1 citations · 1 across the 6 of their papers we have counts for
7 papers
Curate Before You Connect: Identity and Ontology Tagging in a Production Knowledge Graph
Vaibhav Dangaich, Kevin Lewis, Kundeshwar Pundalik
Extraction produces candidate entities and relationships; writing them into a graph is where identity is decided, and identity decisions are destructive in a way extraction errors…
An Ontology-Guided, Deduplication-Aware Extraction Layer for Knowledge Graph Construction from Heterogeneous Documents
Vaibhav Dangaich, Kevin Lewis, Kundeshwar Pundalik
Large language models extract entities and relationships from unstructured documents fluently but inconsistently: type vocabularies fracture across documents, the same person surfa…
AyurParam: A State-of-the-Art Bilingual Language Model for Ayurveda
Sravan Gorugantu, Mohd Nauman, Sravan Gvm +8
Current large language models excel at broad, general-purpose tasks, but consistently underperform when exposed to highly specialized domains that require deep cultural, linguistic…
BhashaBench V1: A Comprehensive Benchmark for the Quadrant of Indic Domains
Vijay Devane, Mohd Nauman, Bhargav Patel +14
The rapid advancement of large language models(LLMs) has intensified the need for domain and culture specific evaluation. Existing benchmarks are largely Anglocentric and domain-ag…
The Art of Breaking Words: Rethinking Multilingual Tokenizer Design
Aamod Thakur, Ajay Nagpal, Atharva Savarkar +7
While model architecture and training objectives are well-studied, tokenization, particularly in multilingual contexts, remains a relatively neglected aspect of Large Language Mode…
Intent Aware Context Retrieval for Multi-Turn Agricultural Question Answering
Abhay Vijayvargia, Ajay Nagpal, Kundeshwar Pundalik +5
Indian farmers often lack timely, accessible, and language-friendly agricultural advice, especially in rural areas with low literacy. To address this gap in accessibility, this pap…
PARAM-1 BharatGen 2.9B Model
Kundeshwar Pundalik, Piyush Sawarkar, Nihar Sahoo +19
Large Language Models (LLMs) have emerged as powerful general-purpose reasoning systems, yet their development remains dominated by English-centric data, architectures, and optimiz…