Categories: AI/ML News

Popular vs. reliable sources—a blind spot in how LLMs assess information

Large language models (LLMs), the artificial intelligence (AI) systems underpinning ChatGPT and similar conversational platforms, are now used by many people worldwide to find and summarize information and generate different types of text. Despite their widespread use, these models still have notable limitations.

BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design

We propose a general-purpose approach for improving the ability of Large Language Models (LLMs) to intelligently and adaptively gather information from a user or other external source using the framework of sequential Bayesian experimental design (BED). This enables LLMs to act as effective multi-turn conversational agents and interactively interface with…

December 20, 2025

In "FAANG"

Why editing the knowledge of LLMs post-training can create messy ripple effects

After the advent of ChatGPT, the readily available model developed by Open AI, large language models (LLMs) have become increasingly widespread, with many online users now accessing them daily to quickly get answers to their queries, source information or produce customized texts. Despite their striking ability to rapidly define words…

August 3, 2024

In "AI/ML News"

AI’s new power of persuasion: Study shows LLMs can exploit personal information to change your mind

A new EPFL study has demonstrated the persuasive power of large language models, finding that participants debating GPT-4 with access to their personal information were far more likely to change their opinion compared to those who debated humans.

April 16, 2024

In "AI/ML News"

AI Generated Robotic Content