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20212026
most citedA Computational Framework for Behavioral Assessment of LLM Therapists

29 citations · 80 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024★ 29 cited

A Computational Framework for Behavioral Assessment of LLM Therapists

Yu Ying Chiu, Ashish Sharma, Inna Wanyin Lin +1

The emergence of large language models (LLMs) like ChatGPT has increased interest in their use as therapists to address mental health challenges and the widespread lack of access t…

cs.CL2023★ 6 cited

Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction

Ashish Sharma, Kevin Rushton, Inna Wanyin Lin +5

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 Cog…

cs.CL2022★ 6 cited

Gendered Mental Health Stigma in Masked Language Models

Inna Wanyin Lin, Lucille Njoo, Anjalie Field +4

Mental health stigma prevents many individuals from receiving the appropriate care, and social psychology studies have shown that mental health tends to be overlooked in men. In th…

cs.CL2022★ 23 cited

Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support

Ashish Sharma, Inna W. Lin, Adam S. Miner +2

Advances in artificial intelligence (AI) are enabling systems that augment and collaborate with humans to perform simple, mechanistic tasks like scheduling meetings and grammar-che…

cs.CL2021★ 1 cited

Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach

Ashish Sharma, Inna W. Lin, Adam S. Miner +2

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 conversatio…