Papers by Subhadip Nandi
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model (2024.emnlp-industry)
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| Challenge: | Existing approaches to named entity recognition are domain specific and require a domain specific architecture. |
| Approach: | They propose a retrieval augmented large language model for Named Entity Recognition . the model uses word-embedding over sentence-level embedding to fine tune . |
| Outcome: | The proposed model outperforms existing models on the CrossNER dataset. |
Scaling Intent Understanding: A Framework for Classification with Clarification using Lightweight LLMs (2026.eacl-industry)
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| Challenge: | Proprietary large-language models (LLMs) assign intents to user utterances without addressing ambiguity. |
| Approach: | They propose a domain-agnostic framework that equips open-source LLMs with the ability to perform intent classification and generate clarification questions in case of ambiguity. |
| Outcome: | The proposed framework performs intent classification and generates clarification questions in case of ambiguity. |