January 2026

arXiv:2601.08836v1 Announce Type: new Abstract: Post-Traumatic Stress Disorder (PTSD) is a multifaceted mental health condition, particularly challenging for individuals with pre-existing medical conditions. This review critically examines the intersection of PTSD and chronic illnesses as expressed on social media platforms. By systematically analyzing literature from 2008 to 2024, the study explores how PTSD manifests and is managed in individuals with chronic conditions such as cancer, heart disease, and autoimmune disorders, with a focus on online expressions on platforms […]

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arXiv:2601.08835v1 Announce Type: new Abstract: Multi-agent systems where Large Language Models (LLMs) deliberate to form consensus have gained significant attention, yet their practical value over simpler methods remains under-scrutinized. We introduce DELIBERATIONBENCH, a controlled benchmark evaluating three deliberation protocols against a strong baseline of selecting the best response from a pool of model outputs. Across 270 questions and three independent seeds (810 total evaluations), we find a striking negative result: the best-single baseline achieves an 82.5% +- 3.3% […]

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arXiv:2601.08834v1 Announce Type: new Abstract: Reading text from images or scanned documents via OCR models has been a longstanding focus of researchers. Intuitively, text reading is perceived as a straightforward perceptual task, and existing work primarily focuses on constructing enriched data engineering to enhance SFT capabilities. In this work, we observe that even advanced OCR models exhibit significantly higher entropy in formatted text (emph{e.g.}, formula, table, etc.) compared to plain text, often by an order of magnitude. These […]

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arXiv:2601.08833v1 Announce Type: new Abstract: Different from traditional Large Language Model (LLM) serving that colocates the prefill and decode stages on the same GPU, disaggregated serving dedicates distinct GPUs to prefill and decode workload. Once the prefill GPU completes its task, the KV cache must be transferred to the decode GPU. While existing works have proposed various KV cache transfer paths across different memory and storage tiers, there remains a lack of systematic benchmarking that compares their performance […]

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Assessment of sperm morphological quality remains a critical yet subjective component of male fertility evaluation, often limited by inter-observer variability and resource constraints. This study presents a comparative biomedical artificial intelligence framework evaluating an image-based deep learning model (HuSHeM) alongside a clinically grounded baseline derived from World Health Organization criteria augmented with the Systemic Inflammation Response Index (WHO(+SIRI)). The HuSHeM model was trained on high-resolution sperm morphology images and evaluated using an independent clinical cohort. Model performance was […]

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The job market didn’t suddenly become broken. It became AI-native quietly, incrementally, and without updating the rules for the people inside it. We still talk about hiring as if humans are the primary decision-makers. As if a recruiter reads every CV, evaluates context, and makes a judgment call. That story is comforting. It’s also largely false. To be honest, it is so far from reality, that it no longer exists. More Today, software makes the first, and often […]

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Digital Trust Is Not a Feature – It’s a Philosophical Problem For most of human history, trust was something we negotiated face to face. We trusted people we knew, institutions we could see, and systems that evolved slowly enough for social norms to keep pace. Today, that foundation is gone. Trust now flows through code, algorithms, platforms, and automated decisions – often invisible, often opaque, and rarely negotiable. This is not merely a technological shift. It is ==a […]

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Parallelism, kernels, and why memory matters most Being a PhD student working on AI and NLP, I’ve spent quite some time using PyTorch and other high-level frameworks that abstract away the GPU. But recent discussions about whether I should learn CUDA pushed me to step back and revisit the basics: where all of this started, and why it changed. This isn’t an official “learning guide” or a course roadmap. It’s going back to first principles and sharing the insights I’m learning […]

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