Papers by Pavel Posokhov
Relevance Scores Calibration for Ranked List Truncation via TMP Adapter (2025.findings-acl)
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| Challenge: | ranked list truncation methods struggle with limited capacity, unstable training and inconsistency of selected thresholds. |
| Approach: | They propose a new approach that incorporates the Threshold Margin Penalty as an additive loss function to calibrate ranking model relevance scores for ranked list truncation. |
| Outcome: | The proposed method improves on retrieval datasets and offers theoretical and practical benefits. |