Tootfinder

Lecanemab: Qualitätsinstitut nicht überzeugt von neuem Alzheimer-Medikament
Ein neues Medikament für Menschen, die an Alzheimer-Demenz erkrankt sind, ist seit 1. September in Deutschland verfügbar. Doch der Nutzen ist unklar.

Democracy, innit?
Wonder how the corporate Democrats feel about having Trump’s endorsement. https://dmv.community/@AliceMarshall/115492411417922038

🎶 Focused sound energy holds promise for treating cancer, Alzheimer’s and other diseases
https://theconversation.com/focused-sound-energy-holds-promise-for-treating-cancer-alzheimers-and-other-diseases-262622

Focused sound energy holds promise for treating cancer, Alzheimer’s and other diseases
Ultrasound is perhaps best known as an imaging technique to monitor pregnancy or disease. When these sound waves are highly concentrated, however, they can be used to treat a host of diseases.

Align Your Query: Representation Alignment for Multimodality Medical Object Detection
Ara Seo, Bryan Sangwoo Kim, Hyungjin Chung, Jong Chul Ye
https://arxiv.org/abs/2510.02789 h…

Align Your Query: Representation Alignment for Multimodality Medical Object Detection
Medical object detection suffers when a single detector is trained on mixed medical modalities (e.g., CXR, CT, MRI) due to heterogeneous statistics and disjoint representation spaces. To address this challenge, we turn to representation alignment, an approach that has proven effective for bringing features from different sources into a shared space. Specifically, we target the representations of DETR-style object queries and propose a simple, detector-agnostic framework to align them with modal…

Superposition disentanglement of neural representations reveals hidden alignment
Andr\'e Longon, David Klindt, Meenakshi Khosla
https://arxiv.org/abs/2510.03186 https://

Superposition disentanglement of neural representations reveals hidden alignment
The superposition hypothesis states that a single neuron within a population may participate in the representation of multiple features in order for the population to represent more features than the number of neurons. In neuroscience and AI, representational alignment metrics measure the extent to which different deep neural networks (DNNs) or brains represent similar information. In this work, we explore a critical question: \textit{does superposition interact with alignment metrics in any un…

Reward Model Routing in Alignment
Xinle Wu, Yao Lu
https://arxiv.org/abs/2510.02850 https://arxiv.org/pdf/2510.02850

Reward Model Routing in Alignment
Reinforcement learning from human or AI feedback (RLHF / RLAIF) has become the standard paradigm for aligning large language models (LLMs). However, most pipelines rely on a single reward model (RM), limiting alignment quality and risking overfitting. Recent work explores RM routing--dynamically selecting an RM from a candidate pool to exploit complementary strengths while maintaining $O(1)$ RM calls--but existing methods suffer from cold-start and insufficient exploration. We propose BayesianR…

XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments
Tien Phat Nguyen, Vu Minh Ngo, Tung Nguyen, Linh Van Ngo, Duc Anh Nguyen, Sang Dinh, Trung Le
https://arxiv.org/abs/2510.02788

XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments
Cross-lingual topic modeling aims to uncover shared semantic themes across languages. Several methods have been proposed to address this problem, leveraging both traditional and neural approaches. While previous methods have achieved some improvements in topic diversity, they often struggle to ensure high topic coherence and consistent alignment across languages. We propose XTRA (Cross-Lingual Topic Modeling with Topic and Representation Alignments), a novel framework that unifies Bag-of-Words …

SIMSplat: Predictive Driving Scene Editing with Language-aligned 4D Gaussian Splatting
Sung-Yeon Park, Adam Lee, Juanwu Lu, Can Cui, Luyang Jiang, Rohit Gupta, Kyungtae Han, Ahmadreza Moradipari, Ziran Wang
https://arxiv.org/abs/2510.02469

SIMSplat: Predictive Driving Scene Editing with Language-aligned 4D Gaussian Splatting
Driving scene manipulation with sensor data is emerging as a promising alternative to traditional virtual driving simulators. However, existing frameworks struggle to generate realistic scenarios efficiently due to limited editing capabilities. To address these challenges, we present SIMSplat, a predictive driving scene editor with language-aligned Gaussian splatting. As a language-controlled editor, SIMSplat enables intuitive manipulation using natural language prompts. By aligning language wi…

Freitag: Innovationszentrum aus VW-Werk, US-Visaprüfungen auf Internet-Zensur
VW-Dresden wird Tech-Campus USA gegen Online-Moderatoren Toyotas E-Sportwagen Alzheimer-Medikament umstritten TikTok-RZ in Brasilien Ärger mit Inkasso