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20172022
most citedLearning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

91 citations · 129 across the 4 of their papers we have counts for

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6 papers · 1 filter

cs.CL2022

Navigating Connected Memories with a Task-oriented Dialog System

Seungwhan Moon, Satwik Kottur, Alborz Geramifard +1

Recent years have seen an increasing trend in the volume of personal media captured by users, thanks to the advent of smartphones and smart glasses, resulting in large media collec…

cs.CL20221 cited

Tell Your Story: Task-Oriented Dialogs for Interactive Content Creation

Satwik Kottur, Seungwhan Moon, Aram H. Markosyan +3

People capture photos and videos to relive and share memories of personal significance. Recently, media montages (stories) have become a popular mode of sharing these memories due…

cs.CL2021

SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations

Satwik Kottur, Seungwhan Moon, Alborz Geramifard +1

Next generation task-oriented dialog systems need to understand conversational contexts with their perceived surroundings, to effectively help users in the real-world multimodal en…

cs.CL202037 cited

Overview of the Ninth Dialog System Technology Challenge: DSTC9

Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro +36

This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for four distinct tasks in…

cs.CL2020

Situated and Interactive Multimodal Conversations

Seungwhan Moon, Satwik Kottur, Paul A. Crook +9

Next generation virtual assistants are envisioned to handle multimodal inputs (e.g., vision, memories of previous interactions, in addition to the user's utterances), and perform m…

cs.CL2017

Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog

Satwik Kottur, José M. F. Moura, Stefan Lee +1

A number of recent works have proposed techniques for end-to-end learning of communication protocols among cooperative multi-agent populations, and have simultaneously found the em…