Transformer decoder
E1312426
UNEXPLORED
A Transformer decoder is a neural network component that generates output sequences step-by-step using self-attention and cross-attention over encoder representations, widely used in modern sequence-to-sequence models.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Transformer decoder canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T18204421 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transformer decoder Context triple: [T5, usesDecoder, Transformer decoder]
-
A.
EncoderDecoderModel
EncoderDecoderModel is a Hugging Face Transformers architecture that combines a separate encoder and decoder into a unified sequence-to-sequence model for tasks like translation, summarization, and text generation.
-
B.
Transformer
Transformer is a neural network architecture based on self-attention mechanisms that has become the foundation for modern large language models and many state-of-the-art systems in natural language processing.
-
C.
Transformer
Transformer is a 1972 glam rock album by Lou Reed, co-produced by David Bowie and Mick Ronson, known for its influential sound and iconic tracks like "Walk on the Wild Side."
-
D.
Transformer encoder-only
A Transformer encoder-only model is a neural network architecture that uses only the encoder stack of the Transformer to process input sequences, typically for tasks like classification, retrieval, and masked language modeling.
-
E.
Transformer-XL
Transformer-XL is a neural network architecture for language modeling that extends the Transformer with segment-level recurrence and relative positional encodings to better capture long-range dependencies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Transformer decoder Target entity description: A Transformer decoder is a neural network component that generates output sequences step-by-step using self-attention and cross-attention over encoder representations, widely used in modern sequence-to-sequence models.
-
A.
EncoderDecoderModel
EncoderDecoderModel is a Hugging Face Transformers architecture that combines a separate encoder and decoder into a unified sequence-to-sequence model for tasks like translation, summarization, and text generation.
-
B.
Transformer
Transformer is a neural network architecture based on self-attention mechanisms that has become the foundation for modern large language models and many state-of-the-art systems in natural language processing.
-
C.
Transformer
Transformer is a 1972 glam rock album by Lou Reed, co-produced by David Bowie and Mick Ronson, known for its influential sound and iconic tracks like "Walk on the Wild Side."
-
D.
Transformer encoder-only
A Transformer encoder-only model is a neural network architecture that uses only the encoder stack of the Transformer to process input sequences, typically for tasks like classification, retrieval, and masked language modeling.
-
E.
Transformer-XL
Transformer-XL is a neural network architecture for language modeling that extends the Transformer with segment-level recurrence and relative positional encodings to better capture long-range dependencies.
- F. None of above. chosen
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.