Papers with semantic similarity methods
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks (P18-2)
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| Challenge: | In this paper, we use Wikipedia articles to learn thematic similarity metric between sentences. |
| Approach: | They propose to leverage the partition of articles into sections to learn thematic similarity metric between sentences. |
| Outcome: | The proposed model outperforms state-of-the-art embeddings on the task of thematic clustering of sentences. |
EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning (2026.acl-long)
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| Challenge: | Existing semantic similarity methods struggle to accurately identify semantically equivalent steps in domain-specific contexts like mathematical reasoning. |
| Approach: | They propose a simple yet effective approach that identifies and prunes semantically equivalent actions during LLM reasoning search. |
| Outcome: | The proposed approach reduces token consumption while improving reasoning efficiency and accuracy on Qwen2.5-Math-7B-Instruct on GSM8K. |