Sahil Mishra
Scholar

Sahil Mishra

Google Scholar ID: 2JbF1q8AAAAJ
IIT Delhi
Natural Language ProcessingKnowledge GraphTaxonomyInformation Retrieval
Citations & Impact
All-time
Citations
16
 
H-index
3
 
i10-index
0
 
Publications
6
 
Co-authors
8
list available
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