Papers by Shivam Chourasia
Structure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contexts (2026.acl-industry)
Copied to clipboard
| Challenge: | Variations in naming conventions, inconsistent transliteration across scripts, and frequent data entry errors make it difficult to unify user identities, an essential requirement for Know Your Customer (KYC) compliance. |
| Approach: | They propose a framework that fine-tunes an LLM through a two-phase curriculum to match person names across heterogeneous records. |
| Outcome: | The proposed framework outperforms GPT-4o and single-stage fine-tuning baselines in the Indian identity data. |