arXiv:2602.07120v1 Announce Type: new Abstract: Modern language models (LMs) tend to memorize portions of their training data and emit verbatim spans. When the underlying sources are sensitive or copyright-protected, such reproduction raises issues of consent and compensation for creators and compliance risks for developers. We propose Anchored Decoding, a plug-and-play inference-time method for suppressing verbatim copying: it enables decoding from any risky LM trained on mixed-license data by keeping generation in bounded proximity to a permissively trained safe […]

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Bitcoin’s consensus mechanism asks: Did you demonstrate sufficient computational commitment to deserve validating this block? Proof of Usefulness asks: Does this project create demonstrable value in the world? The architectural goal is the same in both cases — produce a score that cannot be easily faked and that correlates with something real. The difference is what “something real” means. In Bitcoin, it means electricity burned. In Proof of Usefulness, it means people helped.

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arXiv:2603.05317v1 Announce Type: new Abstract: In clinical prediction settings the importance of a high-dimensional feature like genomics is often assessed by evaluating the change in predictive performance when adding it to a set of traditional clinical variables. This approach is questionable, because it does not account for collinearity nor known directionality of dependencies between variables. We suggest to use asymmetric Shapley values as a more suitable alternative to quantify feature importance in the context of a mixed-dimensional prediction […]

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arXiv:2604.09823v1 Announce Type: new Abstract: The increasing use of LLM-based agents to support decision-making and control across diverse domains motivates the need for systematic deconfliction of their proposed actions. We present a deconfliction framework for coordinating multiple agents that formally encapsulate individual applications, each proposing potentially conflicting actions over shared resources. Conflicts are resolved through three deconfliction modes: bilateral negotiation, structured mediation, and procedural (deterministic) deconfliction. We define design principles for large language model-based client agents, including a […]

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In the previous article, I established that the AI art detectors are unreliable. When I started working on AI writing detectors, I expected there to be flawed systems, but what I found was shocking. The first thing I had to do was develop a test for determining the accuracy of a system. Here is the complete methodology I used for testing. Experimental Design: A 5-Variable Gauntlet The testing framework utilized a controlled input sequence designed to map the […]

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Planning has become a central capability for contemporary agent systems in navigating complex, long-horizon tasks, yet existing approaches predominantly rely on fixed, hand-crafted planning structures that lack the flexibility to adapt to the structural diversity of open-ended problems. To address this limitation, we introduce TodoEvolve, a meta-planning paradigm that autonomously synthesizes and dynamically revises task-specific planning architectures. Specifically, we first construct PlanFactory, a modular design space that standardizes diverse planning paradigms within a unified codebase encompassing topology, initialization, […]

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Author(s): Gowtham Boyina Originally published on Towards AI. And the Forced Alignment Model Is the Interesting Part I’ve tested dozens of speech recognition models over the time. Most claim multilingual support but quietly fall apart when you give them actual Chinese dialects, accented English, or anything beyond standard broadcast audio. The ones that do work well are usually proprietary APIs with pricing that scales uncomfortably. from Qwen-ASR githubAlibaba’s Qwen team has introduced Qwen3-ASR, an open-source speech recognition system […]

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arXiv:2602.22371v1 Announce Type: new Abstract: Quadratization for partial differential equations (PDEs) is a process that transforms a nonquadratic PDE into a quadratic form by introducing auxiliary variables. This symbolic transformation has been used in diverse fields to simplify the analysis, simulation, and control of nonlinear and nonquadratic PDE models. This paper presents a rigorous definition of PDE quadratization, theoretical results for the PDE quadratization problem of spatially one-dimensional PDEs-including results on existence and complexity-and introduces QuPDE, an algorithm […]

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