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CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification
Rubric-Guided Self-Distillation: Post-Training Without Verifier Overhead
FACTR 2: Teaching Cheap Robots to Feel Without Force Sensors
From AGI to ASI: Pathways, Bottlenecks, and the Limits of Machine Intelligence
MiniMax Sparse Attention: Orders-of-Magnitude Speedups for Ultra-Long Context LLMs
MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation
Decentralized Multi-Agent Systems with Shared Context
Seeing the Unseen: How Optical Flaws Reveal Real Transients in Century-Old Sky Photos
D-VAL: Proving Planning Domains Do the Same Thing
Can AI Refute Economic Theory? Testing Models on Hidden Errors
How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope
Pretraining Recurrent Networks without Recurrence
A Mathematical Theory of Memory: Unifying Deep Learning Through Compression
When Equilibria Converge: The Mathematics Behind DSGE Stability
PDDLStream: When Planners Meet Samplers
Proving the Hidden Identity in Jamming Criticality
Do Transformers Really Need Three Projections?
Chasing Lightning: Unmasking a Space-Based GNSS Jammer
Bidirectional Reasoning Flow
Flying-Point-Free Depth: A Mixture-Density Solution to Ambiguity
KVarN: Taming Quantization Errors in Long-Context Reasoning
Self-Distilled Policy Gradient: Dense Supervision for Smarter Language Models
GPIC: The First Giant Permissive Image Corpus for Visual AI
Breaking Bitcoin's Curve: Quantum Circuits for Elliptic Curve Cryptanalysis
Self-Improving Language Models with Bidirectional Evolutionary Search
Mellum 2: A 12B MoE Model That Codes Like a Frontier System on a Single GPU
Qwen-VLA: One Model to Control Them All
Learn from Your Own Latents: Why Predicting Internal Representations Beats Predicting Tokens
Training Ecosystems: When Predator-Prey Models Learn to Count
SIA: Self-Improving AI with Harness & Weight Updates
The Sum-Product Conjecture is False for Real Numbers
Learning Without Forgetting: The Self-Replay Solution
Language Models Need Sleep
Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings
Building Molecules Atom by Atom with Mechanical Force
Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning
SkillOpt: Teaching Agents to Evolve Their Own Expertise
Advancing Mathematics Research with AI-Driven Formal Proof Search
Generative Recursive Reasoning: Probabilistic Pathways Through Latent Space
cedar: Supercharging Machine Learning Data Pipelines
iGniter: Taming GPU Interference for Predictable Cloud Inference
HRM-Text: Efficient Pretraining Beyond Scaling
Probabilistic Tiny Recursive Model: Test-Time Compute Scaling for Iterative Reasoning
Stable Audio 3: Fast, Variable-Length Audio Generation
General Preference Reinforcement Learning
Breaking Erdős: A 1.014 Exponent for Unit Distances
RT-Splatting: Unified Reflection-Transmission Modeling with Gaussian Splatting
Goldstone Modes: How Physics Unlocks Deep Network Trainability
Learning Causal World Models with State Space Models
VGGT-Omega: Scaling Laws Meet 3D Reconstruction
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