4 papers · 1 filter
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…
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…
ReviewSense: Transforming Customer Review Dynamics into Actionable Business Insights
Siddhartha Krothapalli, Kartikey Singh Bhandari, Tridib Kumar Das +3
As customer feedback becomes increasingly central to strategic growth, the ability to derive actionable insights from unstructured reviews is essential. While traditional AI-driven…
Large Language Models as Pokémon Battle Agents: Strategic Play and Content Generation
Daksh Jain, Aarya Jain, Ashutosh Desai +4
Strategic decision-making in Pokémon battles presents a unique testbed for evaluating large language models. Pokémon battles demand reasoning about type matchups, statistical tra…