9 papers
Beyond Sentiment: A Multi-Agent Pipeline for Actionable Business Advice from Reviews
Kartikey Singh Bhandari, Tanish Jain, Archit Agrawal +3
Customer reviews contain valuable signals about service quality, but converting large-scale review corpora into actionable business recommendations remains difficult. Standard sent…
A Hybrid Supervised-LLM Pipeline for Actionable Suggestion Mining in Unstructured Customer Reviews
Aakash Trivedi, Aniket Upadhyay, Pratik Narang +2
Extracting actionable suggestions from customer reviews is essential for operational decision-making, yet these directives are often embedded within mixed-intent, unstructured text…
Actionable Advice from Reviews via Mixture of LoRA Experts: A Two-LLM Pipeline for Issue Extraction and Business Recommendations
Kartikey Singh Bhandari, Manav Ganesh, Yashwant Viswanathan +3
Customer reviews contain detailed, domain specific signals about service failures and user expectations, but converting this unstructured feedback into actionable business decision…
Understanding Virality: A Rubric based Vision-Language Model Framework for Short-Form Edutainment Evaluation
Arnav Gupta, Gurekas Singh Sahney, Hardik Rathi +4
Evaluating short-form video content requires moving beyond surface-level quality metrics toward human-aligned, multimodal reasoning. While existing frameworks like VideoScore-2 ass…
Domain-Partitioned Hybrid RAG for Legal Reasoning: Toward Modular and Explainable Legal AI for India
Rakshita Goel, S Pranav Kumar, Anmol Agrawal +3
Legal research in India involves navigating long and heterogeneous documents spanning statutes, constitutional provisions, penal codes, and judicial precedents, where purely keywor…
Investigating Spatial Attention Bias in Vision-Language Models
Aryan Chaudhary, Sanchit Goyal, Pratik Narang +1
Vision-Language Models have demonstrated remarkable capabilities in understanding visual content, yet systematic biases in their spatial processing remain largely unexplored. This…