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This paper addresses a novel security vulnerability in Retrieval-Augmented Generation (RAG) systems that use persistent, append-only memory stores across user sessions
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This paper addresses the underexplored domain of classical Chinese poetry appreciation with large language models (LLMs), focusing beyond general translation or generation tasks to precise translat…
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This paper investigates the sociolinguistic dynamics and social functions of accusations that online comments are AI-generated, focusing on the rise of the pejorative label "AI slop" across million…
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This paper addresses the challenge of grounding vision-language-action (VLA) models for autonomous driving in dense 3D geometry
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WarpGuard addresses the pressing problem of control-flow corruption attacks inside CUDA GPU device code binaries
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This paper addresses the opaque and fragmented dependency ecosystem underlying modern large language models (LLMs)
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This paper addresses the challenge in peer-to-peer (P2P) energy trading markets where network-aware coordination is required to ensure that energy transactions do not violate physical constraints i…
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This paper addresses the challenge of robust and efficient cooperative exploration by multiple unmanned ground vehicles (UGVs) operating in unknown, GPS-denied, and communication-constrained enviro…
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This work presents a large-scale, longitudinal empirical study of newly observed malicious domains collected from VirusTotal over a 5-month period in early 2026
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This paper addresses the challenge of low-light video enhancement (LLVE), specifically the difficulty of enhancing severely degraded videos captured under low illumination
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DarkAgents is a pioneering multi-agent system designed specifically for theoretical astroparticle physics (TAP), addressing its unique challenges such as multi-disciplinary model building, complex …
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This paper addresses the problem of dynamic assortment optimization on two-sided online platforms where both customer and seller preference parameters are initially unknown
