arXiv:2603.03291v1 Announce Type: new Abstract: Reward Models (RMs) are crucial for online alignment of language models (LMs) with human preferences. However, RM-based preference-tuning is vulnerable to reward hacking, whereby LM policies learn undesirable behaviors from flawed RMs. By systematically measuring biases in five high-quality RMs, including the state-of-the-art, we find that issues persist despite prior work with respect to length, sycophancy, and overconfidence. We also discover new issues related to bias toward model-specific styles and answer-order. We categorize […]

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1. Introduction & Contract-First Approach APIs are the arteries of modern software, powering everything from mobile apps to distributed cloud microservices. Building those APIs, however, is rarely as straightforward as writing a few controller methods. If you’ve worked on any enough complex backend, you’ve probably wrestled with inconsistent request/response payloads, mismatched client/server contracts, or ambiguous endpoint documentation. I certainly have, and the pain points are always the same: a frontend developer working from outdated documentation, a client blocked […]

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arXiv:2604.17003v1 Announce Type: new Abstract: Final FIPS and PKIX standards for ML-KEM and ML-DSA fix the normative floor, but operational assurance in post-quantum X.509 still depends on accountable checks across certificate-profile semantics, SubjectPublicKeyInfo representation, and private-key-container import. We present a workflow-centric assurance framework for ML-KEM and ML-DSA in the narrow executable profile pkix-core. The framework reifies 17 final-standards requirements into an assurance registry indexed by owner, stage, detector kind, normative strength, and mode-specific action; groups them into three […]

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arXiv:2601.08863v1 Announce Type: new Abstract: High-throughput, low-cost phenotyping remains a critical bottleneck in wheat breeding, genetics, and crop management. This is particularly evident in the measurement of complex yield components (i.e., spike and spikelet counts), disease and grain-quality traits related to Fusarium Head Blight (FHB) and Fusarium-Damaged Kernels (FDK), and microscale physiological traits such as density and size of stomata and aperture. We introduce WheatAI (wheatai.net), an AI-powered web application designed to bridge the gap between advanced computer […]

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arXiv:2603.15691v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have given rise to vibe coding, a style of software development where developers rely on AI coding assistants to generate, modify, and refactor code using natural language instructions. While this paradigm accelerates software development and lowers barriers to entry, it introduces new challenges for quality assurance (QA). AI-generated code can appear correct but often contains hidden logical errors and inconsistencies, creating an urgent need for novel […]

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X’s AI-powered custom timelines are replacing Communities, with Grok-curated feeds…and new ad slots.

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arXiv:2602.06883v1 Announce Type: cross Abstract: The smoothness of the transformer architecture has been extensively studied in the context of generalization, training stability, and adversarial robustness. However, its role in transfer learning remains poorly understood. In this paper, we analyze the ability of vision transformer components to adapt their outputs to changes in inputs, or, in other words, their plasticity. Defined as an average rate of change, it captures the sensitivity to input perturbation; in particular, a high plasticity […]

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arXiv:2603.25906v1 Announce Type: new Abstract: Estimating human pose, classifying actions, and predicting movement progress are essential for human-robot interaction. While vision-based methods suffer from occlusion and privacy concerns in realistic environments, tactile sensing avoids these issues. However, prior tactile-based approaches handle each task separately, leading to suboptimal performance. In this study, we propose a Shared COnvolutional Transformer for Tactile Inference (SCOTTI) that learns a shared representation to simultaneously address three separate prediction tasks: 3D human pose estimation, action […]

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