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DATE
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TOPIC
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MATERIALS
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|
15/10
|
Solving Downstream Tasks with Transformers: - Document classification, - Sentiment Analysis, - PoS-tagging, - Named Entity Recognition, - Semantic Textual Similarity |
- Slides III.1 - NVIDIA online books |
|
16/10
|
Prompting Pre-Trained Language Models Lights and shadows of Large PTLM |
- Slides III.2 - Presentation by [Ivanova 2023] - Presentation by [Gonzalo 2023] |
|
DATE
|
TOPIC
|
MATERIALS
|
|
-
|
Network Embedding | - Slides |
|
-
|
ASR using LLMs | - [Kheddar et al. 2024] |
|
-
|
ChatGPT and Generative LLMs. |
- [Church 2024, Dale 2024] |
|
-
|
Retrieval Augmented Generation. |
- [Church et al. 2024] |
|
-
|
Topic modelling. |
- Slides |
|
-
|
DNNs and Cognition. |
- [Goldstein et al. 2024, Millière 2024], - [Manning et al. 2020, Yang, Piantadosi 2022]. |
REFERENCES