Papers by Vilhjálmur Vilhjálmsson
Semantic Outlier Removal with Embedding Models and LLMs (2025.acl-industry)
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Eren Akbiyik, João F. M. De Almeida, Rik Melis, Ritu Sriram, Viviana Petrescu, Vilhjálmur Vilhjálmsson
| Challenge: | Modern text processing pipelines require robust methods to remove extraneous content while preserving a document’s core message. |
| Approach: | They propose a method that leverages multilingual sentence embeddings and approximate nearest-neighbor search to identify and excise unwanted text segments. |
| Outcome: | Experiments on HTML datasets show that SORE outperforms structural methods and yields high precision in diverse scenarios. |