Christopher Schröder
AI & ML interests
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Short summary: We need your support for a web survey in which we investigate how recent advancements in natural language processing, particularly LLMs, have influenced the need for labeled data in supervised machine learning — with a focus on, but not limited to, active learning. See the original post for details.
➡️ Extended Deadline: January 26th, 2025.
Please consider participating or sharing our survey! (If you have any experience with supervised learning in natural language processing, you are eligible to participate in our survey.)
Survey: https://bildungsportal.sachsen.de/umfragen/limesurvey/index.php/538271
Just a quick note: I will not again enter any ideological debates here.
First off, I think this is a non-issue regardless of which license we use. This is first and foremost a scientific study, and the dataset we’re producing is more of a byproduct—its main purpose is to help other researchers verify our findings. It seems like there might be some misconceptions about this dataset: Think of it as a table of answer codes. It is not a text dataset and therefore not interesting or useful for LLM training (or similar).
Second, we made this decision because the survey doesn’t have any funding and relies on people generously sharing their opinions (without compensation). Given the growing skepticism around data collection, we wanted to be especially careful not to discourage users from participating. Our primary goal is to conduct a study with a population as diverse as possible, and we did not want to lose potential participants who might be less inclined to give away their data without compensation.
Survey: https://bildungsportal.sachsen.de/umfragen/limesurvey/index.php/538271
Estimated time required: 5–15 minutes
Deadline for participation: January 12, 2025
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❤️ We’re seeking responses from across the globe! If you know 1–3 people who might qualify for this survey—particularly those in different regions—please share it with them. We’d really appreciate it!
#NLProc #ActiveLearning #ML
Are you working on Natural Language Processing tasks and have faced the challenge of a lack of labeled data before? 𝗪𝗲 𝗮𝗿𝗲 𝗰𝘂𝗿𝗿𝗲𝗻𝘁𝗹𝘆 𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗶𝗻𝗴 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 to explore the strategies used to address this bottleneck, especially in the context of recent advancements, including but not limited to large language models.
The survey is non-commercial and conducted solely for academic research purposes. The results will contribute to an open-access publication that also benefits the community.
👉 With only 5–15 minutes of your time, you would greatly help to investigate which strategies are used by the #NLP community to overcome a lack of labeled data.
❤️How you can help even more: If you know others working on supervised learning and NLP, please share this survey with them—we’d really appreciate it!
Survey: https://bildungsportal.sachsen.de/umfragen/limesurvey/index.php/538271
Estimated time required: 5–15 minutes
Deadline for participation: January 12, 2025
#NLP #ML