37 citations · 83 across the 6 of their papers we have counts for
8 papers
Trust and Task Completion in the World of Consumer AI Agents
Jeroen Olieslagers, Eduardo Pujol, Gal Zahavi +2
Action agents do things for people. They send email, spend money, and call businesses while the user is busy with something else, so a mistake can turn into an action before anyone…
Harm Amplification in Text-to-Image Models
Susan Hao, Renee Shelby, Yuchi Liu +6
Text-to-image (T2I) models have emerged as a significant advancement in generative AI; however, there exist safety concerns regarding their potential to produce harmful image outpu…
Safety and Fairness for Content Moderation in Generative Models
Susan Hao, Piyush Kumar, Sarah Laszlo +3
With significant advances in generative AI, new technologies are rapidly being deployed with generative components. Generative models are typically trained on large datasets, resul…
Unsupervised Topic Segmentation of Meetings with BERT Embeddings
Alessandro Solbiati, Kevin Heffernan, Georgios Damaskinos +3
Topic segmentation of meetings is the task of dividing multi-person meeting transcripts into topic blocks. Supervised approaches to the problem have proven intractable due to the d…
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…
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…
SIMMC: Situated Interactive Multi-Modal Conversational Data Collection And Evaluation Platform
Paul A. Crook, Shivani Poddar, Ankita De +4
As digital virtual assistants become ubiquitous, it becomes increasingly important to understand the situated behaviour of users as they interact with these assistants. To this end…
Attentive Interaction Model: Modeling Changes in View in Argumentation
Yohan Jo, Shivani Poddar, Byungsoo Jeon +3
We present a neural architecture for modeling argumentative dialogue that explicitly models the interplay between an Opinion Holder's (OH's) reasoning and a challenger's argument,…