Papers by Nina Klimenkova
NEAT-IR: Neural Explainable Analysis Tool for Information Retrieval (2026.acl-srw)
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| Challenge: | Neural IR models achieve strong performance but remain difficult to interpret. |
| Approach: | They propose a black-box analysis framework that explains ColBERT’s ranking behavior using 26 classical IR features. |
| Outcome: | The proposed framework preserves ColBERT’s rankings nearly perfectly, yet only explain R2 0.28 of score variance. |