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This paper addresses a key limitation in CLIP-style vision-language pretraining data curation, where conventional pair-level filtering based on global image-caption alignment saturates and fails to…
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The paper addresses the challenging problem of detecting and characterizing low surface brightness (LSB) galaxies, particularly ultra-diffuse galaxies (UDGs), which are faint and diffuse stellar sy…
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This paper addresses the substantial latency and accuracy limitations in existing computer-use agents (CUAs) that automate complex web tasks from natural language instructions
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This paper addresses the growing challenge of ensuring integrity, authenticity, and trust in software artifacts produced by Continuous Integration (CI) pipelines, especially in complex enterprise s…
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This paper addresses the critical challenge of enabling reliable communication in highly disrupted and delay-prone networks, specifically focusing on the International Space Station (ISS) communica…
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DeepWeb-Bench addresses the challenge of evaluating deep research capabilities of language models, where answering requires massive evidence collection, cross-source reconciliation, and long-horizo…
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This study investigates user experiences with generative ghosts—AI chatbots trained on data about deceased individuals—focusing on how design choices about narrative point of view affect feelings o…
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This paper investigates the security posture of domain registrars and resellers with respect to the risk of domain name takeovers, focusing on the top 10 most popular agents for the .nl country cod…
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This paper addresses the challenge of action timing in reinforcement learning (RL) agents playing fast-paced fighting games, specifically Street Fighter II - Special Champion Edition using the Figh…
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This paper addresses the critical problem of credential revocation for autonomous AI agent swarms that dynamically spawn sub-agents
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This paper addresses the challenge of enabling tactical separation—short-horizon, in-flight coordination to maintain safe spacing and efficient sequencing—in dense low-altitude urban airspace for u…
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This paper addresses the challenge of running large language models (LLMs) efficiently and portably within web browsers, leveraging WebGPU for GPU acceleration
