; Colin White; Samuel Dooley (CoRR, 2023)

To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination. - Manley Roberts; Himanshu Thakur; Christine Herlihy; Colin White; Samuel Dooley (ICLR, 2024)

Large Language Models Must Be Taught to Know What They Don't Know. - Sanyam Kapoor; Nate Gruver; Manley Roberts; Katie Collins; Arka Pal; Umang Bhatt; Adrian Weller; Samuel Dooley; Micah Goldblum; Andrew Gordon Wilson (NeurIPS, 2024)

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive. - Arka Pal; Deep Karkhanis; Samuel Dooley; Manley Roberts; Siddartha Naidu; Colin White (CoRR, 2024)

LiveBench: A Challenging, Contamination-Free LLM Benchmark. - Colin White; Samuel Dooley; Manley Roberts; Arka Pal; Benjamin Feuer; Siddhartha Jain 001; Ravid Shwartz-Ziv; Neel Jain; Khalid Saifullah; Siddartha Naidu; Chinmay Hegde; Yann LeCun; et al. (CoRR, 2024)

LiveBench: A Challenging, Contamination-Limited LLM Benchmark. - Colin White; Samuel Dooley; Manley Roberts; Arka Pal; Benjamin Feuer; Siddhartha Jain 001; Ravid Shwartz-Ziv; Neel Jain; Khalid Saifullah; Sreemanti Dey; Shubh-Agrawal; Sandeep Singh Sandha; et al. (ICLR, 2025)