Papers by Abhijit Chakraborty

2 papers
Federated Retrieval-Augmented Generation: A Systematic Mapping Study (2025.findings-emnlp)

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Challenge: Federated Retrieval-Augmented Generation (Federated RAG) combines Federated Learning (FL) with Retrieleval-augment Generation (RAG)
Approach: They propose to map literature on Federated Retrieval-Augmented Generation (Federated RAG) this mapping study examines architectural patterns, temporal trends, and key challenges .
Outcome: The proposed framework improves the factual accuracy of language models by grounding outputs in external knowledge.
JobMatchAI - An Intelligent Job Matching Platform Using Knowledge Graphs, Semantic Search and Explainable AI (2026.acl-demo)

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Challenge: Recruiters and job seekers rely on search systems to navigate labor markets . many systems fail to handle skill synonyms and nonlinear careers .
Approach: They propose a production-ready system that integrates Transformer embeddings, skill knowledge graphs, and interpretable reranking.
Outcome: The proposed system optimizes utility across skill fit, experience, location, salary, and company preferences.

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