Generative AI Weekly Research Highlights | Mar'24 Part 3

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Summary of Research Papers

1. Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices [https://arxiv.org/pdf/2403.12503.pdf]

2. EXPLORING THE CAPABILITIES AND LIMITATIONS OF LARGE LANGUAGE MODELS IN THE ELECTRIC ENERGY SECTOR [https://arxiv.org/pdf/2403.09125.pdf]

3. Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models [https://arxiv.org/pdf/2311.08921.pdf]

4. The Ethics of ChatGPT in Medicine and Healthcare: A Systematic Review on Large Language Models (LLMs) [https://arxiv.org/pdf/2403.14473.pdf]

5. Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics [https://arxiv.org/pdf/2403.14077.pdf]

6. Dated Data: Tracing Knowledge Cutoffs in Large Language Models [https://arxiv.org/pdf/2403.12958.pdf]

7. Effectiveness Assessment of Recent Large Vision-Language Models [https://arxiv.org/pdf/2403.04306.pdf]

8. Radiology-GPT: A Large Language Model for Radiology [https://arxiv.org/pdf/2306.08666.pdf]

00:00 Intro

00:24 Securing LLM: Security and Privacy Concerns

00:47 LLM in Electric Energy Sector

01:08 Self-Improving Framework for Zero-Shot NER

01:27 Ethical LLM Use in Healthcare

01:43 Multimodal LLM for Deep Fake Detection

02:02 LLM Knowledge Cut-Offs Analysis

02:21 Evaluating Large Vision Language Models

02:40 Radiology GPT: Specialized LLM in Healthcare

03:04 End