AI@AUEB talk: "Factuality Challenges in the Era of Large Language Models", by听Preslav Nakov
AI@AUEB Talk,听Friday 8 March, 17:15-18:30 (Greek time)
厂辫别补办别谤:听
罢颈迟濒别:听"Factuality Challenges in the Era of Large Language Models"
搁辞辞尘:听Room T202, AUEB Troias building (2 Troias Str., Troias wing, 2nd听蹿濒辞辞谤)
and virtually via MS Teams:
- Meeting ID: 390 339 720 702
- Passcode: bC8kho
Abstract:
We will discuss the risks, the challenges, and the opportunities that Large Language Models (LLMs) bring regarding factuality. We will then delve into our recent work on using LLMs to assist fact-checking (e.g., claim normalization, stance detection, question-guided fact-checking, program-guided reasoning, and synthetic data generation for fake news and propaganda identification), on checking and correcting the output of LLMs, on detecting machine-generated text (blackbox and whitebox), and on fighting the ongoing misinformation pollution with LLMs. Finally, we will discuss work on safeguarding LLMs, and the safety mechanisms we incorporated in Jais-chat, the world's best open Arabic-centric foundation and instruction-tuned LLM.
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