Towards facilitating empathic conversations in online mental health support: A reinforcement learning approach

A Sharma, IW Lin, AS Miner, DC Atkins… - Proceedings of the Web …, 2021 - dl.acm.org
Online peer-to-peer support platforms enable conversations between millions of people who
seek and provide mental health support. If successful, web-based mental health …

Cognitive reframing of negative thoughts through human-language model interaction

A Sharma, K Rushton, IW Lin, D Wadden… - arXiv preprint arXiv …, 2023 - arxiv.org
A proven therapeutic technique to overcome negative thoughts is to replace them with a
more hopeful" reframed thought." Although therapy can help people practice and learn this …

Reinforcement learning-based counter-misinformation response generation: a case study of COVID-19 vaccine misinformation

B He, M Ahamad, S Kumar - Proceedings of the ACM Web Conference …, 2023 - dl.acm.org
The spread of online misinformation threatens public health, democracy, and the broader
society. While professional fact-checkers form the first line of defense by fact-checking …

DynaEval: Unifying turn and dialogue level evaluation

C Zhang, Y Chen, LF D'Haro, Y Zhang… - arXiv preprint arXiv …, 2021 - arxiv.org
A dialogue is essentially a multi-turn interaction among interlocutors. Effective evaluation
metrics should reflect the dynamics of such interaction. Existing automatic metrics are …

CDL: Curriculum dual learning for emotion-controllable response generation

L Shen, Y Feng - arXiv preprint arXiv:2005.00329, 2020 - arxiv.org
Emotion-controllable response generation is an attractive and valuable task that aims to
make open-domain conversations more empathetic and engaging. Existing methods mainly …

Measuring conversational uptake: A case study on student-teacher interactions

D Demszky, J Liu, Z Mancenido, J Cohen, H Hill… - arXiv preprint arXiv …, 2021 - arxiv.org
In conversation, uptake happens when a speaker builds on the contribution of their
interlocutor by, for example, acknowledging, repeating or reformulating what they have said …

Towards unified dialogue system evaluation: A comprehensive analysis of current evaluation protocols

SE Finch, JD Choi - arXiv preprint arXiv:2006.06110, 2020 - arxiv.org
As conversational AI-based dialogue management has increasingly become a trending
topic, the need for a standardized and reliable evaluation procedure grows even more …

History for visual dialog: Do we really need it?

S Agarwal, T Bui, JY Lee, I Konstas… - arXiv preprint arXiv …, 2020 - arxiv.org
Visual Dialog involves" understanding" the dialog history (what has been discussed
previously) and the current question (what is asked), in addition to grounding information in …

Deep learning for dialogue systems: Chit-chat and beyond

R Yan, J Li, Z Yu - Foundations and Trends® in Information …, 2022 - nowpublishers.com
With the rapid progress of deep neural models and the explosion of available data
resources, dialogue systems that supports extensive topics and chit-chat conversations are …

Do you ever get off track in a conversation? the conversational system's anatomy and evaluation metrics

S Yadav, A Kaushik - Knowledge, 2022 - mdpi.com
Conversational systems are now applicable to almost every business domain. Evaluation is
an important step in the creation of dialog systems so that they may be readily tested and …