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๐Ÿ” gen liu ๐Ÿ“‚ Computer Science
Showing 3750 results for "gen liu" in Computer Science
Computer Science Preprint PDF DOI

Predicting Upcoming Stuttering Events from Three-Second Audio: Stratified Evaluation Reveals Severity-Selective Precursors, and the Model Deploys Fully On-Device

Nazar Kozak ยท 2026

Audio-based stuttering systems to date have been trained for detection -- what disfluency is present now -- leaving prediction, the capability needed for closed-loop intervention, unstudied at deployaโ€ฆ

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LATTICE: Evaluating Decision Support Utility of Crypto Agents

Aaron Chan, Tengfei Li, Tianyi Xiao, Angela Chen, Junyi Du, Xiang Ren ยท 2026

We introduce LATTICE, a benchmark for evaluating the decision support utility of crypto agents in realistic user-facing scenarios. Prior crypto agent benchmarks mainly focus on reasoning-based or outcโ€ฆ

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eDySec: A Deep Learning-based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem

Sk Tanzir Mehedi, Raja Jurdak, Chadni Islam, Abu Bakar Siddique Mahi, Gowri Ramachandran ยท 2026

The security of open-source software repositories is increasingly threatened by next-gen software supply chain attacks. These attacks include multiphase malware execution, remote access activation, anโ€ฆ

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Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in Large Language Models

Nay Myat Min, Long H. Pham, Jun Sun ยท 2026

Large language models deployed at runtime can misbehave in ways that clean-data validation cannot anticipate: training-time backdoors lie dormant until triggered, jailbreaks subvert safety alignment, โ€ฆ

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MatchRDMA: A Segmented and Rate-Matched Long-Haul RDMA Scheme for Geo-distributed LLM Training over OTN

Jun Dai, Xiaorun Wang, Xingde Li, Zheng Yang, Kexiong Fang, Zhiqun Gu, Hongxiang Wang, Yuefeng Ji, Jiawei Zhang ยท 2026

We propose MatchRDMA, a proactive, segmented, and rate-matched long-haul RDMA scheme for geo-distributed LLM training over OTN. By coordinating source and destination OTN rates, it improves inter-DC tโ€ฆ

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Birds of a Feather Cluster Nearby: a Proximity-Aware Geo-Codebook for Local Service Recommendation

Tian He, Chen Yang, Jiawei Zhang, Lin Guo, Wei Lin, Zhuqing Jiang ยท 2026

Generative recommendation systems are increasingly adopted in local service platforms, where semantic relevance alone is insufficient without strict geographic feasibility. A key technical challenge lโ€ฆ

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Ablation and the Meno: Tools for Empirical Metamathematics

Zhengqin Fan, Simon DeDeo ยท 2026

We present the results from Meno, a simple autoformalizer that proves theorems in Lean by systematically exploring the space of both formal and informal proofs, and tactic ablation, a new method for eโ€ฆ

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TorchGWAS : GPU-accelerated GWAS for thousands of quantitative phenotypes

Xingzhong Zhao, Ziqian Xie, Islam, Sheikh Muhammad Saiful, Tian Xia, Chen, Cheng, Degui Zhi ยท 2026

Motivation: Modern bioinformatics workflows, particularly in imaging and representation learning, can generate thousands to tens of thousands of quantitative phenotypes from a single cohort. In such sโ€ฆ

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Coordinatewise Balanced Covering for Linear Gain Graphs, with an Application to Coset-List Min-2-Lin over Powers of Two

Faruk Alpay, Levent Sarioglu ยท 2026

We study a list-constrained extension of modular equation deletion over powers of two, called Coset-List Min-2-Lin$^{\pm}$ over $\mathbb{Z}/2^d\mathbb{Z}$. Each variable is restricted to a dyadic coseโ€ฆ

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Peeling Rotten Potatoes for a Faster Approximation of Convex Cover

