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This paper addresses the problem of characterizing functions f — Z_n → Z_n for which the averages of roots of unity expressions µ_b(f) = (1/n) ∑_{x=0}^{n-1} ω^{f(x)+bx} (with ω=e^{2πi/n}) are algebr…
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This paper investigates how well language models (LMs), especially open-source and medium-sized ones, understand rare English Paired-Focus constructions like “let alone” and “much less,” which join…
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This paper addresses the challenges in dynamic 4D scene reconstruction from monocular video, specifically critiquing existing feed-forward methods that predict per-pixel 3D Gaussians for each frame
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The paper addresses the novel challenge of anonymizing long-form text such as interview transcripts against agentic large language model (LLM) re-identification attacks augmented with web search
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LLM-FACETS addresses the critical challenge of enabling accessible, privacy-preserving, and reproducible evaluation of Large Language Models (LLMs) for diverse practitioner profiles, especially non…
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This paper addresses the challenge of long-context reasoning in large language models (LLMs), which struggle to locate and integrate relevant information within lengthy, distractor-filled documents
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This paper addresses a critical assumption in web measurement studies that commercial VPN providers can be treated as interchangeable vantage points within the same source country
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Self-supervised novel view synthesis (NVS) aims to predict novel images of static scenes from input views without relying on ground-truth camera poses
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This paper addresses the challenge of building reliable multilingual orthopedic clinical decision support systems from free-text narratives in English, Hindi, and Punjabi
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This paper addresses the challenge of estimating accurate 3D world-space poses of multiple soccer players from broadcast video, a difficult task due to wide camera angles, partial occlusions, and z…
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This paper addresses the challenge of evaluating structured object understanding in vision foundation models (VFMs) by focusing on semantic object correspondence (SOC), the ability to match semanti…
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TunerDiT addresses the challenge of generating long-horizon, multi-event videos from text prompts using diffusion transformer (DiT) based video generators
