20 citations · 39 across the 6 of their papers we have counts for
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cs.CL2023★ 3 cited
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…
cs.AI2023★ 5 cited
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…