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AssigneeTata Consultancy Services Limited
InventorsAniketh GARIKAPARTHI, Manasi Samarth PATWARDHAN, Lovekesh VIG
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The embodiments of the present disclosure herein address unresolved problems of existing idea generation approaches depart from the realistic setting, where the key challenge lies in prioritizing retrieval of the literature most conducive to generating novel research ideas, provided only the research problem and its motivation as the query. Embodiments herein provide a method and system for methodology inspiration retrieval for scientific research problems. The system leverages a rich citation network within a research domain to derive a directed Methodology Adjacency Graph (MAG). The directed MAG captures methodological lineage, with the corresponding citation contexts from the citing papers. Further, a dataset is curated to fine-tune retrievers and evaluate MIR task by extending multi-cite dataset. To fine-tune a more effective retrieval model for MIR, a triplet loss is formulated by synthesizing samples from the directed MAG. Further, a reasoning-intensive process essential for MIR is simulated by extending a predefined LLM-based re-ranker.
A processor-implemented method comprising:
A system comprising:
One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:
Dependencies are inferred from the claim text.