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Llms

Is the Mirage Effect a bug, or is it Geometric Reconstruction in action? A framework for why VLMs perform better "hallucinating" than guessing, and what that may tell us about what's really inside these models

Last week, a team from Stanford and UCSF (Asadi, O'Sullivan, Fei-Fei Li, Euan Ashley et al.) dropped two companion papers. The first, MAR...

Reddit - Artificial Intelligence · 1 min ·
The Galaxy S26’s photo app can sloppify your memories | The Verge
Nlp

The Galaxy S26’s photo app can sloppify your memories | The Verge

Samsung’s S26 series offers some new AI photo editing capabilities to transform your photos. But where’s the line between acceptable edit...

The Verge - AI · 8 min ·
Llms

[D] The problem with comparing AI memory system benchmarks — different evaluation methods make scores meaningless

I've been reviewing how various AI memory systems evaluate their performance and noticed a fundamental issue with cross-system comparison...

Reddit - Machine Learning · 1 min ·

All Content

[2510.00236] Per-example gradients: a new frontier for understanding and improving optimizers
Machine Learning

[2510.00236] Per-example gradients: a new frontier for understanding and improving optimizers

Abstract page for arXiv paper 2510.00236: Per-example gradients: a new frontier for understanding and improving optimizers

arXiv - Machine Learning · 4 min ·
[2510.01478] Purrception: Variational Flow Matching for Vector-Quantized Image Generation
Generative Ai

[2510.01478] Purrception: Variational Flow Matching for Vector-Quantized Image Generation

Abstract page for arXiv paper 2510.01478: Purrception: Variational Flow Matching for Vector-Quantized Image Generation

arXiv - Machine Learning · 3 min ·
[2509.26346] EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
Llms

[2509.26346] EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing

Abstract page for arXiv paper 2509.26346: EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing

arXiv - AI · 4 min ·
[2509.26324] COMRES-VLM: Coordinated Multi-Robot Exploration and Search using Vision Language Models
Llms

[2509.26324] COMRES-VLM: Coordinated Multi-Robot Exploration and Search using Vision Language Models

Abstract page for arXiv paper 2509.26324: COMRES-VLM: Coordinated Multi-Robot Exploration and Search using Vision Language Models

arXiv - AI · 4 min ·
[2509.21659] RED-DiffEq: Regularization by denoising diffusion models for solving inverse PDE problems with application to full waveform inversion
Machine Learning

[2509.21659] RED-DiffEq: Regularization by denoising diffusion models for solving inverse PDE problems with application to full waveform inversion

Abstract page for arXiv paper 2509.21659: RED-DiffEq: Regularization by denoising diffusion models for solving inverse PDE problems with ...

arXiv - Machine Learning · 3 min ·
[2509.24245] Prompt and Parameter Co-Optimization for Large Language Models
Llms

[2509.24245] Prompt and Parameter Co-Optimization for Large Language Models

Abstract page for arXiv paper 2509.24245: Prompt and Parameter Co-Optimization for Large Language Models

arXiv - AI · 4 min ·
[2508.07697] Semantic-Enhanced Time-Series Forecasting via Large Language Models
Llms

[2508.07697] Semantic-Enhanced Time-Series Forecasting via Large Language Models

Abstract page for arXiv paper 2508.07697: Semantic-Enhanced Time-Series Forecasting via Large Language Models

arXiv - Machine Learning · 4 min ·
[2507.06567] SlimCaching: Edge Caching of Mixture-of-Experts for Distributed Inference
Llms

[2507.06567] SlimCaching: Edge Caching of Mixture-of-Experts for Distributed Inference

Abstract page for arXiv paper 2507.06567: SlimCaching: Edge Caching of Mixture-of-Experts for Distributed Inference

arXiv - Machine Learning · 4 min ·
[2508.16557] Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution
Machine Learning

[2508.16557] Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution

Abstract page for arXiv paper 2508.16557: Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution

arXiv - AI · 4 min ·
[2506.19558] Consistency-Driven Calibration and Matching for Few-Shot Class-Incremental Learning
Nlp

[2506.19558] Consistency-Driven Calibration and Matching for Few-Shot Class-Incremental Learning

Abstract page for arXiv paper 2506.19558: Consistency-Driven Calibration and Matching for Few-Shot Class-Incremental Learning

arXiv - Machine Learning · 4 min ·
[2508.10760] FROGENT: An End-to-End Full-process Drug Design Multi-Agent System
Nlp

[2508.10760] FROGENT: An End-to-End Full-process Drug Design Multi-Agent System

Abstract page for arXiv paper 2508.10760: FROGENT: An End-to-End Full-process Drug Design Multi-Agent System

arXiv - AI · 4 min ·
[2508.06526] PiKV: KV Cache Management System for Mixture of Experts
Llms

[2508.06526] PiKV: KV Cache Management System for Mixture of Experts

Abstract page for arXiv paper 2508.06526: PiKV: KV Cache Management System for Mixture of Experts

arXiv - AI · 4 min ·
[2508.04492] Learning Robust Intervention Representations with Delta Embeddings
Machine Learning

[2508.04492] Learning Robust Intervention Representations with Delta Embeddings

Abstract page for arXiv paper 2508.04492: Learning Robust Intervention Representations with Delta Embeddings

arXiv - AI · 4 min ·
[2506.09332] InstructPro: Natural Language Guided Ligand-Binding Protein Design
Machine Learning

[2506.09332] InstructPro: Natural Language Guided Ligand-Binding Protein Design

Abstract page for arXiv paper 2506.09332: InstructPro: Natural Language Guided Ligand-Binding Protein Design

arXiv - Machine Learning · 4 min ·
[2505.17939] Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Machine Learning

[2505.17939] Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding

Abstract page for arXiv paper 2505.17939: Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding

arXiv - Machine Learning · 4 min ·
[2506.10030] Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment
Nlp

[2506.10030] Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment

Abstract page for arXiv paper 2506.10030: Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment

arXiv - AI · 3 min ·
[2505.16017] GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
Machine Learning

[2505.16017] GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection

Abstract page for arXiv paper 2505.16017: GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection

arXiv - Machine Learning · 3 min ·
[2505.11076] Addition is almost all you need: Compressing large language models with double binary factorization
Llms

[2505.11076] Addition is almost all you need: Compressing large language models with double binary factorization

Abstract page for arXiv paper 2505.11076: Addition is almost all you need: Compressing large language models with double binary factoriza...

arXiv - Machine Learning · 4 min ·
[2504.02018] Geometric Reasoning in the Embedding Space
Machine Learning

[2504.02018] Geometric Reasoning in the Embedding Space

Abstract page for arXiv paper 2504.02018: Geometric Reasoning in the Embedding Space

arXiv - Machine Learning · 4 min ·
[2505.20274] Probabilistic Kernel Function for Fast Angle Testing
Nlp

[2505.20274] Probabilistic Kernel Function for Fast Angle Testing

Abstract page for arXiv paper 2505.20274: Probabilistic Kernel Function for Fast Angle Testing

arXiv - Machine Learning · 3 min ·
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