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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

[2603.01471] Reconstructing Content via Collaborative Attention to Improve Multimodal Embedding Quality
Llms

[2603.01471] Reconstructing Content via Collaborative Attention to Improve Multimodal Embedding Quality

Abstract page for arXiv paper 2603.01471: Reconstructing Content via Collaborative Attention to Improve Multimodal Embedding Quality

arXiv - Machine Learning · 4 min ·
[2510.26144] The FM Agent
Llms

[2510.26144] The FM Agent

Abstract page for arXiv paper 2510.26144: The FM Agent

arXiv - AI · 4 min ·
[2603.01448] SEAnet: A Deep Learning Architecture for Data Series Similarity Search
Machine Learning

[2603.01448] SEAnet: A Deep Learning Architecture for Data Series Similarity Search

Abstract page for arXiv paper 2603.01448: SEAnet: A Deep Learning Architecture for Data Series Similarity Search

arXiv - Machine Learning · 3 min ·
[2510.16234] ScholarEval: Research Idea Evaluation Grounded in Literature
Nlp

[2510.16234] ScholarEval: Research Idea Evaluation Grounded in Literature

Abstract page for arXiv paper 2510.16234: ScholarEval: Research Idea Evaluation Grounded in Literature

arXiv - Machine Learning · 4 min ·
[2509.24156] Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning Models
Machine Learning

[2509.24156] Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning Models

Abstract page for arXiv paper 2509.24156: Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning Models

arXiv - AI · 4 min ·
[2509.23589] BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
Machine Learning

[2509.23589] BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving

Abstract page for arXiv paper 2509.23589: BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving

arXiv - Machine Learning · 4 min ·
[2509.23465] ViTSP: A Vision Language Models Guided Framework for Solving Large-Scale Traveling Salesman Problems
Llms

[2509.23465] ViTSP: A Vision Language Models Guided Framework for Solving Large-Scale Traveling Salesman Problems

Abstract page for arXiv paper 2509.23465: ViTSP: A Vision Language Models Guided Framework for Solving Large-Scale Traveling Salesman Pro...

arXiv - AI · 4 min ·
[2509.21028] Who Gets Cited Most? Benchmarking Long-Context Numerical Reasoning on Scientific Articles
Llms

[2509.21028] Who Gets Cited Most? Benchmarking Long-Context Numerical Reasoning on Scientific Articles

Abstract page for arXiv paper 2509.21028: Who Gets Cited Most? Benchmarking Long-Context Numerical Reasoning on Scientific Articles

arXiv - AI · 3 min ·
[2509.12282] AISSISTANT: Human-AI Collaborative Review and Perspective Research Workflows in Data Science
Llms

[2509.12282] AISSISTANT: Human-AI Collaborative Review and Perspective Research Workflows in Data Science

Abstract page for arXiv paper 2509.12282: AISSISTANT: Human-AI Collaborative Review and Perspective Research Workflows in Data Science

arXiv - Machine Learning · 4 min ·
[2506.06905] Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering
Machine Learning

[2506.06905] Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering

Abstract page for arXiv paper 2506.06905: Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering

arXiv - Machine Learning · 4 min ·
[2603.00945] Non-Rectangular Average-Reward Robust MDPs: Non-Rectangular Average-Reward Robust MDPs:Optimal Policies and Their Transient Values
Machine Learning

[2603.00945] Non-Rectangular Average-Reward Robust MDPs: Non-Rectangular Average-Reward Robust MDPs:Optimal Policies and Their Transient Values

Abstract page for arXiv paper 2603.00945: Non-Rectangular Average-Reward Robust MDPs: Non-Rectangular Average-Reward Robust MDPs:Optimal ...

arXiv - Machine Learning · 4 min ·
[2503.11832] Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning
Llms

[2503.11832] Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning

Abstract page for arXiv paper 2503.11832: Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated ...

arXiv - Machine Learning · 4 min ·
[2603.00846] Tiny-Critic RAG: Empowering Agentic Fallback with Parameter-Efficient Small Language Models
Llms

[2603.00846] Tiny-Critic RAG: Empowering Agentic Fallback with Parameter-Efficient Small Language Models

Abstract page for arXiv paper 2603.00846: Tiny-Critic RAG: Empowering Agentic Fallback with Parameter-Efficient Small Language Models

arXiv - Machine Learning · 3 min ·
[2412.03772] A Contemporary Overview: Trends and Applications of Large Language Models on Mobile Devices
Llms

[2412.03772] A Contemporary Overview: Trends and Applications of Large Language Models on Mobile Devices

Abstract page for arXiv paper 2412.03772: A Contemporary Overview: Trends and Applications of Large Language Models on Mobile Devices

arXiv - AI · 4 min ·
[2412.01176] Theoretical Foundations of Superhypergraph and Plithogenic Graph Neural Networks
Machine Learning

[2412.01176] Theoretical Foundations of Superhypergraph and Plithogenic Graph Neural Networks

Abstract page for arXiv paper 2412.01176: Theoretical Foundations of Superhypergraph and Plithogenic Graph Neural Networks

arXiv - Machine Learning · 4 min ·
[2408.05233] Electric Vehicle User Charging Behavior Analysis Integrating Psychological and Environmental Factors: A Statistical-Driven LLM based Agent Approach
Llms

[2408.05233] Electric Vehicle User Charging Behavior Analysis Integrating Psychological and Environmental Factors: A Statistical-Driven LLM based Agent Approach

Abstract page for arXiv paper 2408.05233: Electric Vehicle User Charging Behavior Analysis Integrating Psychological and Environmental Fa...

arXiv - AI · 4 min ·
[2603.00711] IU: Imperceptible Universal Backdoor Attack
Machine Learning

[2603.00711] IU: Imperceptible Universal Backdoor Attack

Abstract page for arXiv paper 2603.00711: IU: Imperceptible Universal Backdoor Attack

arXiv - Machine Learning · 3 min ·
[2603.02181] Leveraging Model Soups to Classify Intangible Cultural Heritage Images from the Mekong Delta
Machine Learning

[2603.02181] Leveraging Model Soups to Classify Intangible Cultural Heritage Images from the Mekong Delta

Abstract page for arXiv paper 2603.02181: Leveraging Model Soups to Classify Intangible Cultural Heritage Images from the Mekong Delta

arXiv - Machine Learning · 4 min ·
[2603.02175] Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance
Machine Learning

[2603.02175] Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance

Abstract page for arXiv paper 2603.02175: Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance

arXiv - AI · 3 min ·
[2603.02153] Scaling Retrieval Augmented Generation with RAG Fusion: Lessons from an Industry Deployment
Nlp

[2603.02153] Scaling Retrieval Augmented Generation with RAG Fusion: Lessons from an Industry Deployment

Abstract page for arXiv paper 2603.02153: Scaling Retrieval Augmented Generation with RAG Fusion: Lessons from an Industry Deployment

arXiv - AI · 4 min ·
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