arXiv
Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices
Real-time EEG classification on edge devices is bottlenecked by the floating-point arithmetic of conventional neural ...
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arXiv
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization
Coding agents are increasingly used to accelerate code generation in many downstream tasks, such as fixing bugs, buil...
arXiv
OR Else: A Differentiable Trust Region for Policy Optimization
PPO and the GRPO baseline studied here use clipped surrogate objectives whose favorable-direction saturation introduc...
arXiv
A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing
Digital Twins rely on surrogate models to mirror physical systems in real time, yet these models can degrade as opera...
arXiv
Learning Adaptive Safety Margins for Visual Navigation
Robots in cluttered indoor spaces often fail not because they cannot generate collision-free paths, but because a fix...
arXiv
GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis
Foundation models have emerged as a driving force in computational pathology, with the potential to transform cancer ...
arXiv
Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes
To test how correct logical judgments respond to learned context, we prepend a soft prefix to an exactly labeled syll...
arXiv
Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs
Modern vision-language models (VLMs) have significantly improved image generation and editing capabilities, making pi...
arXiv
Automated Discovery Has No Universally Superior Harness
Autonomous discovery systems such as OpenEvolve and TTT-Discover are often used as general-purpose harnesses. However...
HuggingFace
Group Entropy-Controlled Policy Optimization
Entropy control has become an effective tool in reinforcement learning (RL) of large language models (LLMs), helping ...
HuggingFace
RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model
We present RynnBrain 1.1, a family of embodied foundation models spanning 2B, 9B, and 122B-A10B scales. Trained with ...
HuggingFace
OpenLongTail: Generative Scaling of Long-Tail Driving Data
Scaling robust driving policies is fundamentally bottlenecked by the scarcity of edge cases in curated datasets. Whil...