14 citations · 21 across the 5 of their papers we have counts for
5 papers
Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent
Zhentao Xu, Shangjin Zhang, Emir Poyraz +7
Large Language Model (LLM) agents are increasingly used in real-world products, where personalized and context-aware user interactions are essential. A central enabler of such capa…
High Quality Related Search Query Suggestions using Deep Reinforcement Learning
Praveen Kumar Bodigutla
"High Quality Related Search Query Suggestions" task aims at recommending search queries which are real, accurate, diverse, relevant and engaging. Obtaining large amounts of query-…
Joint Turn and Dialogue level User Satisfaction Estimation on Multi-Domain Conversations
Praveen Kumar Bodigutla, Aditya Tiwari, Josep Valls Vargas +2
Dialogue level quality estimation is vital for optimizing data driven dialogue management. Current automated methods to estimate turn and dialogue level user satisfaction employ ha…
Multi-domain Conversation Quality Evaluation via User Satisfaction Estimation
Praveen Kumar Bodigutla, Lazaros Polymenakos, Spyros Matsoukas
An automated metric to evaluate dialogue quality is vital for optimizing data driven dialogue management. The common approach of relying on explicit user feedback during a conversa…
Domain-Independent turn-level Dialogue Quality Evaluation via User Satisfaction Estimation
Praveen Kumar Bodigutla, Longshaokan Wang, Kate Ridgeway +4
An automated metric to evaluate dialogue quality is vital for optimizing data driven dialogue management. The common approach of relying on explicit user feedback during a conversa…