arXiv
Can You Check That? The Checkability Boundary for Local LLM Network Automation
Sending every network-automation input to a third-party frontier LLM exports sensitive artifacts such as production c...
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arXiv
A Flow Matching Framework for Neural Representational Dissimilarity
Neural representational dissimilarity quantifies differences between neural response distributions, and is essential ...
arXiv
Multi-agent Scaling Across Disjunctive and Compensatory Tasks
Multi-agent LLM systems are often expected to improve as team size increases, yet the scaling behavior may depend on ...
arXiv
DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese Education
AI tutoring could markedly improve learning outcomes for students in developing regions such as Vietnam, yet the two ...
arXiv
Adapting for AI: How elementary teachers adjust their practices for an AI-integrated curriculum
Conversational AI tools are entering children's everyday experiences, and schools are interested in adopting them. Ho...
arXiv
OC-GS: Gaussian Splatting for Irregular Turntable Capture
Uneven rotation and dropped frames make equal-angle assumptions unreliable for turntable reconstruction. We present O...
arXiv
Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer
We investigate whether natural-language documentation helps coding agents resolve software issues, and we build the t...
arXiv
Statistical attribute alignment for black-box generative AI via output post-processing
Generative AI systems are increasingly used, but aligning their outputs with user requirements poses a continuing cha...
arXiv
Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
Reasoning models often generate very long reasoning traces, making inference computationally expensive. Existing appr...
HuggingFace
Morphometric Imitation: From Morphology and Contact Aware Hand Retargeting to Sim-to-Real Visuomotor Policy
Human hand-object interactions (HOIs) provide a rich source of demonstrations for dexterous manipulation, but learnin...
HuggingFace
FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders
Representation autoencoders (RAEs) reuse features from a pretrained visual encoder as reconstruction and diffusion la...
HuggingFace
Game Arena: Strategic LLM Evaluation in Competitive Environments
We introduce Kaggle Game Arena, an open and ever-expanding platform to evaluate large language models (LLMs) through ...