Jul 8, 2020 · In this work, we show that the standard implementation of beam search can be made up to 10x faster in practice. Our method assumes that the ...
In this work, we show that the standard implementation of beam search can be made up to 10x faster in practice. Our method assumes that the scoring function is ...
Dec 1, 2020 · A naive implementation of best-first beam search is to keep a single priority queue with all the active hypotheses ordered by current score.
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We propose best-first beam search, an algorithm that provably returns the same set of results as standard beam search, albeit in the minimum number of scoring ...
In this work, we show that the standard implementation of beam search can be made up to 10x faster in practice. Our method assumes that the scoring function is ...
Jul 9, 2020 · Interesting pre-print a couple of days ago… Best-First Beam Search Clara Meister, Ryan Cotterel, Tim Vieira (Zurich, Cambridge, Johns Hopkins).
Best-first search is a graph search which orders all partial solutions (states) according to some heuristic. But in beam search, only a predetermined number of ...
Feb 17, 2024 · Most Text Generation Models use beam search to select the optimal output candidate. How does one choose the optimal beam size?
Jun 5, 2023 · BEAM Search, a variant of breadth-first Search, is an algorithm that searches a weighted graph for an optimal path from some start node S to some goal node G.
This work shows that the standard implementation of beam search can be made up to 10x faster in practice, and devise effective monotonic approximations to ...