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Frontline 4
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Frontline 4

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User Preference Induction with LLMs for Offline Top-N Recommendation Evaluation
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User Preference Induction with LLMs for Offline Top-N Recommendation Evaluation

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Inter Stop Energy Prediction and Causal Driver Quantification for Dual Source Trolleybuses via a Time Aware Tabular Deep Learning Architecture
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Inter Stop Energy Prediction and Causal Driver Quantification for Dual Source Trolleybuses via a Time Aware Tabular Deep Learning Architecture

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Characterising AI Models for Cataloguing
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Characterising AI Models for Cataloguing

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The In-Car Sign Language Corpus (ICSL) : A Multi-Modal Resource for Constrained-Space Sign Language Recognition
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The In-Car Sign Language Corpus (ICSL) : A Multi-Modal Resource for Constrained-Space Sign Language Recognition

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Cover Semantics for Intuitionistic Modalities
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Cover Semantics for Intuitionistic Modalities

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Metadata Supervised MRI Representations for Modelling and Controlling Acquisition Variability
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Metadata Supervised MRI Representations for Modelling and Controlling Acquisition Variability

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Towards Predictive, Aligned, and Scalable Robot Learning
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Towards Predictive, Aligned, and Scalable Robot Learning

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Compile Then Page: Executable SOP Programs and a Capability-Gated Runtime for Procedural LLM Agents
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Compile Then Page: Executable SOP Programs and a Capability-Gated Runtime for Procedural LLM Agents

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CR-Solver GPU-Accelerated Kinematics Solver for Tendon-driven Continuum Robots
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CR-Solver GPU-Accelerated Kinematics Solver for Tendon-driven Continuum Robots

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Verifier-Guided Twelve-Tone Composition: Generate–Verify–Repair Harness for Symbolic Music Generation
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Verifier-Guided Twelve-Tone Composition: Generate–Verify–Repair Harness for Symbolic Music Generation

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Low latency data-flow graphs for simultaneous modular inversion of many inputs
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Low latency data-flow graphs for simultaneous modular inversion of many inputs

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Fuss-free cumulative universes theory and practice
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Fuss-free cumulative universes theory and practice

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Prompt Generation Technical Report
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Prompt Generation Technical Report

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Finding Nearly-Periodic Components in Digraphs and Markov Chains from the Spectrum of Rotated Laplacian Matrices
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Finding Nearly-Periodic Components in Digraphs and Markov Chains from the Spectrum of Rotated Laplacian Matrices

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