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Computer Science Preprint PDF DOI

Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation

Jiaju Chen, Chongming Gao, Chenxiao Fan, Haoyan Liu, Qingpeng Cai, Peng Jiang, Xiangnan He · 2026

Large language model (LLM)-based generative list-wise recommendation has advanced rapidly, but decoding remains sequential and thus latency-prone. To accelerate inference without changing the target d…

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Physics Preprint PDF DOI

Probing dust properties through polarized scattered-light images of a sample of ring-shaped protoplanetary disks

Maxime Roumesy, Francois Menard, Gaspard Duchene, Ryo Tazaki, Christian Ginski · 2026

The evolution of protoplanetary disks, especially in the early stages of planetary formation, as dust grows, is the cornerstone of the birth of planets. The mechanisms involved in the growth of sub-mi…

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Computer Science Preprint PDF DOI

SST-Guard: Detecting and Characterizing Server-Side Google Analytics in the Wild

Muhammad Jazlan, Alexander Gamero-Garrido, Zubair Shafiq, Yash Vekaria · 2026

As web browsers increasingly restrict client-side tracking, the web tracking ecosystem is shifting from client-side to server-side tracking (SST). In SST, the browser sends tracking requests to an int…

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Computer Science Preprint PDF DOI

Pragmos: A Process Agentic Modeling System

Pedro-Aaron Hernandez-Avalos, Luciano Garcia-Banuelos · 2026

The advent of Large Language Models (LLMs) has significantly transformed tasks across Software Engineering. In the context of Business Process Management, LLMs are now being explored as tools to deriv…

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Mathematics Preprint PDF DOI

Weighted Linearization of Vector Fields via a Formal Moser Trick

Arthur Lei Qiu · 2026

Many well-known theorems establish sufficient criteria for linearizability of a vector field in terms of the eigenvalues of its linear approximation. By attaching weights to coordinates so that some d…

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AI & Data Science Preprint PDF DOI

State Beyond Appearance: Diagnosing and Improving State Consistency in Dial-Based Measurement Reading

Yuanze Hu, Gen Li, Yuqin Lan, Qingchen Yu, Zhichao Yang, Junwei Jing, Zhaoxin Fan, Xiaotie Deng · 2026

Multimodal large language models (MLLMs) have achieved impressive progress on general multimodal tasks, yet they remain brittle on dial-based measurement reading. In this paper, we study this problem …

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AI & Data Science Preprint PDF DOI

Translating Under Pressure: Domain-Aware LLMs for Crisis Communication

Antonio Castaldo, Maria Carmen Staiano, Johanna Monti, Sheila Castilho, Francesca Chiusaroli · 2026

Timely and reliable multilingual communication is critical during natural and human-induced disasters, but developing effective solutions for crisis communication is limited by the scarcity of curated…

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Computer Science Preprint PDF DOI

AHASD: Asynchronous Heterogeneous Architecture for LLM Adaptive Drafting Speculative Decoding on Mobile Devices

Ma Zirui, Fan Zhihua, Li Wenxing, Wu Haibin, Zhang Fulin, Ye Xiaochun, Li Wenming · 2026

Speculative decoding enhances the inference efficiency of large language models (LLMs) by generating drafts using a small draft language model (DLM) and verifying them in batches with a large target l…

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AI & Data Science Preprint PDF DOI

DRAGON: A Benchmark for Evidence-Grounded Visual Reasoning over Diagrams

Anirudh Iyengar Kaniyar Narayana Iyengar, Tampu Ravi Kumar, Gaurav Najpande, Manan Suri, Dinesh Manocha, Puneet Mathur, Vivek Gupta · 2026

Diagram question answering (DQA) requires models to interpret structured visual representations such as charts, maps, infographics, circuit schematics, and scientific diagrams. Recent vision-language …

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Physics Preprint PDF DOI

Multi-component, axisymmetric dynamical models of dSphs based on distribution functions: inferences on dark matter and intermediate-mass black holes in Draco and Ursa Minor

R. Pascale, G. Battaglia, J.M. Arroyo-Polonio, E. Vasiliev, C. Nipoti, G.F. Thomas · 2026

Dwarf spheroidal galaxies (dSphs) are prime laboratories for studying dark matter (DM) and the black hole demographics in the low-mass regime. These systems are also often flattened; nevertheless most…

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AI & Data Science Preprint PDF DOI

Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style

Connor Baumler, Calvin Bao, Huy Nghiem, Xinchen Yang, Marine Carpuat, Hal Daume III · 2026

