ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.12251
  4. Cited By
A scalable framework for learning from implicit user feedback to improve
  natural language understanding in large-scale conversational AI systems

A scalable framework for learning from implicit user feedback to improve natural language understanding in large-scale conversational AI systems

23 October 2020
Sunghyun Park
Han Li
Ameen Patel
Sidharth Mudgal
Sungjin Lee
Young-Bum Kim
Spyros Matsoukas
R. Sarikaya
ArXivPDFHTML

Papers citing "A scalable framework for learning from implicit user feedback to improve natural language understanding in large-scale conversational AI systems"

2 / 2 papers shown
Title
Constrained Policy Optimization for Controlled Self-Learning in
  Conversational AI Systems
Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems
Mohammad Kachuee
Sungjin Lee
68
4
0
17 Sep 2022
Scalable and Robust Self-Learning for Skill Routing in Large-Scale
  Conversational AI Systems
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems
Mohammad Kachuee
Jinseok Nam
Sarthak Ahuja
J. Won
Sungjin Lee
21
5
0
14 Apr 2022
1