Résultats de la recherche - decoding (algorithmics OR (algorithm OR (algorithm OR algorithm)))

EcoServe: Enabling Cost-effective LLM Serving with Proactive Intra- and Inter-Instance Orchestration par Du, Jiangsu, Zhang, Hongbin, Wei, Taosheng, Zheng, Zhenyi, Wu, Kaiyi, Chen, Zhiguang, Lu, Yutong

Table des matières: “…Existing LLM serving strategies can be categorized based on whether prefill and decode phases…”
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AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models par Mukhopadhyay, Snehasis, Kasat, Aryan, Dubey, Shivam, Karthikeyan, Rahul, Sood, Dhruv, Jain, Vinija, Chadha, Aman, Das, Amitava

Table des matières: “… speculative decoding algorithm that proactively reduces casteist and communal bias during generation…”
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GapDNER: A Gap-Aware Grid Tagging Model for Discontinuous Named Entity Recognition par Yang, Yawen, Ma, Fukun, Meng, Shiao, Liu, Aiwei, Wen, Lijie

Table des matières: “… or internal tokens, which face challenges of error propagation and decoding ambiguity due to the wide variety…”
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Semantic representations emerge in biologically inspired ensembles of cross-supervising neural networks par Urbach, Roy, Schneidman, Elad

Table des matières: “… or decoding, but typically rely on biologically-implausible implementations. We suggest that interactions…”
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Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding par Reisizadeh, Hadi, Ruan, Jiajun, Chen, Yiwei, Pal, Soumyadeep, Liu, Sijia, Hong, Mingyi

Table des matières: “… deterministic (greedy) decoding often suggest successful knowledge removal using standard benchmarks, we show…”
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Support Recovery in One-bit Compressed Sensing with Near-Optimal Measurements and Sublinear Time par Li, Xiaxin, Mazumdar, Arya

Table des matières: “… methods minimize the number of measurements but often incur $Ω(n)$ decoding complexity, limiting large…”
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AI/ML based Joint Source and Channel Coding for HARQ-ACK Payload par Doshi, Akash, Sen, Pinar, Ivanov, Kirill, Yang, Wei, Namgoong, June, Wang, Runxin, Wang, Rachel, Yoo, Taesang, Jiang, Jing, Ji, Tingfang

Table des matières: “…, we learn a transformer-based encoder using a novel "free-lunch" training algorithm and propose per…”
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Toward Robust, Reproducible, and Widely Accessible Intracranial Language Brain-Computer Interfaces: A Comprehensive Review of Neural Mechanisms, Hardware, Algorithms, Evaluation, C... par He, Dongyi, Siok, Wai Ting, Wang, Nizhuan

Table des matières: “… by fragmented evidence and unresolved design trade-offs across neuroscience, hardware, algorithm, evaluation…”
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Polar Complexity: A New Descriptive Complexity with Applications to Source and Joint Source-Channel Coding par Yao, Xinyuanmeng, Ma, Xiao

Table des matières: “… compression and successive cancellation decoding (SCD), and define the polar complexity of a sequence…”
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KVDrive: A Holistic Multi-Tier KV Cache Management System for Long-Context LLM Inference par Lin, Jian, Mi, Jiazhi, Hong, Zicong, Wang, Haodong, Liu, Qianli, Zhang, Haodyue, Li, Peng, Guo, Song

Table des matières: “… critical entries during decoding, but this strategy quickly hits a ceiling: sparsity cannot be pushed…”
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Shared autonomy between human electroencephalography and TD3 deep reinforcement learning: A multi‐agent copilot approach par Chun‐Ren Phang, Akimasa Hirata

Table des matières: “… Deep reinforcement learning (RL) algorithms enable the development of fully autonomous agents that can…”
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Roll Out and Roll Back: Diffusion LLMs are Their Own Efficiency Teachers par Zeng, Fanqin, Hong, Feng, Yu, Geng, Zheng, Huangjie, Cao, Xiaofeng, Zhang, Ya, Han, Bo, Wang, Yanfeng, Yao, Jiangchao

Table des matières: “… still face a severe quality-speed trade-off: accelerating decoding by revealing multiple tokens often…”
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A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data par Zheng, Shengjie, Li, Wenyi, Qian, Lang, He, Chenggang, Li, Xiaojian

Table des matières: “… of the algorithms oriented to general artifi-cial intelligence because it borrows the neural information processing…”
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Asynchronous Multiuser Detection for SCMA with Unknown Delays: A Compressed Sensing Approach par Wheeler, Dylan, Tripp, Erin E., Natarajan, Balasubramaniam

Table des matières: “… access system. The proposed technique can be used with nearly all of the numerous decoding algorithms…”
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Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation par Yamamori, Satoshi, Morimoto, Jun

Table des matières: “…In this study, we propose a multitask reinforcement learning algorithm for foundational policy…”
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One-Bit-Aided Modulo Sampling for DOA Estimation par Zhang, Qi, Zhu, Jiang, Qu, Fengzhong, Soh, De Wen

Table des matières: “…. The estimate of the normalized covariance matrix is used to implement blind integer-forcing (BIF) decoder…”
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Optimal Construction of N-bit-delay Almost Instantaneous Fixed-to-Variable-Length Codes par Sugiura, Ryosuke, Nishino, Masaaki, Yasuda, Norihito, Kamamoto, Yutaka, Moriya, Takehiro

Table des matières: “…-length (AIFV) codes, the general form of binary codes we can make when finite bits of decoding delay…”
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Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments par Zhu, Liyuan, Huang, Shengyu, Schindler, Konrad, Armeni, Iro

Table des matières: “… representation in a single encoder-decoder network, trained on synthetic data. This representation enables us…”
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Secure ISAC MIMO Systems: Exploiting Interference With Bayesian Cramér-Rao Bound Optimization par Su, Nanchi, Liu, Fan, Masouros, Christos, Alexandropoulos, George C., Xiong, Yifeng, Zhang, Qinyu

Table des matières: “… their decoding probability, thus enhancing the ISAC's system physical-layer security (PLS) capability. To tackle…”
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MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model par Li, Chunyi, Lu, Guo, Feng, Donghui, Wu, Haoning, Zhang, Zicheng, Liu, Xiaohong, Zhai, Guangtao, Lin, Weisi, Zhang, Wenjun

Table des matières: “… become a highly demanding topic. However, existing compression algorithms must sacrifice either…”
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