5 citations · 10 across the 3 of their papers we have counts for
3 papers
Data Contamination Through the Lens of Time
Manley Roberts, Himanshu Thakur, Christine Herlihy +2
Recent claims about the impressive abilities of large language models (LLMs) are often supported by evaluating publicly available benchmarks. Since LLMs train on wide swaths of the…
Giraffe: Adventures in Expanding Context Lengths in LLMs
Arka Pal, Deep Karkhanis, Manley Roberts +3
Modern large language models (LLMs) that rely on attention mechanisms are typically trained with fixed context lengths which enforce upper limits on the length of input sequences t…
Unsupervised Learning under Latent Label Shift
Manley Roberts, Pranav Mani, Saurabh Garg +1
What sorts of structure might enable a learner to discover classes from unlabeled data? Traditional approaches rely on feature-space similarity and heroic assumptions on the data.…