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Jesus Castagnetto 🇵🇪About the importance of just one word in biasing text classification"A new way to test how well <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> systems classify text"<a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://mastodon.social/tags/TextClassification" class="mention hashtag" rel="nofollow noopener" target="_blank">#TextClassification</a><a href="https://news.mit.edu/2025/new-way-test-how-well-ai-systems-classify-text-0813" rel="nofollow noopener" translate="no" target="_blank">https://news.mit.edu/2025/new-way-test-how-well-ai-systems-classify-text-0813</a>

CoListyGenerative AI Using SAS: Explore Machine Learning Techniques | CoListy Learn the basics of Generative AI with SAS, including SMOTE, GANs, and LLMs to generate synthetic data and improve AI accuracy. <a href="https://mastodon.social/tags/freeonlinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#freeonlinelearning</a> <a href="https://mastodon.social/tags/colisty" class="mention hashtag" rel="nofollow noopener" target="_blank">#colisty</a> <a href="https://mastodon.social/tags/courselist" class="mention hashtag" rel="nofollow noopener" target="_blank">#courselist</a> <a href="https://mastodon.social/tags/generativeai" class="mention hashtag" rel="nofollow noopener" target="_blank">#generativeai</a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#datascience</a> <a href="https://mastodon.social/tags/sasviya" class="mention hashtag" rel="nofollow noopener" target="_blank">#sasviya</a> <a href="https://mastodon.social/tags/gans" class="mention hashtag" rel="nofollow noopener" target="_blank">#gans</a> <a href="https://mastodon.social/tags/smote" class="mention hashtag" rel="nofollow noopener" target="_blank">#smote</a> <a href="https://mastodon.social/tags/largelanguagemodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#largelanguagemodels</a> <a href="https://mastodon.social/tags/bert" class="mention hashtag" rel="nofollow noopener" target="_blank">#bert</a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://mastodon.social/tags/syntheticdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#syntheticdata</a> <a href="https://mastodon.social/tags/textclassification" class="mention hashtag" rel="nofollow noopener" target="_blank">#textclassification</a> <a href="https://mastodon.social/tags/rag" class="mention hashtag" rel="nofollow noopener" target="_blank">#rag</a> <a href="https://mastodon.social/tags/sasprogramming" class="mention hashtag" rel="nofollow noopener" target="_blank">#sasprogramming</a>.<a href="https://colisty.netlify.app/courses/generative-ai-using-sas-explore-machine-learning-techniques/" rel="nofollow noopener" translate="no" target="_blank">https://colisty.netlify.app/courses/generative-ai-using-sas-explore-machine-learning-techniques/</a>

Axel PichlerJust compared Claude-Sonnet-3.5 with OpenAI's o1 on a CLS task – classifying text inputs from US short stories with regard to focalization. Turns out, Sonnet doesn't recognize zero focalization and achieved an F1-score of 0.47, while o1 performed better with 0.69. Not bad - but problematic, as the hidden tokens of the optimizer (?) from o1 would be of particular interest.<a href="https://fedihum.org/tags/CLS" class="mention hashtag" rel="nofollow noopener" target="_blank">#CLS</a> <a href="https://fedihum.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://fedihum.org/tags/ClaudeSonnet" class="mention hashtag" rel="nofollow noopener" target="_blank">#ClaudeSonnet</a> <a href="https://fedihum.org/tags/OpenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenAI</a>'s_o1 <a href="https://fedihum.org/tags/TextClassification" class="mention hashtag" rel="nofollow noopener" target="_blank">#TextClassification</a> <a href="https://fedihum.org/tags/Focalization" class="mention hashtag" rel="nofollow noopener" target="_blank">#Focalization</a>

MT Group at FBKOur pick of the week by <a href="https://sigmoid.social/@apierg" class="u-url mention">@apierg</a>: Tokpo et al., 2023 "How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification"<a href="https://arxiv.org/abs/2301.12855v1" target="_blank" rel="nofollow noopener" translate="no">https://arxiv.org/abs/2301.12855v1</a><a href="https://sigmoid.social/tags/NLProc" class="mention hashtag" rel="tag">#NLProc</a> <a href="https://sigmoid.social/tags/Gender" class="mention hashtag" rel="tag">#Gender</a> <a href="https://sigmoid.social/tags/GenderBias" class="mention hashtag" rel="tag">#GenderBias</a> <a href="https://sigmoid.social/tags/Mitigation" class="mention hashtag" rel="tag">#Mitigation</a> <a href="https://sigmoid.social/tags/TextClassification" class="mention hashtag" rel="tag">#TextClassification</a>

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