1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.DS2025
Intermediate N-Gramming: Deterministic and Fast N-Grams For Large N and Large Datasets
Ryan R. Curtin, Fred Lu, Edward Raff +1
The number of n-gram features grows exponentially in n, making it computationally demanding to compute the most frequent n-grams even for n as small as 3. Motivated by our producti…
cs.IR2025
Graph-Based Re-ranking in Information Retrieval and Beyond: A Survey
Md Shahir Zaoad, Niamat Zawad, Priyanka Ranade +1
The two-stage information retrieval (IR) framework, also known as the retrieve-then-re-rank pipeline, has empowered numerous AI paradigms, including retrieval-augmented generation…
cs.DC2023★ 1 cited
Scaling Studies for Efficient Parameter Search and Parallelism for Large Language Model Pre-training
Michael Benington, Leo Phan, Chris Pierre Paul +5
AI accelerator processing capabilities and memory constraints largely dictate the scale in which machine learning workloads (e.g., training and inference) can be executed within a…