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Shows MAPPA Improves Multiagent Systems By +17.5pp On Unseen Competition Math Problems
53+ min ago (551+ words) The research team addressed key challenges in finetuning multiple agents simultaneously: credit assignment and sample efficiency of multiagent rollouts. By scaling the number of training signals with the number of actions, MAPPA dramatically improves sample efficiency compared to outcome-based methods....
Gemini Deep Think Reveals Eigenweights For Arithmetic Hirzebruch Proportionality In -Functions
1+ hour, 4+ min ago (639+ words) Researchers have determined a previously unknown formula for calculating key mathematical values, called eigenweights, essential for understanding complex geometric objects, by linking them to the established theory of symmetric groups using a novel application of artificial intelligence. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-13-27.jpg Scientists have…...
p-values are good actually — LessWrong
1+ hour, 7+ min ago (1790+ words) Published on February 4, 2026 10:04 PM GMTIt is fashionable, on LessWrong and also everywhere else, to advocate for a transition away from p-values. p-values have many known issues. p-hacking is possible and difficult to prevent, testing one hypothesis at a time cannot…...
Dino-Sae Shows 0.37 Fidelity Gains In High-Resolution Image Reconstruction
1+ hour, 26+ min ago (240+ words) This approach leverages the geometry of the latent space for more efficient and accurate generation. Experiments conducted on the ImageNet-1K dataset demonstrate that DINO-SAE achieves state-of-the-art reconstruction quality, reaching 0.37 rFID and 26.2 dB PSNR while maintaining strong semantic alignment with the…...
Dense Prediction And Depth Anything Shows 22% Accuracy In Chimpanzee Estimation
1+ hour, 35+ min ago (319+ words) However, the study unveils systematic biases in both models, particularly a tendency to overestimate detection distances and underestimate density and abundance in complex forest environments. Failures in animal detection across different ranges were identified as a primary limiting factor in…...
Shows Learnable Permutation Improves Transformer Model Sparsity Performance
1+ hour, 43+ min ago (383+ words) Central to this breakthrough is a learnable permutation cost matrix, which quantifies the impact of swapping input channels within a weight matrix. This cost matrix is then used within a differentiable bipartite matching solver, enabling the framework to determine the…...
Argonne helps nuclear industry embrace AI to speed up licensing and reduce delays
1+ hour, 49+ min ago (303+ words) Argonne helps nuclear industry embrace AI to speed up licensing and reduce delays Can artificial intelligence (AI) transform the nuclear energy industry? The U.S. Department of Energy's (DOE) Argonne National Laboratory is pursuing three innovative projects with the potential to have…...
Revolutionary AI Model Enhances Fluency for Native and Non-Native Arabic
1+ hour, 53+ min ago (889+ words) A new era in Arabic language processing is upon us, with groundbreaking advancements in the field of diacritization. Researchers from the University of Sharjah have unveiled a machine-learning system that promises to revolutionize how Arabic script is read and understood....
Tspo Shows 13.6% Gain, Resolving Double Homogenization In Policy Optimization
1+ hour, 57+ min ago (733+ words) Researchers have developed a new reinforcement learning technique, Turn-level Stage-aware Policy Optimisation, which improves the problem-solving ability of large language models by rewarding the specific steps where correct information first emerges during complex tasks, leading to performance increases of up…...
Chess bots do not have goals — LessWrong
2+ hour ago (743+ words) Published on February 4, 2026 9:11 PM GMTI see the opposite claim made in The Problem, and see it implied along with most mentions of AlphaGo. I also see some people who might agree with me, e.g. here, or here, but they don't get…...