RANLP 2025 TUTORIALS (6-7 September) Call for Participation Website - https://ranlp.org/ranlp2025/index.php/tutorials/
RANLP 2025 belongs to a sequence of events with similar name and continues the tradition of successful training events that were held in Bulgaria since 1989. RANLP 2025 plans 4 half-day tutorials, each with duration of 185 minutes, distributed as follows: 45 min presentation + 20 min break + 45 min presentation + 30 min coffee break + 45 min presentation. Tutorial Presenters * Burcu Can Buglalilar (University of Sterling, UK) * Salima Lamsiyah (University of Luxembourg, Luxembourg) * Tharindu Ranasinghe and Damith Dola Mullage Premasiri (Lancaster University, UK) * Anna Rogers and Max Müller-Eberstein (IT University of Copenhagen, Denmark) Programme 6th September 2025, 9am Tharindu Ranasinghe and Damith Premasiri: NLP in the LLM era This tutorial examines the transformation of Legal NLP in the era of large language models, beginning with key principles of task formulation and data preparation. We will discuss retrieval and judgment prediction in detail, exploring their methodologies, challenges, and applications in legal contexts. We conclude with a forward-looking discussion on the future of Legal AI and the ethical considerations surrounding its applications in the practice of law. 6th September 2025, 2pm Burcu Can Buglalilar: From Large to Small: Building Affordable Language Models with Limited Resources This tutorial aims to question the limitations and harms of Large Language Models, followed by a comprehensive review of Small Language Models, covering prominent examples, their key techniques, and their capabilities. It will also give an overview of even smaller ‘baby’ language models. Finally, the tutorial will conclude by presenting some recent studies in which we developed baby language models using a very small amount of data. 7th September 2025, 9am Anna Rogers and Max Müller-Eberstein: Studying Generalization in the Age of Contamination The tutorial will discuss the challenges of doing NLP research in the age of LLMs, when we can no longer be sure that the test data was not observed in training. We will cover the main approaches to studying generalization in various settings, and present a new framework for working with controlled test-train splits across linguistically annotated data at scale. 7th September 2025, 2pm Salima Lamsiyah: AI Content in NLP: Trends, Detection, and Applications This tutorial provides a comprehensive overview of AI-generated content in Natural Language Processing (NLP). It covers recent trends in text generation, methods for detecting AI-generated text, and practical applications of such content. The content includes an exploration of state-of-the-art models and techniques for text generation, approaches to identifying machine-generated text, a review of key benchmarks and datasets, and a discussion of open research challenges. We are looking forward to your participation! The organisers of RANLP 2025
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