Papers by Shashank Mujumdar

2 papers
Mind the Query: A Benchmark Dataset towards Text2Cypher Task (2025.emnlp-industry)

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Challenge: Graph databases store data in nodes and relationships, enabling more natural modeling of complex, interconnected data.
Approach: They present a high-quality dataset for the Text2Cypher task . it is enabling the translation of natural language (NL) questions into executable Cypher queries over graph databases.
Outcome: The proposed dataset includes 27,529 NL queries and corresponding Cyphers spanning across 11 real-world graph datasets.
Group, Embed and Reason: A Hybrid LLM and Embedding Framework for Semantic Attribute Alignment (2025.emnlp-industry)

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Challenge: a framework to align attributes that refer to the same concept but differ across schemas is challenging in schema only settings where no instance data is available due to ambiguous names, inconsistent descriptions, and domain-specific terminologies.
Approach: They propose a framework that combines contextual reasoning and embedding-based similarity to address token limitations and hallucinations.
Outcome: The proposed framework scales to large schemas and shows strong performance on healthcare schemas.

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