436 citations · 2.1k across the 92 of their papers we have counts for
5 papers · 1 filter
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering
Ameya Godbole, Dilip Kavarthapu, Rajarshi Das +8
Multi-hop question answering (QA) requires an information retrieval (IR) system that can find \emph{multiple} supporting evidence needed to answer the question, making the retrieva…
Developing Creative AI to Generate Sculptural Objects
Songwei Ge, Austin Dill, Eunsu Kang +4
We explore the intersection of human and machine creativity by generating sculptural objects through machine learning. This research raises questions about both the technical detai…
The Myths of Our Time: Fake News
Vít Růžička, Eunsu Kang, David Gordon +3
While the purpose of most fake news is misinformation and political propaganda, our team sees it as a new type of myth that is created by people in the age of internet identities a…
Randomized Exploration in Generalized Linear Bandits
Branislav Kveton, Manzil Zaheer, Csaba Szepesvari +3
We study two randomized algorithms for generalized linear bandits. The first, GLM-TSL, samples a generalized linear model (GLM) from the Laplace approximation to the posterior dist…
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer +1
This paper introduces a new framework for open-domain question answering in which the retriever and the reader iteratively interact with each other. The framework is agnostic to th…