https://akjagadish.github.io
📅 May 16th
🔗 hcai-munich.com/PhDHCAI.pdf
This engagement highlights the real-world impact of science beyond academia and its role in shaping conversations on AI & mental health.
🔗 Link: www.nytimes.com/2025/03/17/science/chatgpt-digital-therapists-anxiety.html
🤖 Check out how we induced anxiety in Chat-GPT using traumatic narratives - then calmed it down with mindfulness & meditation: www.nature.com/articles/s41... 📝
🤖 Check out how we induced anxiety in Chat-GPT using traumatic narratives - then calmed it down with mindfulness & meditation: www.nature.com/articles/s41... 📝
We showed that one can extract an anxious response from an LLM by including traumatic narratives into the prompt, and interestingly, we can bring the response back to baseline by using mindfulness prompts 😌
It was a fun collaboration, thanks for bringing us on board!! :)
🤖 Check out how we induced anxiety in Chat-GPT using traumatic narratives - then calmed it down with mindfulness & meditation: www.nature.com/articles/s41... 📝
We showed that one can extract an anxious response from an LLM by including traumatic narratives into the prompt, and interestingly, we can bring the response back to baseline by using mindfulness prompts 😌
It was a fun collaboration, thanks for bringing us on board!! :)
We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM!
arxiv.org/abs/2502.00879
We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM!
arxiv.org/abs/2502.00879
In this work, we show how LLMs can be leveraged to generate cognitive models, given human behavioral data, in two paradigms: learning and decision-making.
Very excited to present this at RLDM!
The work is still at preliminary stages so please reach out if you have any 🙏
We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM!
arxiv.org/abs/2502.00879
In this work, we show how LLMs can be leveraged to generate cognitive models, given human behavioral data, in two paradigms: learning and decision-making.
Very excited to present this at RLDM!
The work is still at preliminary stages so please reach out if you have any 🙏
In this work, we show how LLMs can be leveraged to generate cognitive models, given human behavioral data, in two paradigms: learning and decision-making.
Very excited to present this at RLDM!
The work is still at preliminary stages so please reach out if you have any 🙏
We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM!
arxiv.org/abs/2502.00879
In this work, we show how LLMs can be leveraged to generate cognitive models, given human behavioral data, in two paradigms: learning and decision-making.
Very excited to present this at RLDM!
The work is still at preliminary stages so please reach out if you have any 🙏
More details: github.com/marcelbinz/P...
More details: github.com/marcelbinz/P...