UKP LabAt this year's #EACL meeting, two papers involving UKP Lab have won awards for Best Resource and Social Impact. Congratulations to everyone involved! 💐
Learn more about »M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection« by Yuxia Wang et al., which was awarded the #EACL2024 Resource Paper Award, in this 🧵:
UKP Lab (@[email protected])
Attached: 1 image Is this written by a human or a machine? Soon, we will ask this question daily 🤖 This #EACL2024, we introduce M4, a multi-generator, multi-domain, multilingual corpus for machine-generated text detection – learn more in this 🧵 (1/8) 📰 https://aclanthology.org/2024.eacl-long.83/ #NLProc
»Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting« by Tilman Beck, Hendrik Schuff, Anne @lauscher (Universität Hamburg) and Iryna Gurevych (@UKPLab) was awarded the #EACL2024 Social Impact Award!
More info on the paper in this 🧵: https://sigmoid.social/@UKPLab/112127298620459392
UKP Lab (@[email protected])
Attached: 1 image LLMs are increasingly prompted with different user profiles to solve subjective NLP tasks. What are the factors which determine what the model generates? Discover it in our #EACL2024 paper – learn more in this 🧵 (1/8). 📰 https://arxiv.org/abs/2309.07034 #NLProc #Prompting