Despite the growing use of large language models (LLMs) for writing tasks, users may hesitate to rely on LLMs when personal style is important. Post-editing LLM-generated drafts or translations is a c…

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Mathematics Preprint PDF DOI

Average Steps until Absorption on Random Walks on Sea Dragon Trees

Lillian Ates, Zachary Chapman, John Estes, Tyler Jackson · 2026

For a graph $G$ and vertices $u,v$, we define the ASUA of $v$, $t(G,v,u)$, to be the average steps until absorption along a random walk terminating at $u$. We define a sea dragon to be a tree with a u…

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Physics Preprint PDF DOI

First Statistical Study of Over 100 Magnified Stellar Events at Redshift $z \approx 0.725$ with JWST

J. M. Palencia, Fengwu Sun, J. M. Diego, Yoshinobu Fudamoto, Anton M. Koekemoer, Christopher N. A. Willmer, Eduardo Iani, Xiaojing Lin, Justin D. R. Pierel, Alfred Amruth, Tom Broadhurst, W. Chen, Liang Dai, Daniel Espada, Alexei V. Filippenko, Seiji Fujimoto, Mingyu Li, Sung Kei Li, Ashish Kumar Meena, Jordi Miralda-Escude, P. Morilla, Mitchell F. Struble, Hayley Williams, E. Zackrisson, Ruwen Zhou, Adi Zitrin · 2026

Highly magnified stars at cosmological distances ($z \gtrsim 0.7$) become detectable thanks to microlensing by intracluster stars near the critical curves of galaxy clusters. Multi-epoch photometric c…

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AI & Data Science Preprint PDF DOI

HFS-TriNet: A Three-Branch Collaborative Feature Learning Network for Prostate Cancer Classification from TRUS Videos

Xu Lu, Qianhong Peng, Qihao Zhou, Shaopeng Liu, Xiuqin Ye, Chuan Yang, Yuan Yuan · 2026

Transrectal ultrasound (TRUS) imaging is a cost-effective and non-invasive modality widely used in the diagnosis of prostate cancer. The computer-aided diagnosis (CAD) relying on TRUS images has been …

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Computer Science Preprint PDF DOI

TraceScope: Interactive URL Triage via Decoupled Checklist Adjudication

Haolin Zhang, William Reber, Yuxuan Zhang, Guofei Gu, Jeff Huang · 2026

Modern phishing campaigns increasingly evade snapshot-based URL classifiers using interaction gates (e.g., checkbox/slider challenges), delayed content rendering, and logo-less credential harvesters. …

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AI & Data Science Preprint PDF DOI

ActuBench: A Multi-Agent LLM Pipeline for Generation and Evaluation of Actuarial Reasoning Tasks

Jan-Philipp Schmidt · 2026

We present ActuBench, a multi-agent LLM pipeline for the automated generation and evaluation of advanced actuarial assessment items aligned with the International Actuarial Association (IAA) Education…

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Physics Preprint PDF DOI

The evolution of a gas plume injected into a curved axisymmetric porous channel

Peter Castellucci, Radha Boya, Lin Ma, Igor L. Chernyavsky, Oliver E. Jensen · 2026

We investigate gas injection into water-saturated porous channels with Gaussian and parabolic axisymmetric centrelines, as idealized models of underground gas storage in dome-shaped anticlines. Exploi…

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Computer Science Preprint PDF DOI

From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems

Quang-Huy Nguyen, Thanh-Hai Nguyen, Khac-Manh Thai, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Masoud Mansoury, Duc-Trong Le, Hoang-Quynh Le · 2026

Counterfactual explanations (CEs) provide an intuitive way to understand recommender systems by identifying minimal modifications to user-item interactions that alter recommendation outcomes. Existing…

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AI & Data Science Preprint PDF DOI

HarDBench: A Benchmark for Draft-Based Co-Authoring Jailbreak Attacks for Safe Human-LLM Collaborative Writing

Euntae Kim, Soomin Han, Buru Chang · 2026

Large language models (LLMs) are increasingly used as co-authors in collaborative writing, where users begin with rough drafts and rely on LLMs to complete, revise, and refine their content. However, …

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AI & Data Science Preprint PDF DOI

Embarrassingly Causal: Causal Use of Associational Data in Magic The Gathering Drafts

Mark Louie F. Ramos, Ph.D · 2026

Observational data are often used to answer causal questions, yet the legitimacy of doing so is often argued to hinge on strong, domain supported assumptions about underlying causal structure with lim…

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