Papers by Harsh Pal
Uncovering Currency Bias and Syntax Gap in Text Embedding Models (2026.findings-acl)
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| Challenge: | Text-embedding models often inherit societal biases, yet the influence of socio-economic markers remains unexplored. |
| Approach: | They propose to identify Currency Bias as a systemic representational limitation in financial AI . they analyze currency embeddings to identify currency identifiers and associative sensitivity . |
| Outcome: | The proposed model lacks associative sensitivity to economic hierarchies, the authors show . they show that current embedding practices pose significant risks for the fairness and reliability of financial NLP applications. |