There are many ways to design roundabouts. Can AI choose the best one? Probabilistic generative modeling for procedural roundabout generation for developing countries
Researchers: Low-Resource Languages Can Easily Jailbreak LLMs These results clearly demonstrate safety mechanisms do not properly generalize across languages
Decoding Speech from Brain Waves - A Breakthrough in Brain-Computer Interfaces Researchers from Meta have discovered how to turn brain waves into speech using noninvasive methods like EEG and MEG
Can Large Language Models Self-Correct Their Own Reasoning? Probably Not. A new paper takes a critical look at the promise and limits of self-correction
Enabling Language Models to Implicitly Learn Self-Improvement Rather than manually distilling criteria into prompts, implicit information in preference data can be leveraged.
LLMs can be extended to infinite sequence lengths without fine-tuning LLMs trained with a finite attention window can be extended to infinite sequence lengths without any fine-tuning.
Tool-Integrated Reasoning: A New Approach for Math-Savvy LLMs TORA combines both rationale-based and program-based reasoning to deliver results to math problems that were previously too difficult for LLMs to solve