3 citations · 6 across the 9 of their papers we have counts for
4 papers · 1 filter
Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants
Md Mehrab Tanjim, Xiang Chen, Victor S. Bursztyn +8
Multi-turn conversations with an Enterprise AI Assistant can be challenging due to conversational dependencies in questions, leading to ambiguities and errors. To address this, we…
Federated Retrieval Augmented Generation for Multi-Product Question Answering
Parshin Shojaee, Sai Sree Harsha, Dan Luo +3
Recent advancements in Large Language Models and Retrieval-Augmented Generation have boosted interest in domain-specific question-answering for enterprise products. However, AI Ass…
Enhancing Discoverability in Enterprise Conversational Systems with Proactive Question Suggestions
Xiaobin Shen, Daniel Lee, Sumit Ranjan +3
Enterprise conversational AI systems are becoming increasingly popular to assist users in completing daily tasks such as those in marketing and customer management. However, new us…
HierTOD: A Task-Oriented Dialogue System Driven by Hierarchical Goals
Lingbo Mo, Shun Jiang, Akash Maharaj +2
Task-Oriented Dialogue (TOD) systems assist users in completing tasks through natural language interactions, often relying on a single-layered workflow structure for slot-filling i…