Uppsala NLP

@uppsalanlp.bsky.social

We are the #nlproc group at Uppsala University! We focus our research on computational modeling of natural language and practical applications involving natural language processing (NLP). https://www.uu.se/en/department/linguistics-and-p

🔍 Uppsala NLP Reading Group: Paper Spotlight! This week's pick: "In-Place Test-Time Training" by Feng. et al. 📖 LLMs can't adapt their weights at inference time. In-Place TTT fixes this by repurposing MLP blocks as "fast weights," enabling dynamic updates without retraining from scratch. Stay tuned!

openreview.net

🔍 Uppsala NLP Reading Group: Paper Spotlight! This week's pick: “Neural Morphological Tagging for Nguni Languages” by Marquard et al.. 📖 A study on neural morphological tagging for Nguni languages, showing strong results for task-specific neural models in low-resource settings. Let's discuss! 🚀

aclanthology.org

🔍 Uppsala NLP Reading Group: Paper Spotlight! This week's pick: “AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents” by Su et al. 🤖 How should LLMs balance being helpful and being truthful in multi-turn interactions? Stay tuned for our next pick! 🚀

aclanthology.org

🔍 Uppsala NLP Reading Group: Paper Spotlight! This week's pick is “A novel unsupervised contrastive learning framework for ancient Yi script character dataset construction” by Bi, Sun & Chen. 🧠 New unsupervised method for better ancient Yi script datasets. 📖 Stay tuned for our next pick! 🚀

nature.com

🔍 Uppsala NLP Reading Group: Paper Spotlight! This week's pick is "Do Prompt-Based Models Really Understand the Meaning of Their Prompts?" by Webson & Pavlick. 🧠 The authors ask whether modern LMs truly “understand” the instructions in prompts. 📖 Let’s discuss! Stay tuned for our next pick! 🚀

aclanthology.org

🔍 Uppsala NLP Reading Group: Paper Spotlight! This week's pick: "Modern Models, Medieval Texts: A POS Tagging Study of Old Occitan" by Schöffel et al. 🧠 Old Occitan exposes LLM struggles in POS tagging and points to tips for low-resource languages. 📖 Let’s discuss! Stay tuned for our next pick! 🚀

aclanthology.org

🔍 Uppsala NLP Reading Group: Paper Spotlight! This week’s pick: "Fantastically Ordered Prompts and Where to Find Them" by Lu et al. 🧠 Prompt order matters—a lot. This paper shows why and offers an unsupervised fix using entropy. 📖 Read it and let’s discuss! Stay tuned for our next pick! 🚀

aclanthology.org

🔍 Uppsala NLP Reading Group: Paper Spotlight! This week’s pick: "How Likely Do LLMs with CoT Mimic Human Reasoning?" by Bao et al. 🧠 CoT prompting can improve LLM reasoning—but does it mimic how humans think? 📖 Give it a read and share your thoughts! Stay tuned for our next pick! 🚀

aclanthology.org

🔍 Uppsala NLP Reading Group: Paper Spotlight! This week, we’re reading "Why do language models perform worse for morphologically complex languages?" by Arnett et al. 📖 Give it a read and share your thoughts! Stay tuned for our next pick! 🚀

aclanthology.org

🔍 Uppsala NLP Reading Group: Paper Spotlight! This week, we’re diving into "Leveraging Mandarin as a Pivot Language for Low-Resource Machine Translation between Cantonese and English" by Suen et al. 📖 Give it a read and share your thoughts! Stay tuned for our next pick! 🚀

aclanthology.org

🔍 Uppsala NLP Reading Group: Paper Spotlight! This week, we’re diving into "Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes" by Ubaid Azam et al. 📖 Give it a read and share your thoughts! What stood out to you? Let's discuss! Stay tuned for our next pick! 🚀

aclanthology.org