Suchergebnisse - decoding (Algorithmsssics OR (algorithm OR (algorithm OR algorithm)))

Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error von Giannoulis, Panagiotis, Pantis, Yorgos, Tzamos, Christos

Inhaltsangabe: “… . Unlike prior work that used custom architectures, our method employs a vanilla decoder-only Transformer …”
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AMLA: MUL by ADD in FlashAttention Rescaling von Liao, Qichen, Hu, Chengqiu, Miao, Fangzheng, Li, Bao, Liu, Yiyang, Lyu, Junlong, Jiang, Lirui, Wang, Jun, Zheng, Lingchao, Li, Jun, Fan, Yuwei

Inhaltsangabe: “… . This poses challenges for efficient hardware implementation -- especially during the decode phase. This paper …”
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The dimension and Bose distance of some BCH codes of length $\frac{q^{m}-1}λ$ von Zheng, Run, Sze, Nung-Sing, Huang, Zejun

Inhaltsangabe: “… structure, multi-error correcting capability, and efficient decoding algorithms. Despite their practical …”
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Not every day is a sunny day: Synthetic cloud injection for deep land cover segmentation robustness evaluation across data sources von Mobsite, Sara, Hostache, Renaud, Equille, Laure Berti, Roux, Emmanuel, Guerin, Joris

Inhaltsangabe: “… cloud injection algorithm that simulates realistic cloud cover, allowing us to test how Sentinel-1 radar …”
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To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable Reinforcement Learning von Song, Yuda, Rohatgi, Dhruv, Singh, Aarti, Bagnell, J. Andrew

Inhaltsangabe: “… simulated locomotion tasks--we investigate the algorithmic trade-off between privileged expert distillation …”
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Robust Analog Lagrange Coded Computing: Theory and Algorithms via Discrete Fourier Transforms von Borah, Rimpi, Harshan, J.

Inhaltsangabe: “… foundational step, we use error-correction algorithms for Discrete Fourier Transform (DFT) codes to build novel …”
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Understanding and Improving Communication Performance in Multi-node LLM Inference von Singhania, Prajwal, Singh, Siddharth, Hough, Lannie Dalton, Srivastava, Akarsh, Menon, Harshitha, Jekel, Charles Fredrick, Bhatele, Abhinav

Inhaltsangabe: “… hierarchical all-reduce algorithm based on recursive doubling with NVSHMEM. NVRAR achieves up to 1.9$\times …”
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On the Information-Theoretic Fragility of Robust Watermarking under Diffusion Editing von Ni, Yunyi, Yang, Ziyu, Niu, Ze, Davis, Emily, Carter, Finn

Inhaltsangabe: “… the watermarked image and the embedded payload approaches zero, causing watermark decoding to fail. We further …”
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$A^3$: Attention-Aware Accurate KV Cache Fusion for Fast Large Language Model Serving von Zhou, Yuechi, Su, Yi, Zhang, Jianxin, Li, Juntao, Xia, Qingrong, Wang, Zhefeng, Duan, Xinyu, Huai, Baoxing

Inhaltsangabe: “… their ability to handle long sequences, the resulting decoding latency and memory overhead remain substantial …”
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Doppler Robust Vortex Wavefront Design for Integrated Sensing and Communication von Liu, Yuan, Long, Wen-Xuan, Shankar, M. R. Bhavani, Moretti, Marco, Chen, Rui, Ottersten, Björn

Inhaltsangabe: “… -consistency matching (VCM)-expectation maximization (EM) algorithm that jointly decodes the sensing matrix …”
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T2M Mamba: Motion Periodicity-Saliency Coupling Approach for Stable Text-Driven Motion Generation von Zhan, Xingzu, Xie, Chen, Chen, Honghang, Lin, Yixun, Mai, Xiaochun

Inhaltsangabe: “… through the decoder and producing unstable or erroneous motions. In this work, we propose T2M Mamba …”
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Learning to Solve Orienteering Problem with Time Windows and Variable Profits von Gao, Songqun, Ruan, Zanxi, Floor, Patrick, Roveri, Marco, Palopoli, Luigi, Fontanelli, Daniele

Inhaltsangabe: “… . In the first stage, a parallel decoding structure is employed to predict the path and the initial service time …”
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ScoutAttention: Efficient KV Cache Offloading via Layer-Ahead CPU Pre-computation for LLM Inference von Zhang, Qiuyang, Zhou, Kai, Tang, Ding, Lu, Kai, Li, Cheng, Yang, Zhenyu, Xu, Peng, Wan, Jiguang

Inhaltsangabe: “… inference, where KV cache memory consumption severely limits decode batch sizes. While existing research has …”
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Minimal Prompt Perturbations Lead to Code Vulnerabilities: Prompt Fragility and Hidden-State Signals in Coding LLMs von Sternfeld, Alexander, Kucharavy, Andrei, Dolamic, Ljiljana

Inhaltsangabe: “… such as a weak algorithm or unsafe parameter (mean AUC 0.674). These results show that the threat model …”
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Enhancing secrecy in RIS–fountain code‐aided multi‐cluster satellite–terrestrial NOMA networks under eavesdropping threats von Nguyen Van Toan, Pham Ngoc Son, Tran Trung Duy, Lam‐Thanh Tu

Inhaltsangabe: “… to terrestrial relays, where the best relay selected using the PRS algorithm employs the decode‐and‐forward …”
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Human Motor Cortex Encodes Complex Handwriting Through a Sequence of Stable Neural States: Source code von Qi, Yu, Zhu, Xinyun, Xiong, Xinzhu

Inhaltsangabe: “… States". It contains the implemenation of the Temporal Functional Clustering (TFC) algorithm …”
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Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network von Mo, Baichuan, Wang, Qing Yi, Guo, Xiaotong, Winkenbach, Matthias, Zhao, Jinhua

Inhaltsangabe: “… . In addition to the commonly used encoder-decoder architecture for sequence-to-sequence prediction, we propose …”
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GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems von Wang, Zhenwei, Bai, Ruibin, Khan, Fazlullah, Ozcan, Ender, Zhang, Tiehua

Inhaltsangabe: “… in an encoder-decoder style. Such an approach makes it possible to solve routing problems end-to-end without …”
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A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention von Lee, Heejun, Park, Geon, Lee, Youngwan, Suh, Jaduk, Kim, Jina, Jeong, Wonyoung, Kim, Bumsik, Lee, Hyemin, Jeon, Myeongjae, Hwang, Sung Ju

Inhaltsangabe: “… algorithm that estimates the top-$k$ key tokens for a given query on the fly, which is mathematically …”
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Attention-based SIC Ordering and Power Allocation for Non-orthogonal Multiple Access Networks von Huang, Liang, Zhu, Bincheng, Nan, Runkai, Chi, Kaikai, Wu, Yuan

Inhaltsangabe: “… (SIC) plays a crucial role in decoding user signals sequentially. The challenge lies in the joint …”
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