Papers with Condition-Aware Sentence Embeddings

1 papers
CASE – Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement (2026.eacl-long)

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Challenge: Recent approaches use semantic similarity to improve the quality of sentence embeddings, but it is difficult to measure the similarity between sentences.
Approach: They propose a condition-aware sentence embedding method that uses an LLM encoder to create an embeddable sentence under a given condition.
Outcome: The proposed method improves the performance of LLM-based embeddings and the isotropy of the embeddable space despite requiring a small number of dimensions.

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