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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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Computer Science Preprint PDF DOI

Towards an Ethical AI Curriculum: A Pan-African, Culturally Contextualized Framework for Primary and Secondary Education

Abidemi Kuburat Adedeji, Franklin Tchakounte, Sulaiman Oluwasegun Yusuff · 2026

Artificial intelligence (AI) is now embedded in educational, civic, and economic systems worldwide. For African primary and secondary education, this creates a double imperative: to prepare a young po…

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Computer Science Preprint PDF DOI

SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing?

Noam Tarshish, Nofar Selouk, Daniel Hodisan, Bar Ezra Gafniel, Yuval Elovici, Asaf Shabtai, Eliya Nachmani · 2026

Instructed code editing is a significant challenge for large language models (LLMs). On the EditBench benchmark, 39 of 40 evaluated models obtain a task success rate (TSR) below 60 percent, highlighti…

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Computer Science Preprint PDF DOI

AFA: Identity-Aware Memory for Preventing Persona Confusion in Multi-User Dialogue

Mohammad Al-Ratrout, Pavan Uttej Ravva, Shayla Sharmin, Aditya Raikwar, Ju Young Shin, Roghayeh Leila Barmaki · 2026

When multiple people share a single voice assistant, the system conflates their histories: one resident's preferences can leak into another's responses, eroding utility and trust. We call this failure…

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Computer Science Preprint PDF DOI

Identification to Subclasses of Chordal Graphs

Petr A. Golovach, Laure Morelle, Daniel Paulusma · 2026

An identification of two vertices $u$ and $v$ in a graph replaces them with a new vertex whose neighborhood is the union of the neighborhoods of $u$ and $v$. We study the {\sc ${\cal H}$-Identificatio…

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Computer Science Preprint PDF DOI

An AI-Based Supervisory Measurement Integrity Validation Layer for Cyber-Resilient AC/DC Protection in Inverter-Based Microgrids

Ahmad Mohammad Saber, Ahmed Saber Refae, Davor Svetinovic, Hatem Zeineldin, Amr Youssef, Ehab F. El-Saadany, Deepa Kundur · 2026

Line current differential relays (LCDRs) are measurement-driven relays that rely on time-synchronized multi-phase current waveforms to infer internal faults in AC and DC power networks. In inverter-ba…

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Computer Science Preprint PDF DOI

Kernelization Bounds for Constrained Coloring

Ishay Haviv · 2026

We study the kernel complexity of constraint satisfaction problems over a finite domain, parameterized by the number of variables, whose constraint language consists of two relations: the non-equality…

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Computer Science Preprint PDF DOI

Finite-Length Empirical Comparison of Polar, PAC, and Invertible-Extractor Secrecy Codes over the Wiretap BSC

Jaswanthi Mandalapu, Andrew Thangaraj · 2026

We compare three secrecy-coding schemes for the degraded wiretap binary symmetric channel (BSC) in the finite-blocklength regime: (i) polar wiretap coset codes, (ii) PAC codes used as wiretap coset co…

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Computer Science Preprint PDF DOI

Lossless Compression via Chained Lightweight Neural Predictors with Information Inheritance

Yuriy Kim, Evgeny Belyaev · 2026

This paper is dedicated to lossless data compression with probability estimation using neural networks. First, we propose a probability estimation architecture based on a chain of neural predictors, s…

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Computer Science Preprint PDF DOI

Towards Understanding Android APIs: Official Lists, Vendor Customizations, and Real-World Usage

Sinan Wang, Qi Zhang, Jiacheng Li, Lili Wei, Yida Tao, Yepang Liu · 2026

Android apps are built on APIs that abstract core Android system functionalities. These APIs are officially documented in multiple files distributed with the Android source code or SDK, which we colle…

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Computer Science Preprint PDF DOI

Tight Bounds for Learning Polyhedra with a Margin

Shyamal Patel, Santosh Vempala · 2026

We give an algorithm for PAC learning intersections of $k$ halfspaces with a $\rho$ margin to within error $\varepsilon$ that runs in time $\textsf{poly}(k, \varepsilon^{-1}, \rho^{-1}) \cdot \exp \le…

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Computer Science Preprint PDF DOI

Beyond Single-Dimension Novelty: How Combinations of Theory, Method, and Results-based Novelty Shape Scientific Impact

Yi Zhao, Yang Chenggang, Yuzhuo Wang, Tong Bao, Zhang Heng, Chengzhi Zhang · 2026

Scientific novelty drives advances at the research frontier, yet it is also associated with heightened uncertainty and potential resistance from incumbent paradigms, leading to complex patterns of sci…

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Computer Science Preprint PDF DOI

Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search

Jiahao Zhang, Shaofei Huang, Yaxiong Wang, Zhedong Zheng · 2026

Text-based person search faces inherent limitations due to data scarcity, driven by stringent privacy constraints and the high cost of manual annotation. To mitigate this, existing methods usually rel…

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Computer Science Preprint PDF DOI

Query Optimization and Evaluation via Information Theory: A Tutorial

Mahmoud Abo Khamis, Hung Q. Ngo, Dan Suciu · 2026

Database theory is exciting because it studies highly general and practically useful abstractions. Conjunctive query (CQ) evaluation is a prime example: it simultaneously generalizes graph pattern mat…

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Computer Science Preprint PDF DOI

Justified or Just Convincing? Error Verifiability as a Dimension of LLM Quality

Xiaoyuan Zhu, Kimberly Le Truong, Riccardo Fogliato, Gokul Swamy, Weijian Zhang, Minglai Yang, Longtian Ye, Bangya Liu, Minghao Liu, Andrew Ilyas, Steven Wu · 2026

As LLMs are deployed in high-stakes settings, users must judge the correctness of individual responses, often relying on model-generated justifications such as reasoning chains or explanations. Yet, n…

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Computer Science Preprint PDF DOI

Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks

Poornima Kumaresan, Shwetha Singaravelu, Lakshmi Rajendran, Santhosh Sivasubramani · 2026

Quantum machine learning (QML) stands at the intersection of quantum computing and artificial intelligence, offering the potential to solve problems that remain intractable for classical methods. Howe…

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Computer Science Preprint PDF DOI

Parameterized Approximation of Rectangle Stabbing

Huairui Chu, Ajaykrishnan E S, Daniel Lokshtanov, Anikait Mundhra, Thomas Schibler, Xiaoyang Xu, Jie Xue · 2026

In the Rectangle Stabbing problem, input is a set ${\cal R}$ of axis-parallel rectangles and a set ${\cal L}$ of axis parallel lines in the plane. The task is to find a minimum size set ${\cal L}^* \s…

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Computer Science Preprint PDF DOI

Opal: Private Memory for Personal AI

Darya Kaviani, Alp Eren Ozdarendeli, Jinhao Zhu, Yu Ding, Raluca Ada Popa · 2026

Personal AI systems increasingly retain long-term memory of user activity, including documents, emails, messages, meetings, and ambient recordings. Trusted hardware can keep this data private, but str…

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Computer Science Preprint PDF DOI

PAC learning PDFA from data streams

Robert Baumgartner, Sicco Verwer · 2026

This is an extended version of our publication Learning state machines from data streams: A generic strategy and an improved heuristic, International Conference on Grammatical Inference (ICGI) 2023, R…

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Computer Science Preprint PDF DOI

Multi-paradigm Logic Programming in the ${\cal E}$rgoAI System

Michael Kifer, Theresa Swift · 2026

ErgoAI is a high level, multi-paradigm logic programming language and system developed by Coherent Knowledge Systems as an enhancement of and a successor to the popular Flora-2 system. ErgoAI is orien…

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