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Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation
Why Generated Video Alone Fails at Contact-Rich Manipulation Video generation models have opened a new path for robot learning. Instead of teleoperating a robot hundreds of times to collect demonstrations, you can generate a video...
Probabilistic Linear Explanations
When a machine learning model denies someone a loan or flags a medical scan, the most natural question is "why?" Formal explainability has spent years trying to answer that question with mathematical rigor. The dominant approach f...
Double descent is the principle of least action
The double descent phenomenon is one of the most counterintuitive findings in modern machine learning. Train a model with a small number of parameters and test error falls as you add more, following the classical bias-variance cur...
Breaking the 1.58-bit Barrier for Ternary LLMs
Ternary large language models pack every weight into one of three values: -1, 0, or +1. The information-theoretic floor for storing those choices is about 1.585 bits per weight, and the standard five-trit packing scheme used in pr...
Agentic Societies Need a Social Harness
When AI Agents Talk to Each Other, They Need More Than a Protocol Imagine two AI agents, each working on behalf of a different person, trying to schedule a meeting. One has access to its principal's calendar. The other has access...
You Shall Not Pass into Ring-0! A User Privacy-Friendly Anti-Cheat Architecture for Personal Computers
Anti-Cheat Software Spies on Players. This Architecture Stops That. When you install a competitive game like Valorant or Fortnite, you also install kernel-level anti-cheat software. Riot Vanguard, Easy Anti-Cheat, BattlEye, and FA...
When Should LLMs Abstain? Chain-of-Self-Questioning for Selective Risk Control
LLMs Should Know When to Say "I Don't Know" Language models are fluent by default. Ask them a question they cannot answer, and they will produce something that sounds right, reads well, and might be completely wrong. In healthcare...
Verifiable Social Reasoning for LLM Assistants
Why Your Chatbot Can't Read Between the Lines When you tell your LLM assistant that a coworker seems a little too eager to help, you're giving it a subjective, filtered, emotionally loaded account of reality. The assistant never s...
LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence
A Tabular Foundation Model That Learns Joint Distributions, Not Just Predictions Tabular data is the unglamorous backbone of machine learning in practice. Healthcare records, financial transactions, sensor readings, scientific mea...
JustFit: 200K-Token LLM Serving on a 24 GiB Laptop with Just-in-Time State Management
Fitting a 27B-Parameter LLM into 24 GiB of Laptop Memory The promise of local LLM inference is straightforward: run capable models on hardware you own, keep your data private, and avoid API costs. The obstacle is equally straightf...