A comparative explainability framework is presented to audit DeBERTa-v3 under zero-shot classification of medical abstra…
Data selection is critical for training large language models on massive and heterogeneous corpora. Meta-learning for Tr…
Despite progress in vision-language models, 3D spatial reasoning from 2D images remains challenging.Text-based methods d…
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As robotic hardware and learning methods advance, humanoids need tools to perform tasks beyond their inherent physical l…
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Privacy-preserving machine learning presents significant deployment challenges on the cloud for intelligent systems with…
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The study of ceramic materials constitutes a cornerstone of archaeological research, yet the post-production workflow fo…
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Memory-augmented large language models must decide which memories to retain, and recent systems do so by estimating each…
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As Large Language Models (LLMs) increasingly serve as foundational reasoning engines, their tendency to hallucinate rema…
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When a SCADA alarm is raised in a water distribution network, operators must decide quickly whether it reflects a cybera…
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Schrödinger bridge (SB) learns stochastic transport between prescribed initial and target distributions.When the initial…
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Recent years have witnessed the rapid adoption of reinforcement learning (RL) in large language model (LLM) post-trainin…
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Large language model (LLM) agents increasingly combine reasoning, tool use, and action, but most evidence comes from epi…
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AI agents can each make locally valid decisions yet jointly produce an invalid result.We call this the global coherence…
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While Large Language Models (LLMs) advance 3D indoor scene synthesis, current pipelines fail to retain user-specific pre…
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Recent vision-language models (VLMs) exhibit remarkable generalization and reasoning abilities, yet 3D understanding in…
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Recent advances in LLM reasoning models---driven primarily by the paradigm of post-training via reinforcement learning w…
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The rapid maturation of artificial intelligence (AI) and machine learning (ML) has catalyzed a profound shift in how che…
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Invisible watermarking has become a central tool for tracing AI-generated images, but its robustness against adaptive re…
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A multi-LLM \emph{council} lets several large language models (LLMs) deliberate on a question and return an answer toget…
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Large Language Model (LLM) agents now take part in organizational work, where many authors record decisions across docum…
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