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Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
Machine learning (ML) is pervasively deployed.
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Current methods for identifying adversarial prompts aimed at "attacking" LLMs and eliciting undesirable outputs are limited by several factors.
ByteDance to curb AI video app after Disney legal threat
Chinese technology giant ByteDance has pledged to curb a controversial artificial intelligence (AI) video-making tool, following threats of legal action from Disney and complaints from other entertainment giants. In the last few days, videos made using the latest version of the app Seedance have proliferated online. Many have been lauded for their realism. Disney's lawyers accused ByteDance of committing a virtual smash-and-grab of their intellectual property, including superheroes from Marvel, Star Wars and various cartoons. On Monday ByteDance told the BBC that the company respects intellectual property rights and we have heard the concerns regarding Seedance 2.0.
Revisiting Ensembling in One-Shot Federated Learning
The overall learning procedure is illustrated in Figure 1, alongside iterative and one-shot FL. 1.1 Our Contributions
Jungo Kasai Keisuke Sakaguchi Y oichi T akahashi Ronan Le Bras Akari Asai
Why was the dataset created? Has the dataset been used already? QA dataset has already been used. QA establishes a framework to benchmark question answering at the present time: answers (e.g., the number of Shohei Ohtani's home runs) change in real time. This could also include the system's interactions with its information retrieval module (for How many instances are there?