Tight Hardness Results for LCS and Other Sequence Similarity Measures
By Amir Abboud, Arturs Backurs, Virginia Vassilevska Williams. 2015
263 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Algorithms & Complexity, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- J. Ainslie
- Santiago Ontañón
- Anirudh Ravula
- Philip Pham
- Manzil Zaheer
- Li Yang
- Chris Alberti
- Amr Ahmed
In Algorithms & Complexity
In Signal Processing
Citations in the corpus
- Big Bird: Transformers for Longer Sequences (2020, background): “The impossibility for sparse-attention follows from hardness results stemming from Orthogonal Vector Conjecture(OVC) [1, 2, 7, 97].”
- On The Computational Complexity of Self-Attention (2022, background): “In particular, this approach has been shown to provide conditional lower bounds on well-known problems such as edit distance [15], Frechet distance [16], dynamic time warping [17], longest common subsequence (LCS) [37], Hausdorff distance [38], and string matching [39].”