Suchergebnisse - decoding (algorithm OR algorithmicsics)

  1. 1701

    The weight hierarchy of decreasing norm-trace codes von Camps-Moreno, Eduardo, López, Hiram H., Matthews, Gretchen L., San-José, Rodrigo

    Veröffentlicht 2024
    Inhaltsangabe: “… of type II, $t$-resilient functions, bounding the cardinality of the output in list decoding algorithms …”
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  2. 1702
  3. 1703

    Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning von Park, Sungjin, Liu, Xiao, Gong, Yeyun, Choi, Edward

    Veröffentlicht 2024
    Inhaltsangabe: “… reasoning benchmarks demonstrate that our approach outperforms both single language model decoding …”
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  4. 1704

    HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing von Liu, Minghui, Rabbani, Tahseen, O'Halloran, Tony, Sankaralingam, Ananth, Hartley, Mary-Anne, Huang, Furong, Fermüller, Cornelia, Aloimonos, Yiannis

    Veröffentlicht 2024
    Inhaltsangabe: “… significant GPU memory. In this work, we introduce HashEvict, an algorithm that uses locality-sensitive …”
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  5. 1705

    Shifting-Merging: Secure, High-Capacity and Efficient Steganography via Large Language Models von Bai, Minhao, Yang, Jinshuai, Pang, Kaiyi, Huang, Yongfeng, Gao, Yue

    Veröffentlicht 2025
    Inhaltsangabe: “… of ShiMer, we design a reordering algorithm to minimize the occurrence of interval splitting during decoding …”
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  6. 1706
  7. 1707

    Masked Generative Nested Transformers with Decode Time Scaling von Goyal, Sahil, Tula, Debapriya, Jain, Gagan, Shenoy, Pradeep, Jain, Prateek, Paul, Sujoy

    Veröffentlicht 2025
    Inhaltsangabe: “… computational efficiency. Most of these algorithms involve multiple passes over a transformer model to generate …”
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  8. 1708

    IG-MCTS: Human-in-the-Loop Cooperative Navigation under Incomplete Information von Chen, Shenghui, Zhao, Ruihan, Chinchali, Sandeep, Topcu, Ufuk

    Veröffentlicht 2025
    Inhaltsangabe: “… Information Gain Monte Carlo Tree Search (IG-MCTS), an online planning algorithm that jointly optimizes …”
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  9. 1709

    Uplink OFDM Channel Prediction with Hybrid CNN-LSTM for 6G Non-Terrestrial Networks von De Filippo, Bruno, Amatetti, Carla, Vanelli-Coralli, Alessandro

    Veröffentlicht 2025
    Inhaltsangabe: “… response (CFR) matrix in absence of pilots. The algorithm employs an encoder-decoder convolutional neural …”
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  10. 1710

    Exploring Contextual Attribute Density in Referring Expression Counting von Wang, Zhicheng, Pan, Zhiyu, Peng, Zhan, Cheng, Jian, Xiao, Liwen, Jiang, Wei, Cao, Zhiguo

    Veröffentlicht 2025
    Inhaltsangabe: “… Referring expression counting (REC) algorithms are for more flexible and interactive counting …”
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  11. 1711

    SINR: Sparsity Driven Compressed Implicit Neural Representations von Jayasundara, Dhananjaya, Rajagopalan, Sudarshan, Ranasinghe, Yasiru, Tran, Trac D., Patel, Vishal M.

    Veröffentlicht 2025
    Inhaltsangabe: “… coding schemes employed. In this paper, we introduce SINR, an innovative compression algorithm …”
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  12. 1712

    Decoding the mechanisms of the Hattrick football manager game using Bayesian network structure learning von Constantinou, Anthony C., Higgins, Nicholas, Kitson, Neville K.

    Veröffentlicht 2025
    Inhaltsangabe: “… . Hattrick's game-engine mechanics are partially hidden, and users have attempted to decode them …”
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  13. 1713

    Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models von Liu, Yi, Liu, Dianqing, Zhu, Mingye, Guo, Junbo, Zhang, Yongdong, Mao, Zhendong

    Veröffentlicht 2025
    Inhaltsangabe: “… algorithm with iterative token-level decoding to address the common first-token latency issue in comparable …”
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  14. 1714

    Mamba Drafters for Speculative Decoding von Choi, Daewon, Oh, Seunghyuk, Dingliwal, Saket, Tack, Jihoon, Kim, Kyuyoung, Song, Woomin, Kim, Seojin, Han, Insu, Shin, Jinwoo, Galstyan, Aram, Katiyar, Shubham, Bodapati, Sravan Babu

    Veröffentlicht 2025
    Inhaltsangabe: “… Speculative decoding has emerged as a promising approach to accelerating large language model (LLM …”
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  15. 1715

    Leveraging erasure errors in logical qubits with metastable $^{171}$Yb atoms von Zhang, Bichen, Liu, Genyue, Bornet, Guillaume, Horvath, Sebastian P., Peng, Pai, Ma, Shuo, Huang, Shilin, Puri, Shruti, Thompson, Jeff D.

    Veröffentlicht 2025
    Inhaltsangabe: “… Implementing large-scale quantum algorithms with practical advantage will require fault-tolerance …”
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  16. 1716

    $\texttt{SPECS}$: Faster Test-Time Scaling through Speculative Drafts von Cemri, Mert, Rajaraman, Nived, Tiwari, Rishabh, Liu, Xiaoxuan, Keutzer, Kurt, Stoica, Ion, Ramchandran, Kannan, Beirami, Ahmad, Sun, Ziteng

    Veröffentlicht 2025
    Inhaltsangabe: “… {SPECS}$, a latency-aware test-time scaling method inspired by speculative decoding. $\texttt{SPECS …”
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  17. 1717

    INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling von Dong, Xin, Dong, Shichao, Wang, Jin, Huang, Jing, Zhou, Li, Sun, Zenghui, Jing, Lihua, Lan, Jingsong, Zhu, Xiaoyong, Zheng, Bo

    Veröffentlicht 2025
    Inhaltsangabe: “… further propose \textbf{INTER}: \textbf{Inter}action Guidance Sampling, a novel training-free algorithm …”
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  18. 1718

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

    Veröffentlicht 2025
    Inhaltsangabe: “… . Unlike prior work that used custom architectures, our method employs a vanilla decoder-only Transformer …”
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  19. 1719

    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

    Veröffentlicht 2025
    Inhaltsangabe: “… . This poses challenges for efficient hardware implementation -- especially during the decode phase. This paper …”
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  20. 1720

    The dimension and Bose distance of some BCH codes of length $\frac{q^{m}-1}λ$ von Zheng, Run, Sze, Nung-Sing, Huang, Zejun

    Veröffentlicht 2025
    Inhaltsangabe: “… structure, multi-error correcting capability, and efficient decoding algorithms. Despite their practical …”
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