Papers by Elias Schuhmacher
Information Representation Fairness in Long-Document Embeddings: The Peculiar Interaction of Positional and Language Bias (2026.findings-acl)
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| Challenge: | Existing studies show that embedding models exhibit systematic positional and language biases when documents are longer and consist of multiple segments. |
| Approach: | They propose a permutation-based evaluation framework to quantify embedding biases . they propose an inference-time attention calibration method that redistributes attention more evenly across document positions . |
| Outcome: | The proposed framework reduces the positional and language biases in embedding models . the proposed framework improves the discoverability of later segments . |