Yaswanth Narsupalli
Scholar

Yaswanth Narsupalli

Google Scholar ID: 0xLN_4gAAAAJ
B.Tech + M.Tech in AI and ML, IIT Kharagpur
Natural Language ProcessingLarge Language ModelsFoundational Models
Citations & Impact
All-time
Citations
82
 
H-index
3
 
i10-index
1
 
Publications
8
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • First-author paper 'Review-Feedback-Reason (ReFeR)' under review at TMLR 2025; accepted to 2 NeurIPS 2024 workshops
  • First-author paper 'DepNeCTI' accepted at EMNLP 2023 (Findings)
  • Co-authored 'II-Bench' accepted as poster at NeurIPS Workshop 2024
  • Co-authored 'VideoScore' accepted at EMNLP 2024
  • Second-author paper 'YinYang-Align' under review
  • Co-authored 'DPO Kernels' under review
  • Served as Student Paper Reviewer for EMNLP 2023
  • Microsoft Research grant doubled to $40,000 in Dec 2023
  • Awarded Best Term Papers in 'NLP', 'Graph ML', and 'AI Design Lab' in Apr 2023
Research Experience
  • FinAgent: Financial Trading Agent (Apr–Jun 2024, University of Waterloo TIGER Lab with Prof. Wenhu Chen) – Developed a multimodal agent for financial trading and portfolio optimization; built a dataset of financial news and stock prices for 100 companies
  • Comparing GANs and diffusion models for image generation (Feb–Apr 2024, IIT Kharagpur)
  • Event Extraction using LLMs (Oct 2023–Jan 2024, UT Dallas) – Led research on document- and sentence-level event extraction using GPT-3.5, GPT-4, and open-source LLMs
  • Citation Integrity (Jun–Sep 2023, UIUC) – Built a new dataset to classify citations (e.g., 'irrelevant citation') and extract supporting evidence
  • Machine Translation using LLMs (May–Sep 2023, UC Berkeley) – Enhanced 500K MT lines via synthetic LLM data; improved BLEU scores by 10% using NLLB model with advanced post-processing
  • Nested Compound Parsing and Type Identification (Dec 2022 onward)