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Policy Split: Incentivizing Dual-Mode Exploration in LLM Reinforcement with Dual-Mode Entropy Regularization
arXiv:2604.11510v2 Announce Type: replace Abstract: To encourage diverse exploration in reinforcement learning (RL) for large language models (LLMs) without compromising accuracy, we propose Policy Split, a novel paradigm that bifurcates the policy into normal and high-entropy modes with a high-entropy prompt. While sharing model parameters, the two modes undergo collaborative dual-mode entropy regularization tailored to distinct objectives. Specifically, the normal mode optimizes for task...
Dual Advantage Fields
arXiv:2606.04188v1 Announce Type: new Abstract: Offline goal-conditioned reinforcement learning requires both long-horizon reachability estimates and local action comparisons. Dual goal representations provide value fields that capture global goal reachability, but they do not directly specify which action should be preferred at a given state. We propose Dual Advantage Fields, a policy-extraction method that turns a bilinear dual value model into a local advantage signal.
Dual-use research may outgrow national oversight, analysis of 600,000 papers suggests
Dual-use research may outgrow national oversight, analysis of 600,000 papers suggests Sadie Harley Scientific Editor Robert Egan Associate Editor A new analysis of approximately 600,000 research papers reveals structural limits to single-country security oversight of dual-use research and identifies trade-offs that policymakers face when strengthening such oversight. Professor Seokbeom Kwon of the KAIST School of Business and Technology Management has published a large-scale empirical...
China unveils first-of-its-kind 'dual-core' quantum computer — its makers say it improves stability and efficiency
China unveils first-of-its-kind 'dual-core' quantum computer — its makers say it improves stability and efficiency A new Chinese quantum computing system pairs two independent neutral-atom arrays in one processor, aiming to boost stability, efficiency and scalability. A Chinese company has unveiled what its researchers are calling the world’s first "dual-core" quantum computer. It's a neutral-atom system designed to improve stability, efficiency and error correction by pairing two...
Four constructions of self-dual binary cyclic codes with a lower bound on the minimum distances better than the square-root bound
Announce Type: new Abstract: In spite of the intensive study of cyclic codes and the recent construction of an infinite family of self-dual binary cyclic codes whose minimum distances have the square-root bound in IEEE Trans. 71, no. 4, 2025, it is still a 70-year-old open problem whether there is an infinite family of self-dual binary cyclic codes whose minimum distances have a lower bound better than the square-root bound. This paper settles this long-standing open problem in coding theory...
Mixed-Modality Dual Face-Hair Retrieval
Announce Type: new Abstract: We introduce Dual Face-Hair Retrieval (DFHR), a new mixed-modality dual-reference task in image retrieval where a query consists of a face image specifying identity and a hairstyle reference expressed as either an image or text. Unlike prior retrieval settings, DFHR requires cross-component reasoning between two semantically independent attributes -- identity and hairstyle -- originating from heterogeneous modalities. This formulation demands localized feature...
Majorization and Gaussian-Mass Maximality for Construction-A Lattices from Binary Self-Dual Codes
arXiv:2606.03482v1 Announce Type: cross Abstract: Regev and Stephens-Davidowitz conjectured that the integer lattice maximizes Gaussian mass among integral lattices of a given rank. We prove this, including the equality case, for all unimodular Construction-A lattices arising from binary self-dual codes. The proof reduces the theta-series inequality to a sharp majorization statement for codes: if $C$ is a binary self-dual $[2k,k]$ code, then the half-weight distribution of $C$ is dominated...
Depth from Dual Differential Defocus and Stereo Consensus
arXiv:2606.02906v1 Announce Type: cross Abstract: We introduce D^3S Consensus, a physics-based, closed-form algorithm that unifies depth-from-defocus (DfD) and stereo to achieve highly accurate depth estimation throughout an extended working range beyond the depth-of-field (DoF) of cameras. Given a pair of dual-defocus stereo images, the method estimates an overdetermined set of depth using a novel DfD theory, Dual Differential Defocus (D^3), and (S)tereo in a coupled fashion. It then picks...
Dual Lyapunov-based Synchronization Control of R\"ossler System
Announce Type: cross Abstract: This paper proposes a novel approach for the synchronization problem of nonlinear dynamical systems, integrating dual Lyapunov stability analysis with polynomial optimization. A comprehensive review of the relevant scientific literature on synchronization methods is conducted, with a particular focus on classical Lyapunov-based methods for chaotic systems. In this study, the R\"ossler system is synchronized by employing dual Lyapunov-based closed-loop...
Skeletal-Anchored Dual Harmonics for Structured 3D Modeling
Announce Type: new Abstract: We present Skeletal-Anchored Dual Harmonics (SADH), a novel 3D shape representation that tightly couples local surface geometry with internal meso-skeletal organization. SADH represents a shape as a collection of compact surface patches rooted on internal anchors optimized directly inside the object volume. Each patch is parameterized using a dual-channel spherical harmonic (SH) formulation, where one channel models local radial geometry while the other defines...