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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
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This paper addresses the growing challenge of detecting video misinformation that operates at the semantic and evidential level, where visual content may be authentic but is misleading through edit…
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This paper addresses the challenge that existing textual world models for language agents remain static after training, limiting their adaptability to the on-policy state-action distributions induc…
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Dexterity-BEV addresses critical limitations in current end-to-end robotic manipulation policies that derive from 2D pretrained vision-language foundation models
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This paper addresses a fundamental challenge in training reinforcement learning (RL) search agents — typical approaches require the policy model to manage both strategic semantic decisions and low-l…
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This paper introduces Humanity’s Last Line of Verification (HLL), a comprehensive benchmark designed to evaluate whether multimodal agents can pass interactive CAPTCHA challenges that serve as huma…
