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Found 6 papers, 2 papers with code
Beyond calories: evaluating how tailored communication reduces emotional load in diet-coaching
However, previous work on apps evaluation only focused on dietary outcomes, ignoring users’ emotional state despite its influence on eating habits.
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs
Natural Language Processing (NLP) research is increasingly focusing on the use of Large Language Models (LLMs), with some of the most popular ones being either fully or partially closed-source.
Ask the experts: sourcing high-quality datasets for nutritional counselling through Human-AI collaboration
We release HAI-coaching, the first expert-annotated nutrition counselling dataset containing ~2. 4K dietary struggles from crowd workers, and ~97K related supportive texts generated by ChatGPT.
Comparing informativeness of an NLG chatbot vs graphical app in diet-information domain
Visual representation of data like charts and tables can be challenging to understand for readers.
Anno-MI: A Dataset of Expert-Annotated Counselling Dialogues
Research on natural language processing for counselling dialogue analysis has seen substantial development in recent years, but access to this area remains extremely limited due to the lack of publicly available expert-annotated therapy conversations.
How are you? Introducing stress-based text tailoring
Can stress affect not only your life but also how you read and interpret a text?
