3 citations · 6 across the 8 of their papers we have counts for
8 papers
Is Passive Expertise-Based Personalization Enough? A Case Study in AI-Assisted Test-Taking
Li Siyan, Jason Zhang, Akash Maharaj +2
Novice and expert users have different systematic preferences in task-oriented dialogues. However, whether catering to these preferences actually improves user experience and task…
Evaluation and Incident Prevention in an Enterprise AI Assistant
Akash V. Maharaj, David Arbour, Daniel Lee +6
Enterprise AI Assistants are increasingly deployed in domains where accuracy is paramount, making each erroneous output a potentially significant incident. This paper presents a co…
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…
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…
RETAIN: Interactive Tool for Regression Testing Guided LLM Migration
Tanay Dixit, Daniel Lee, Sally Fang +4
Large Language Models (LLMs) are increasingly integrated into diverse applications. The rapid evolution of LLMs presents opportunities for developers to enhance applications contin…
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…
Evaluation and Continual Improvement for an Enterprise AI Assistant
Akash V. Maharaj, Kun Qian, Uttaran Bhattacharya +8
The development of conversational AI assistants is an iterative process with multiple components. As such, the evaluation and continual improvement of these assistants is a complex…