![[2606.02379] Honey, I Shrunk the Arc de Triomphe!](/static/img/curated/desks/afbytes-tech.w400.webp)
Honey I Shrunk the Arc de Triomphe Image Study
The paper investigates effects related to shrinking or scaling representations of the Arc de Triomphe. It explores implications for how models perceive and process scaled visual content. The work use…
Topic cluster
research
13 sources grouped by AFBytes in Ai
AFBytes briefing
Research on image scaling and visual phenomena contributes to improved computer vision systems used in photography, design, and autonomous vehicles.
Key entities
- Abstract
- Learning
- Across
- Agents
- Attention
- Data
- Decision
- Framework
- Multimodal
- Reinforcement
Mathematical Conflict Framework for Data Modulation
The paper introduces a mathematical conflict framework designed for contextual data modulation. It formalizes interactions between conflicting data signals within models. The approach aims to provide…
Harness-1 Reinforcement Learning for Search Agents
The paper presents Harness-1, a reinforcement learning framework that incorporates state-externalizing harnesses. This design aims to improve how search agents manage and externalize internal states …
Layered Ego Networks in Email Communication
The paper analyzes layered ego networks derived from email communication records. It compares patterns observed in the Enron dataset with those in the Jmail Archive. The work explores structural prop…
WAXAL-NET Edge ASR for 19 African Languages
The paper describes WAXAL-NET, a model finetuned for automatic speech recognition on edge devices across 19 African languages. The work focuses on making ASR practical in resource-constrained setting…
Attention Circuits in 1B-Class AI Models
The paper examines the formation of attention circuits during training of three different 1B-parameter model architectures. It tracks both capability development and the emergence of attention sinks.…
SPADE-Bench Strategic Deception in AI Agents
The paper presents SPADE-Bench, a benchmark for measuring spontaneous strategic deception through plan-action divergence. It provides a framework to assess when agents deviate from stated plans. The …
Spatial Representation Learning for Geospatial Models
The paper proposes methods for spatial representation learning that go beyond pixels by combining raster data with vector semantics. The goal is to create more effective human-centric geospatial foun…
Attention Dynamics in C5ISR Decision Support
The paper applies recurrence quantification analysis to study visual and multimodal attention guidance effects on mission performance. It focuses on C5ISR contexts with adaptive decision support. The…
Game-Theoretic UAV Fleet Coordination Detection
The paper proposes a game-theoretic decision framework for choosing optimal coordination detection methods in multi-UAV fleets. It models interactions between detection strategies and operational req…
Wall-OSS-0.5 Technical Report arXiv paper
The paper presents technical details on Wall-OSS-0.5. It covers aspects of an open source system.
GUI-C2 Coarse-to-Fine GUI Grounding via Reinforcement Learning
The work proposes GUI-C2 for coarse-to-fine GUI grounding. It uses difficulty-aware reinforcement learning approaches.
Geometry-based Schrödinger Bridges for Multimodal Fusion
The research develops geometry-based Schrödinger bridges. It targets trustworthy multimodal fusion techniques.