4 papers
PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction
Anubhav Shrimal, Aryan Jain, Soumyajit Chowdhury +1
Structured information extraction from unstructured text is critical for emerging Software 3.0 systems where LLM agents autonomously interact with APIs and tools. Recent approaches…
MARCO: Multi-Agent Real-time Chat Orchestration
Anubhav Shrimal, Stanley Kanagaraj, Kriti Biswas +4
Large language model advancements have enabled the development of multi-agent frameworks to tackle complex, real-world problems such as to automate tasks that require interactions…
MARS: Multilingual Aspect-centric Review Summarisation
Sandeep Sricharan Mukku, Abinesh Kanagarajan, Chetan Aggarwal +1
Summarizing customer feedback to provide actionable insights for products/services at scale is an important problem for businesses across industries. Lately, the review volumes are…
InsightNet: Structured Insight Mining from Customer Feedback
Sandeep Sricharan Mukku, Manan Soni, Jitenkumar Rana +4
We propose InsightNet, a novel approach for the automated extraction of structured insights from customer reviews. Our end-to-end machine learning framework is designed to overcome…