Africa
Text to Blind Motion
These behaviors may appear less predictable to motion models embedded in technologies such as autonomous vehicles.
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery Alex Rutherford Michael Beukman Timon Willi Bruno Lacerda Nick Hawes Jakob Foerster University of Oxford
Put differently, current methods fail to predict intuitive measures of "learnability."
Embedding-Aligned Language Models Guy Tennenholtz
In this paper, we present a novel framework which accomplishes this by exploiting latent embedding spaces to define an objective function for an LLM in an iterative RL-driven process. As an example, consider the challenge of assisting content creators in generating valuable content within a recommender ecosystem (e.g., Y ouTube, Reddit, Spotify) [Boutilier et al., 2024].
Stress-T esting Long-Context Language Models with Lifelong ICL and Task Haystack
Task Haystack draws inspiration from the widely-adopted "needle-in-a-haystack"
How Diffusion Models Learn to Factorize and Compose
Large-scale text-to-image generative models can produce photo-realistic synthetic images that combine elements in a novel fashion (compositional generalization).
'A famous victory' - South Africa stun India after De Klerk's heroics
This content is not available in your location. Nadine de Klerk hits 84 off 54 balls as South Africa recover from 81-5 to chase down their target of 252 with seven balls to spare, securing a famous three wicket win against hosts India at the ICC Women's Cricket World Cup. 'I was asking ChatGPT is this real?' - Fraser & Tulloch on making black history. Video, 00:04:27 'I was asking ChatGPT is this real?' - Fraser & Tulloch on making black history'We've got mountains to do' - Cavallo on homophobia in football. Video, 00:01:58 'We've got mountains to do' - Cavallo on homophobia in football We have already lost too many games - Mahomes.