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This paper addresses the operational challenge in production forecasting systems of deciding when to replace a maintained incumbent model with a newly.
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The paper addresses a key limitation in multimodal on-policy distillation (OPD) for visual language models: the teacher's next-token corrections are.
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This paper addresses a fundamental limitation in standard masked language model (MLM) fine-tuning applied to genomic sequences, particularly ancient DNA.
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ViewMind3D addresses the challenge of 3D question answering (3D-QA) in indoor scenes without relying on costly 3D-specific training or fine-tuning.
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Verified Image Grounding (VIG) addresses the crucial challenge of reliably integrating authentic visual evidence—retrieved real-world images—into.
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VizPilot addresses the challenge of onboarding novice users to complex SVG-based composite visualizations, which integrate multiple coordinated views and.
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This paper identifies and thoroughly investigates a surprising failure mode in large language models (LLMs) called Salience Bias, where models overly.
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X-NavDP addresses the challenge of improving navigation diffusion policies pretrained via imitation from oracle expert demonstrations limited to a single.
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This paper presents ZAPs, a novel reward attribution framework designed specifically for decentralized finance (DeFi) ecosystems where incentive programs.
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This paper addresses the challenge of aerodynamic design in turbomachinery, focusing on centrifugal compressors with complex 3D blade geometries and.
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This paper tackles the problem of Sybil attacker detection in the Ethereum blockchain, where attackers control multiple pseudonymous wallets to exploit.
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This paper investigates a broad class of multi-agent arrangement problems where agents, possessing ordinal preference rankings over each other, must be.
