4 papers
IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents
Michael Galarnyk, Siddharth Lohani, Vidhyakshaya Kannan +8
An Initial Public Offering (IPO) filing is a document released when a private firm goes public, allowing individual (retail) investors to purchase its shares. These filings describ…
KG-MuLQA: A Framework for KG-based Multi-Level QA Extraction and Long-Context LLM Evaluation
Nikita Tatarinov, Vidhyakshaya Kannan, Haricharana Srinivasa +7
We introduce KG-MuLQA (Knowledge-Graph-based Multi-Level Question-Answer Extraction): a framework that (1) extracts QA pairs at multiple complexity levels (2) along three key dimen…
T-VEC: A Telecom-Specific Vectorization Model with Enhanced Semantic Understanding via Deep Triplet Loss Fine-Tuning
Vignesh Ethiraj, Ashwath David, Sidhanth Menon +2
The specialized vocabulary and nuanced concepts of the telecommunications industry pose persistent challenges for standard Natural Language Processing (NLP) models. Generic embeddi…
ConfReady: A RAG based Assistant and Dataset for Conference Checklist Responses
Michael Galarnyk, Rutwik Routu, Vidhyakshaya Kannan +4
The ARR Responsible NLP Research checklist website states that the "checklist is designed to encourage best practices for responsible research, addressing issues of research ethics…