Byte Pair Encoding

Target entity: Byte Pair Encoding
Context triple: [GPT-1, tokenizerType, Byte Pair Encoding]

• A. Burrows–Wheeler transform
  The Burrows–Wheeler transform is a reversible text transformation used in data compression to rearrange a string into runs of similar characters, enabling more efficient encoding by subsequent algorithms.
• B. Lloyd’s algorithm
  Lloyd’s algorithm is an iterative clustering method that partitions data into k groups by repeatedly assigning points to the nearest cluster center and updating those centers to minimize within-cluster variance.
• C. LZ77
  LZ77 is a foundational lossless data compression algorithm that uses a sliding window to replace repeated occurrences of data with references to a single copy.
• D. Context-Adaptive Binary Arithmetic Coding
  Context-Adaptive Binary Arithmetic Coding (CABAC) is an advanced lossless entropy coding technique used in modern video compression standards to achieve high compression efficiency by modeling symbol probabilities with context.
• E. Huffman
  Huffman is a surname most commonly associated with the American computer scientist David A. Huffman, known for developing Huffman coding in information theory and data compression.
• F. None of above. chosen
• G. Unsure - the case is ambiguous/there is not enough information to decide.

Target entity: Byte Pair Encoding
Target entity description: Byte Pair Encoding is a subword tokenization algorithm that represents text as variable-length units by iteratively merging frequent symbol pairs, enabling efficient handling of rare and out-of-vocabulary words in language models.

• A. Burrows–Wheeler transform
  The Burrows–Wheeler transform is a reversible text transformation used in data compression to rearrange a string into runs of similar characters, enabling more efficient encoding by subsequent algorithms.
• B. Lloyd’s algorithm
  Lloyd’s algorithm is an iterative clustering method that partitions data into k groups by repeatedly assigning points to the nearest cluster center and updating those centers to minimize within-cluster variance.
• C. LZ77
  LZ77 is a foundational lossless data compression algorithm that uses a sliding window to replace repeated occurrences of data with references to a single copy.
• D. Context-Adaptive Binary Arithmetic Coding
  Context-Adaptive Binary Arithmetic Coding (CABAC) is an advanced lossless entropy coding technique used in modern video compression standards to achieve high compression efficiency by modeling symbol probabilities with context.
• E. Huffman
  Huffman is a surname most commonly associated with the American computer scientist David A. Huffman, known for developing Huffman coding in information theory and data compression.
• F. None of above. chosen