Papers by Subhadip Nandi

2 papers
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.

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