Highlights
Top disruptiveness scores across every published week. Prefer the free explainer when one exists.
#1 · score 93 · 2026-W36
Prompt-Conditioned Channel Attention for Hierarchical Feature Modulation toward Anatomy-Agnostic Segmentation
Anatomically plausible segmentation remains challenging because of low contrast, ambiguous boundaries, and modality-specific artifacts. Interactive segmentatio…
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#2 · score 93 · 2026-W34
TS-Reasoner: Aligning Time Series Foundation Models with LLM Reasoning
Time series reasoning is crucial to decision-making in diverse domains, including finance, energy, and scientific discovery. While existing time series foundat…
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#3 · score 93 · 2026-W35
AI4AI-Bench: Benchmarking LLM Agents in Algorithmic Design for Recursive Self-Improvement
Recursive self-improvement (RSI) asks whether an AI system can improve the process that produces AI systems, so that the next system inherits the improvement.…
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#4 · score 89 · 2026-W34
MKG-CARE: Case-Aware Reasoning with Multimodal Knowledge Graphs for Explainable Medical Image Diagnosis
Medical image diagnosis has achieved significant progress with deep learning, yet existing methods often rely on isolated visual evidence and lack the ability…
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#5 · score 89 · 2026-W35
Logarithmic depth compression of Heisenberg Hamiltonian simulation by fan-out parallelization, with built-in error detection
Noisy intermediate-scale quantum computers are constrained by circuit depth, while product-formula simulation of spin systems leads to narrow and deep circuits…
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#6 · score 88 · 2026-W36
Swift-Image: Exploring the Performance Frontier of Compact Unified Image Generation Models
We present Swift-Image, a compact unified model for text-to-image generation, single-image editing, and multi-image editing. Our goal is to explore how far a r…
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#7 · score 87 · 2026-W36
Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning
Reliable surgical planning requires models to anticipate not only how instruments will move, but also how the operative visual state will evolve together with…
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#8 · score 87 · 2026-W30
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
We introduce DeepSeek-R1, a reasoning model trained with large-scale reinforcement learning that achieves strong multi-step reasoning without extensive human-a…
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#9 · score 87 · 2026-W34
PrefixAgent: An LLM-Powered Design Framework for Efficient Prefix Adder Optimization
Prefix adders are fundamental arithmetic circuits, but their design space grows exponentially with bit-width, posing significant optimization challenges. Previ…
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#10 · score 86 · 2026-W35
Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimation
Heterogeneous AI systems composed of multiple models, architectures, harnesses, or inference-time settings can improve quality and efficiency by routing querie…
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#11 · score 84 · 2026-W34
LabDex: A Hierarchical Benchmark for Dexterous Manipulation in Laboratories
Autonomous laboratories hold great promise for accelerating scientific discovery. To achieve this vision, robots are supposed to dexterously manipulate diverse…
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#12 · score 84 · 2026-W35
Inter-X++: A Comprehensive Benchmark for Multimodal Human-Human Interaction Analysis
The capability to perceive and synthesize human-human interactions is fundamental to developing intelligent digital human systems. However, existing datasets a…
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#13 · score 83 · 2026-W36
Hepatitis C Virus Genotyping with a Transformer Neural Network
This study aims to explore the applicability of Transformer-based models for genetic sequence classification by evaluating their performance in predicting hepa…
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#14 · score 82 · 2026-W30
DeepSeek-V3 Technical Report
DeepSeek-V3 is a strong Mixture-of-Experts language model with 671B total parameters and 37B activated per token. We describe Multi-head Latent Attention, an a…
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#15 · score 82 · 2026-W34
Architecture and Compilation Co-Design for High-Rate Quantum Product Codes on Neutral Atom Arrays
Achieving fault-tolerant quantum computing at a practical scale demands quantum error correction (QEC) codes with high encoding rates. Quantum low-density pari…
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#16 · score 81 · 2026-W36
Three-dimensional imaging of oxygen dopant distribution in Sr$_2$CuO$_{3+δ}$ by electron ptychography
Oxygen dopants play a critical role in tuning the properties of cuprate superconductors, yet it is challenging to visualize them at the atomic scale. Here, we…
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#17 · score 81 · 2026-W34
Write Once, Run Everywhere: The Axon DSL for Shape-Safe and Framework-Agnostic LLM Architectures
The entire ecosystem of open-source language models effectively relies on a single platform. What if this platform was forced to shut down tomorrow? Implementi…
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#18 · score 80 · 2026-W36
MorphoGP: A Nonparametric Framework for Predicting Equilibrium Beach Profiles Under Tidal Influence
The prediction of equilibrium beach profiles under tidal influence is of fundamental importance for sustainable coastal development, informing shoreline protec…
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#19 · score 80 · 2026-W30
High-Temperature Superconductivity in Nickelate Heterostructures at Ambient Pressure
We report signatures of superconductivity above 40 K in infinite-layer nickelate heterostructures fabricated at ambient pressure, including zero resistance and…
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#20 · score 80 · 2026-W35
Incorporating multiscale mechanics in lithium-ion battery models
Lithiation-induced swelling in lithium-ion batteries generates stresses not only within active particles, but also across the surrounding non-active matrix, el…
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#21 · score 79 · 2026-W30
Base-Editing Prime Variants for Multiplex Correction of Pathogenic Alleles
We introduce a family of prime-base hybrid editors that correct multiple pathogenic SNVs in parallel with reduced double-strand break toxicity, demonstrated in…
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#22 · score 79 · 2026-W34
HYDRA: A Heterogeneous Chiplet DSE Framework for Serving Dynamic Hybrid LLM Workloads
Hybrid Transformer-Mamba large language models (LLMs) enhance long-context efficiency, but their heterogeneous computation and communication patterns complicat…
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#23 · score 78 · 2026-W35
An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand Prediction
Travel behavior research increasingly combines digital data collection with predictive modeling, yet these stages are often developed and evaluated separately.…
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#24 · score 77 · 2026-W30
Sparse Autoencoders Reveal Interpretable Features in Frontier Multimodal Models
We scale sparse autoencoder interpretability techniques to frontier multimodal models, recovering monosemantic features that enable precise activation steering…
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