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SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents

ODSC - Open Data Science

Moreover, combining expert agents is an immensely easier task to learn by neural networks than end-to-end QA. In particular, MetaQA only requires 16% of the data needed by multi-dataset models. Iryna is co-director of the NLP program within ELLIS, a European network of excellence in machine learning. Euro) in 2021.

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Meet the Fellow: Shauli Ravfogel

NYU Center for Data Science

He brings a wealth of experience in natural language processing, representation learning, and the analysis and interpretability of neural models. Ravfogel holds a BSc in both Computer Science and Chemistry from Bar-Ilan University, as well as an MSc in Computer Science from the same institution.

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CDS Faculty Member Tim G.

NYU Center for Data Science

The paper will be presented at the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL2025). The funding will support both computational resources for working with frontier AI models and personnel to assist with Rudners research.

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NLP Landscape: Switzerland

NLP People

Several labs have natural language processing and understanding as research areas such as Artificial Intelligence Laboratory , lead Boi Faltings , the Data Science Lab lead by Robert West and the Machine Learning and Optimization Laboratory , lea d by Martin Jaggi.

NLP 52
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2022: We reviewed this year’s AI breakthroughs

Applied Data Science

Dall-e , and pre-2022 tools in general, attributed their success either to the use of the Transformer or Generative Adversarial Networks. The former is a powerful architecture for artificial neural networks that was originally introduced for language tasks (you’ve probably heard of GPT-3 ?) Who should I follow?

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NLP Landscape: Germany (Industry & Meetups)

NLP People

The company is always on the hunt for people with NLP, machine learning, data engineering, and data science background and offers a handful of open job and internship positions in the related sub-fields across Amazon’s offices in Germany. Open job positions can be found here.

NLP 52
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Explainable AI and ChatGPT Detection

Mlearning.ai

Like issue 1, this could be solved over time through more tailored data sets and training. Classifiers based on neural networks are known to be poorly calibrated outside of their training data [3]. 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics. [7]