Omrit Filtser, Tzalik Maimon, Ofir Yomtovyan ยท 2026

The minimum convex cover problem seeks to cover a polygon $P$ with the fewest convex polygons that lie within $P$. This problem is $\exists\mathbb R$-complete, and the best previously known algorithm,โ€ฆ

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Strategic Facility Location with Limited Liars

Yue Gruszecki, Elliot Anshelevich ยท 2026

We study Nash equilibria in strategic facility location games where clients are located in an arbitrary metric space. Specifically, there are $n$ clients, and the goal is to choose a facility from a sโ€ฆ

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EquivFusion: Unifying Hardware Equivalence Checking from Algorithms to Netlists via MLIR

Jiaying Zhu, Baoqi Zhang, Mengxia Tao, Kezhi Li, Hao Yan, Qiang Xu, Min Li ยท 2026

Ensuring functional consistency between high-level algorithmic models and low-level hardware implementations is a critical challenge, particularly as modern design flows increasingly span heterogeneouโ€ฆ

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The Parameterized Complexity of Coloring Mixed Graphs

Antonio Lauerbach, Konstanty Junosza-Szaniawski, Marie Diana Sieper, Alexander Wolff ยท 2026

A mixed graph contains (undirected) edges as well as (directed) arcs, thus generalizing undirected and directed graphs. A proper coloring $c$ of a mixed graph $G$ assigns a positive integer to each veโ€ฆ

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Low-Cost System for Automatic Recognition of Driving Pattern in Assessing Interurban Mobility using Geo-Information

Oscar Romero, Aika Silveira Miura, Lorena Parra, Jaime Lloret ยท 2026

Mobility in urban and interurban areas, mainly by cars, is a day-to-day activity of many people. However, some of its main drawbacks are traffic jams and accidents. Newly made vehicles have pre-instalโ€ฆ

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Atropos: Improving Cost-Benefit Trade-off of LLM-based Agents under Self-Consistency with Early Termination and Model Hotswap

Naryeong Kim, Shin Yoo ยท 2026

Open-weight Small Language Models(SLMs) can provide faster local inference at lower financial cost, but may not achieve the same performance level as commercial Large Language Models (LLMs) that are oโ€ฆ

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Geo2Sound: A Scalable Geo-Aligned Framework for Soundscape Generation from Satellite Imagery

Kunlin Wu, Yanning Wang, Haofeng Tan, Boyi Chen, Teng Fei, Xianping Ma, Yang Yue, Zan Zhou, Xiaofeng Liu ยท 2026

Recent image-to-audio models have shown impressive performance on object-centric visual scenes. However, their application to satellite imagery remains limited by the complex, wide-area semantic ambigโ€ฆ

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Balancing Weights, Directed Sparsification, and Augmenting Paths

Jason Li ยท 2026

We present a randomized augmenting paths-based algorithm to compute the maximum flow in a directed, uncapacitated graph in almost $m+nF$ time, matching the algorithm of Karger and Levine for undirecteโ€ฆ

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EMGFlow: Robust and Efficient Surface Electromyography Synthesis via Flow Matching

Boxuan Jiang, Chenyun Dai, Can Han ยท 2026

Deep learning-based surface electromyography (sEMG) gesture recognition is frequently bottlenecked by data scarcity and limited subject diversity. While synthetic data generation via Generative Adversโ€ฆ

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Graph-Based ECO and Patch Generation for High-Level Synthesis

Alireza Azadi, Paul Rigge, Ethan Mahintorabi, Kenneth B. Kent ยท 2026

High-level synthesis (HLS) tools offer limited support for Engineering Change Orders (ECOs), making late-stage design modifications challenging and costly. This paper introduces a graph-based ECO methโ€ฆ

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Hyper Separation Logic (extended version)

Trayan Gospodinov, Peter Muller, Thibault Dardinier ยท 2026

Many important functional and security properties--including non-interference, determinism, and generalized non-interference (GNI)--are hyperproperties, i.e., properties relating multiple executions oโ€ฆ

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