Résultats de la recherche - coding (algorithm OR (algorithmics OR Algorithmsics))

Decoding-Time Language Model Alignment with Multiple Objectives par Shi, Ruizhe, Chen, Yifang, Hu, Yushi, Liu, Alisa, Hajishirzi, Hannaneh, Smith, Noah A., Du, Simon S.

Table des matières: “…-objective decoding (MOD)}$, a decoding-time algorithm that outputs the next token from a linear combination…”
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M${}^2$NuFFT: A Computationally Efficient Suboptimal Power Spectrum Estimator for Fast Exploration of Nonuniformly Sampled Time Series par Cui, Jie, Brinkmann, Benjamin H., Worrell, Gregory A.

Table des matières: “… reduces computational burden while maintaining statistical efficiency. The algorithm partitions the signal…”
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The Chandra Source Catalog Release 2 Series par Evans, Ian N., Evans, Janet D., Martínez-Galarza, J. Rafael, Miller, Joseph B., Primini, Francis A., Azadi, Mojegan, Burke, Douglas J., Civano, Francesca M., D'Abrusco, Raffaele, Fabbiano, Giuseppina, Graessle, Dale E., Grier, John D., Houck, John C., Lauer, Jennifer, McCollough, Michael L., Nowak, Michael A., Plummer, David A., Rots, Arnold H., Siemiginowska, Aneta, Tibbetts, Michael S.

Table des matières: “… source samples. We discuss in detail the algorithms used for the CSC Release 2 Series, including CSC 2.0…”
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On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification par Prakash, Jatin, Buvanesh, Anirudh, Santra, Bishal, Saini, Deepak, Yadav, Sachin, Jiao, Jian, Prabhu, Yashoteja, Sharma, Amit, Varma, Manik

Table des matières: “… document set. XC algorithms used in real-world applications learn this mapping from datasets curated from…”
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MADNESS Deblender: Maximum A posteriori with Deep NEural networks for Source Separation par Biswas, Biswajit, Aubourg, Eric, Boucaud, Alexandre, Guinot, Axel, Lao, Junpeng, Roucelle, Cécile, Collaboration, the LSST Dark Energy Science

Table des matières: “… residual systematic effect. Deblending algorithms tackle this issue by reconstructing the isolated…”
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HybridFlow: A Flexible and Efficient RLHF Framework par Sheng, Guangming, Zhang, Chi, Ye, Zilingfeng, Wu, Xibin, Zhang, Wang, Zhang, Ru, Peng, Yanghua, Lin, Haibin, Wu, Chuan

Table des matières: “…, allowing efficient operation orchestration to implement RLHF algorithms and flexible mapping…”
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Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding par Teng, Yao, Shi, Han, Liu, Xian, Ning, Xuefei, Dai, Guohao, Wang, Yu, Li, Zhenguo, Liu, Xihui

Table des matières: “… in substantial time consumption. In existing studies, Jacobi decoding, an iterative parallel decoding algorithm…”
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Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification par Luo, Yihong, Chen, Yuhan, Qiu, Siya, Wang, Yiwei, Zhang, Chen, Zhou, Yan, Cao, Xiaochun, Tang, Jing

Table des matières: “… to the base optimizer (e.g., Adam). To mitigate this drawback, we introduce a novel algorithm, Fast Graph…”
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Layered LA-MAPF: a decomposition of large agent MAPF instance to accelerate solving without compromising solvability par Yao, Zhuo

Table des matières: “… MAPF algorithms assume that an agent occupies only a single grid in a grid-based map. This assumption…”
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GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks par Liang, Ruihuai, Yang, Bo, Chen, Pengyu, Cao, Xuelin, Yu, Zhiwen, Debbah, Mérouane, Niyato, Dusit, Poor, H. Vincent, Yuen, Chau

Table des matières: “… training datasets. The MSCO datasets has open-sourced at this http URL, as well as the GDSG algorithm codes…”
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Natural Language Fine-Tuning par Liu, Jia, Wang, Yue, Lin, Zhiqi, Chen, Min, Hao, Yixue, Hu, Long

Table des matières: “… reinforcement fine-tuning algorithms in accuracy, time-saving, and resource conservation. Additionally…”
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SEDD: Scalable and Efficient Dataset Deduplication with GPUs par Son, Youngjun, Kim, Chaewon, Lee, Jaejin

Table des matières: “… is the MinHash Locality-Sensitive Hashing (LSH) algorithm. Recently, GPU-accelerated frameworks such as NVIDIA…”
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Fast and Accurate Identification of Hardware Trojan Locations in Gate-Level Netlist using Nearest Neighbour Approach integrated with Machine Learning Technique par Chattopadhyay, Anindita, Bisariya, Siddharth, Sutrakar, Vijay Kumar

Table des matières: “…. By focusing on path retrace algorithms. The methodology is validated across three distinct cases, each…”
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Pre-Equalization Aided Grant-Free Massive Access in Massive MIMO System par Wang, Yueqing, Mei, Yikun, Gao, Zhen, Wan, Ziwei, Ning, Boyu, Mi, De, Muhaidat, Sami

Table des matières: “… iterative detection algorithm, which consists of three modules: coarse data detection (DD), data-aided…”
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Architecture-Aware Minimization (A$^2$M): How to Find Flat Minima in Neural Architecture Search par Gambella, Matteo, Pittorino, Fabrizio, Roveri, Manuel

Table des matières: “… novel analytically derived algorithmic framework that explicitly biases, for the first time…”
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HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference par Zhong, Shuzhang, Sun, Yanfan, Liang, Ling, Wang, Runsheng, Huang, Ru, Li, Meng

Table des matières: “… prefetching algorithm, and (iii) a score-based caching algorithm to mitigate expert activation instability. We…”
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Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? par Yue, Yang, Chen, Zhiqi, Lu, Rui, Zhao, Andrew, Wang, Zhaokai, Yue, Yang, Song, Shiji, Huang, Gao

Table des matières: “… algorithms, and math, coding, and visual reasoning benchmarks, using pass@k at large k values…”
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Adversarial Attack for RGB-Event based Visual Object Tracking par Chen, Qiang, Wang, Xiao, Wang, Haowen, Jiang, Bo, Zhu, Lin, Zhang, Dawei, Tian, Yonghong, Tang, Jin

Table des matières: “… stream tracking algorithms, yet research in this area remains relatively scarce. To bridge this gap…”
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Transforming faces into video stories -- VideoFace2.0 par Brkljač, Branko, Kalušev, Vladimir, Popović, Branislav, Sečujski, Milan

Table des matières: “… applicability of the proposed face ReID algorithm that is combining the concepts of face detection, face…”
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Dynamic Graph-based Fingerprinting of In-browser Cryptomining par Sermchaiwong, Tanapoom, Shen, Jiasi

Table des matières: “…, and due to the limited variety of cryptomining scripts in the wild, standard code obfuscation methods…”
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