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Formalizing the Binding Problem
This paper addresses the long-standing binding problem in vision — how to represent not only features but also the correct combinations of features that make up distinct objects in multi-object scenes

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This paper addresses the long-standing binding problem in vision — how to represent not only features but also the correct combinations of features that make up distinct objects in multi-object scenes

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GARDEN addresses the enduring challenge of converting multi-view RGB images into 3D scene reconstructions that are both visually faithful and physically structured for downstream simulation and int…

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Hedge-Bench introduces a new benchmarking dataset and evaluation framework designed to test large language models and AI agents on open-ended, real-world financial reasoning tasks performed by prof…

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MedCUA-Bench addresses the critical gap in evaluating computer-use agents (CUAs) on clinical graphical user interfaces (GUIs), which differ substantially from mainstream web or desktop applications…

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This paper develops a rigorous game-theoretic model of strategic block delay (mining gaps) in Proof-of-Work (PoW) blockchain systems

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This paper addresses the novel challenge of enabling data skipping for machine learning (ML) filters embedded in database query predicates, where traditional metadata-aware pruning techniques fail

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This paper addresses the challenging problem of implementing efficient, fault-tolerant logical gates on topological quantum error correcting codes, specifically planar 2D Pauli stabilizer codes, by…

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This paper addresses a foundational problem in large language models (LLMs) used for complex reasoning tasks — how well do these models faithfully express their internal confidence through their lin…

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This work addresses limitations in LiDAR odometry caused by dynamic objects, sparse geometric features, and semantically ambiguous structures in diverse and challenging environments

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This paper introduces SHEAP (Spectral Handling and Estimation of AGN Parameters), the first GPU-accelerated spectral fitting framework for active galactic nuclei (AGN) spectra

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The paper introduces the International Astronomical Union's Office of Astronomy for Development (IAU OAD) Flagship Ecosystem, a comprehensive framework designed to leverage astronomy as a tool for …

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WebRISE addresses a major evaluation gap in benchmarks for multimodal large language model (MLLM)-generated interactive web artifacts