1 citations · 1 across the 1 of their papers we have counts for
5 papers
High-Quality Diversification for Task-Oriented Dialogue Systems
Zhiwen Tang, Hrishikesh Kulkarni, Grace Hui Yang
Many task-oriented dialogue systems use deep reinforcement learning (DRL) to learn policies that respond to the user appropriately and complete the tasks successfully. Training DRL…
Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval
Limin Chen, Zhiwen Tang, Grace Hui Yang
Interactive Information Retrieval (IIR) and Reinforcement Learning (RL) share many commonalities, including an agent who learns while interacts, a long-term and complex goal, and a…
Corpus-Level End-to-End Exploration for Interactive Systems
Zhiwen Tang, Grace Hui Yang
A core interest in building Artificial Intelligence (AI) agents is to let them interact with and assist humans. One example is Dynamic Search (DS), which models the process that a…
A Re-classification of Information Seeking Tasks and Their Computational Solutions
Zhiwen Tang, Grace Hui Yang
This article presents a re-classification of information seeking (IS) tasks, concepts, and algorithms. The proposed taxonomy provides new dimensions to look into information seekin…
DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
Zhiwen Tang, Grace Hui Yang
Most neural Information Retrieval (Neu-IR) models derive query-to-document ranking scores based on term-level matching. Inspired by TileBars, a classical term distribution visualiz…