Papers with similarity methods
IDEAlign: Comparing Ideas of Large Language Models to Domain Experts (2026.eacl-long)
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| Challenge: | Large language models are increasingly used to produce open-ended, interpretive annotations. |
| Approach: | They propose to use LLM annotations to evaluate content and assess expert similarity . they propose to benchmark different similarity methods against human ratings . |
| Outcome: | The proposed method performs best but falls short of expert alignment . it is useful as a triage filter rather than a substitute for human review. |
Similar Region Search using LLMs on Spatial Feature Space (2026.findings-eacl)
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| Challenge: | Existing similarity search methods fail to capture contextual richness of spatial data . existing methods fail in capturing regional characteristics, authors say . |
| Approach: | They propose a similar region search framework that ranks candidate regions based on their similarity to a query region using large language models. |
| Outcome: | The proposed similar region search framework outperforms state-of-the-art methods on real-world city datasets. |
Rethinking Word Similarity: Semantic Similarity through Classification Confusion (2025.naacl-long)
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| Challenge: | Word similarity measures cannot capture context-dependent, asymmetrical, polysemous nature of semantic similarity. |
| Approach: | They propose a new measure of similarity that reframes semantic similarity in terms of feature-based classification confusion. |
| Outcome: | The proposed model is comparable to cosine similarity in matching human similarity judgments across several datasets and can measure similarity using predetermined features of interest. |