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GlamAI Research Unveils Insights into Stable AI Image Generation at ICML 2025
TLDR: GlamAI team member Alexander Lobashev co-authored a paper presented at ICML 2025, titled 'The Hessian Geometry of Latent Space in Generative Models.' This...
Research & Development
Fashion-AlterEval: Enhancing Conversational Recommendation System Assessment
TLDR: A new dataset, Fashion-AlterEval, and two meta-user simulators are introduced to improve the evaluation of Conversational Recommendation Systems (CRS). By incorporating human judgments...
Research & Development
GRAINS: Enhancing AI Model Behavior Through Targeted Gradient-Based Steering
TLDR: GRAINS is a novel inference-time steering method for Large Language Models (LLMs) and Vision-Language Models (VLMs). It uses contrastive, gradient-based attribution to identify...
Research & Development
Tensor Volumetric Operator (TenVOO): Enhancing 3D MRI Image Generation with Parameter-Efficient Fine-Tuning
TLDR: Researchers introduce TenVOO, a novel parameter-efficient fine-tuning (PEFT) method for 3D U-Net-based Denoising Diffusion Probabilistic Models (DDPMs) used in MRI image generation. By...
Research & Development
Diff-UMamba: Enhancing Tumor Segmentation with Noise Reduction in Limited Data Settings
TLDR: Diff-UMamba is a new deep learning model that combines UNet and Mamba architectures with a novel Noise Reduction Module (NRM) to improve tumor...
Research & Development
SCOPE: A New Framework for Unbiased LLM Evaluation
TLDR: SCOPE is a novel evaluation framework designed to counter selection bias in Large Language Models (LLMs) during multiple-choice tasks. It uses two modules:...