14 citations · 43 across the 8 of their papers we have counts for
9 papers
SEINE: SEgment-based Indexing for NEural information retrieval
Sibo Dong, Justin Goldstein, Grace Hui Yang
Many early neural Information Retrieval (NeurIR) methods are re-rankers that rely on a traditional first-stage retriever due to expensive query time computations. Recently, represe…
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…
Information Retrieval and Its Sister Disciplines
Grace Hui Yang
This article presents a summary graph to show the relationships between Information Retrieval (IR) and other related disciplines. The figure tells the key differences between them…
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…
Modeling Long-Range Context for Concurrent Dialogue Acts Recognition
Yue Yu, Siyao Peng, Grace Hui Yang
In dialogues, an utterance is a chain of consecutive sentences produced by one speaker which ranges from a short sentence to a thousand-word post. When studying dialogues at the ut…
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…