Dataset Groups Activity Stream Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering A dataset of 29 multi-party conversations between patients, their companions, and a social robot in a hospital. BibTex: @dataset{Angus_Addlesee_and_Weronika_Sieińska_and_Nancie_Gunson_and_Daniel_Hernandez_Garcia_and_Christian_Dondrup_and_Oliver_Lemon_2024, abstract = {A dataset of 29 multi-party conversations between patients, their companions, and a social robot in a hospital.}, author = {Angus Addlesee and Weronika Sieińska and Nancie Gunson and Daniel Hernandez Garcia and Christian Dondrup and Oliver Lemon}, doi = {10.57702/4mk93f83}, institution = {No Organization}, keyword = {'LLMs', 'Large Language Models', 'goal tracking', 'intent-slot recognition', 'multi-party conversations'}, month = {dec}, publisher = {TIB}, title = {Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering}, url = {https://service.tib.eu/ldmservice/dataset/multi-party-goal-tracking-with-llms--comparing-pre-training--fine-tuning--and-prompt-engineering}, year = {2024} }
