Papers with affine transformation

3 papers
Improving Knowledge Graph Embedding Using Affine Transformations of Entities Corresponding to Each Relation (2021.findings-emnlp)

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Challenge: Existing knowledge graph embedding methods use k-dimensional vectors to represent each entity in a knowledge graph.
Approach: They propose to use affine transformations to embed knowledge graphs using previous methods . they propose to add k additional variables to the existing methods to perform embedding .
Outcome: The proposed method outperforms RotatE, Distmult and ComplEx on various data sets.
CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation (2025.coling-main)

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Challenge: Large language models behave consistently with human goals, values and intentions, but are computationally expensive.
Approach: They propose a framework that enables weak-to-strong alignment transfer via concept transplantation.
Outcome: The proposed framework surpasses instruction-tuned models in terms of truthfulness.
Attention-based Conditioning Methods for External Knowledge Integration (P19-1)

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Challenge: Existing approaches for incorporating external knowledge into deep neural networks (RNNs) lexicon features are used to concatenate external information into the input or hidden network layers.
Approach: They propose a method for conditioning external knowledge into RNNs by concatenating a representation of the external information to the input or hidden network layers.
Outcome: The proposed approach improves performance on six benchmark datasets.

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