Generative AI Weekly Research Highlights | Nov'23 Part 4

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Here is the list of all 8 research papers along with their links:

1. *Oasis: Data Curation and Assessment System for Pretraining of Large Language Models*

Link: https://arxiv.org/pdf/2311.12537.pdf

2. *Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models*

Link: https://arxiv.org/pdf/2311.06233.pdf

3. *Prompting Frameworks for Large Language Models: A Survey*

Link: https://arxiv.org/pdf/2311.12785.pdf

4. *Multimodal Large Language Models: A Survey*

Link: https://arxiv.org/pdf/2311.13165.pdf

5. *Can Large Language Models Understand Content and Propagation for Misinformation Detection: An Empirical Study*

Link: https://arxiv.org/pdf/2311.12699.pdf

6. *Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey*

Link: https://arxiv.org/pdf/2311.12351.pdf

7. *Exploring Prompting Large Language Models as Explainable Metrics*

Link: https://arxiv.org/pdf/2311.11552.pdf

8. *Finding AI-Generated Faces in the Wild*

Link: https://arxiv.org/pdf/2311.08577.pdf

00:00 Intro

00:23 Oasis: Enhancing Data Quality for LLMs

01:01 Detecting Data Contamination in LLMs

01:30 Prompting Tools in LLMs

02:00 Multimodal Language Models

02:27 LLMs in Misinformation Detection

02:55 Transforming LLMs for Long Content

03:20 Zero-Shot Prompt Strategies for Evaluation

03:42 Detecting AI-Generated Faces

04:14 End