4 papers
Adobe Summit Concierge Evaluation with Human in the Loop
Yiru Chen, Sally Fang, Sai Sree Harsha +6
Generative AI assistants offer significant potential to enhance productivity, streamline information access, and improve user experience in enterprise contexts. In this work, we pr…
MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering
Zhengyuan Zhu, Daniel Lee, Hong Zhang +4
Recent advancements in retrieval-augmented generation (RAG) have demonstrated impressive performance in the question-answering (QA) task. However, most previous works predominantly…
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…