Scholar
Sahil Mishra
Google Scholar ID: 2JbF1q8AAAAJ
IIT Delhi
Natural Language Processing
Knowledge Graph
Taxonomy
Information Retrieval
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Citations & Impact
All-time
Citations
16
H-index
3
i10-index
0
Publications
6
Co-authors
8
list available
Contact
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Publications
3 items
TaxoBell: Gaussian Box Embeddings for Self-Supervised Taxonomy Expansion
2026
Cited
0
Rank, Chunk and Expand: Lineage-Oriented Reasoning for Taxonomy Expansion
2025
Cited
0
QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion
2025
Cited
0
Resume (English only)
Academic Achievements
Paper 'Rank, Chunk and Expand: Lineage-Oriented Reasoning for Taxonomy Expansion' accepted to ACL Findings 2025; presented orally in Vienna
Paper 'FLAME: Self-Supervised Low-Resource Taxonomy Expansion using Large Language Models' published in ACM TIST 2025
Preprint 'QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion' on arXiv (arXiv:2501.14011, 2025)
Co-authored paper 'Enhanced ETA Predictions with T-GCN on Optimized Road Segments' published at IEEE International Smart Cities Conference 2024
Early work 'Asymmetrically weighted cosine similarity measure for recommendation systems' presented at ICADCM 2022
Awarded Prime Minister's Research Fellowship (PMRF) in October 2023 for five years
Proposal 'Taxonomy Augmentation using LLMs' funded by Microsoft Academic Partnership Grants 2024
Invited to IBM Research’s Maitreyee 2025 (September 2025)
Invited to Microsoft Research India Academic Summit 2025 (June 2025)
Delivered invited workshop talk on RAG and industrial implementations at DAIICT Gandhinagar (March 2025)
Presented FLAME at PMRF Symposium 2025 hosted by IIT Hyderabad (March 2025)
Background
Third-year PMRF scholar in the Department of Electrical Engineering at IIT Delhi
Advised by Prof. Tanmoy Chakraborty
Research lies at the intersection of Large Language Models (LLMs) and knowledge graphs
Focuses on structuring domain knowledge via taxonomies and improving grounded reasoning in LLMs
Develops geometric and physics-inspired representations for taxonomy learning
Designs KG-aware reasoning and mechanistic interpretability methods to enhance knowledge grounding in LLMs
Co-authors
8 total
Tanmoy Chakraborty
Associate Professor, IIT Delhi, India
Co-author 2
Chatterjee Niladri
Professor, Statistics and Computer Science, IIT Delhi
Avi Patni
Student, Indian Institute of Technology Delhi
Kumar Arjun
Indian Institute of Technology Delhi
Co-author 6
Co-author 7
Co-author 8
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