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This paper tackles the operational challenge of validating network configurations and testing failure scenarios in heterogenous IoT-edge-cloud environments without risking live infrastructure
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This paper addresses the challenging problem of counting individual trees from very high-resolution (VHR) satellite imagery, a task important for environmental monitoring but complicated by diverse…
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This paper addresses two critical challenges in stereo-based 3D object detection for autonomous driving — achieving real-time inference speeds and enabling robust open-set detection of unknown obsta…
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This paper addresses the problem of accurately detecting generative AI coding agents in the vast open-source software (OSS) ecosystem, where diverse and often invisible traces make prevalence estim…
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This paper addresses the problem of generating explorable, geometrically accurate 3D scenes from a single input image by leveraging latent representations from pretrained video diffusion models
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This paper addresses the challenging problem of evaluating multi-agent, agentic data analysis systems that produce complex outputs combining code, numeric results, and diagnostic text rather than s…
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HelpBench addresses the critical problem of evaluating whether large language models (LLMs) can reliably provide accurate and safe advice in the domains of digital privacy, safety, and security (PSS)
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This paper addresses the challenge of estimating heterogeneous peer effects in social and economic networks while correcting for endogeneity arising from the endogenous formation of network links
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This paper presents a comprehensive longitudinal analysis of the Crypter-as-a-Service (CraaS) ecosystem on exploit.in, a major Russian-language cybercrime forum active from January 2020 to August 2025
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This paper addresses the lack of large-scale, manually annotated resources for Marathi part-of-speech (POS) tagging by introducing L3Cube-MahaPOS, a corpus of 32,354 sentences from Marathi news text
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This paper addresses the challenging discrete combinatorial problem of discovering high-performance quantum low-density parity-check (qLDPC) codes for large-scale quantum error correction
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This work addresses two key challenges in scientific long-document summarization — the limited scale and structure of existing datasets and the variable quality of author-written abstracts used as r…
