449 citations · 553 across the 19 of their papers we have counts for
20 papers
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
Mohammad Kachuee, Sarthak Ahuja, Vaibhav Kumar +2
Using tools by Large Language Models (LLMs) is a promising avenue to extend their reach beyond language or conversational settings. The number of tools can scale to thousands as th…
Data Augmentation for Improving Tail-traffic Robustness in Skill-routing for Dialogue Systems
Ting-Wei Wu, Fatemeh Sheikholeslami, Mohammad Kachuee +2
Large-scale conversational systems typically rely on a skill-routing component to route a user request to an appropriate skill and interpretation to serve the request. In such syst…
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems
Sarthak Ahuja, Mohammad Kachuee, Fateme Sheikholeslami +2
Off-Policy reinforcement learning has been a driving force for the state-of-the-art conversational AIs leading to more natural humanagent interactions and improving the user satisf…
Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems
Mohammad Kachuee, Sungjin Lee
Recently, self-learning methods based on user satisfaction metrics and contextual bandits have shown promising results to enable consistent improvements in conversational AI system…
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems
Mohammad Kachuee, Jinseok Nam, Sarthak Ahuja +2
Skill routing is an important component in large-scale conversational systems. In contrast to traditional rule-based skill routing, state-of-the-art systems use a model-based appro…
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data
Zixuan Ke, Mohammad Kachuee, Sungjin Lee
In many real-world machine learning applications, samples belong to a set of domains e.g., for product reviews each review belongs to a product category. In this paper, we study mu…