Papers by Ashwath D
T-VEC: A Telecom-Specific Vectorization Model with Enhanced Semantic Understanding via Deep Triplet Loss Fine-Tuning (2025.emnlp-industry)
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| Challenge: | Generic embedding models struggle to represent telecom-specific semantics . specialized terminology and ambiguous terms often limit their utility in retrieval and downstream tasks. |
| Approach: | They propose a domain-adapted embedding model fine-tuned from a gte-Qwen2-1.5B-instruct backbone. |
| Outcome: | The proposed model outperforms MPNet, BGE, Jina and E5 on a custom benchmark . it is open source and has a triplet loss objective . |