Search Results - decoding (algorithmssics OR (algorithm OR (algorithm OR algorithm)))

EEG-EMG FAConformer: Frequency Aware Conv-Transformer for the fusion of EEG and EMG by He, ZhengXiao, Cai, Minghong, Li, Letian, Tian, Siyuan, Dai, Ren-Jie

Table of Contents: “… significant for decoding motor patterns. Therefore, we introduce a multimodal motion pattern recognition…”
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A Transformer Based Generative Chemical Language AI Model for Structural Elucidation of Organic Compounds by Tan, Xiaofeng

Table of Contents: “… have relied on complex expert systems with explicitly programmed algorithms. These systems are often…”
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Efficient and Aesthetic UI Design with a Deep Learning-Based Interface Generation Tree Algorithm by Duan, Shiyu, Zhang, Runsheng, Chen, Mengmeng, Wang, Ziyi, Wang, Shixiao

Table of Contents: “… patterns and long-range dependencies, we propose a Transformer-based interface generation tree algorithm…”
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The weight hierarchy of decreasing norm-trace codes by Camps-Moreno, Eduardo, López, Hiram H., Matthews, Gretchen L., San-José, Rodrigo

Table of Contents: “… of type II, $t$-resilient functions, bounding the cardinality of the output in list decoding algorithms…”
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Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion by Zhu, Jianqing, Huang, Huang, Lin, Zhihang, Liang, Juhao, Tang, Zhengyang, Almubarak, Khalid, Alharthik, Abdulmohsen, An, Bang, He, Juncai, Wu, Xiangbo, Yu, Fei, Chen, Junying, Ma, Zhuoheng, Du, Yuhao, Zhang, He, Alghamdi, Emad A., Zhang, Lian, Sun, Ruoyu, Li, Haizhou, Wang, Benyou, Xu, Jinchao

Table of Contents: “… for the tokenizer that could speed up decoding. However, using a different vocabulary often leads to a degradation…”
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Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning by Park, Sungjin, Liu, Xiao, Gong, Yeyun, Choi, Edward

Table of Contents: “… reasoning benchmarks demonstrate that our approach outperforms both single language model decoding…”
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HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing by Liu, Minghui, Rabbani, Tahseen, O'Halloran, Tony, Sankaralingam, Ananth, Hartley, Mary-Anne, Huang, Furong, Fermüller, Cornelia, Aloimonos, Yiannis

Table of Contents: “… significant GPU memory. In this work, we introduce HashEvict, an algorithm that uses locality-sensitive…”
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Shifting-Merging: Secure, High-Capacity and Efficient Steganography via Large Language Models by Bai, Minhao, Yang, Jinshuai, Pang, Kaiyi, Huang, Yongfeng, Gao, Yue

Table of Contents: “… of ShiMer, we design a reordering algorithm to minimize the occurrence of interval splitting during decoding…”
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Realizing Lattice Surgery on Two Distance-Three Repetition Codes with Superconducting Qubits by Besedin, Ilya, Kerschbaum, Michael, Knoll, Jonathan, Hesner, Ian, Bödeker, Lukas, Colmenarez, Luis, Hofele, Luca, Lacroix, Nathan, Hellings, Christoph, Swiadek, François, Flasby, Alexander, Panah, Mohsen Bahrami, Zanuz, Dante Colao, Müller, Markus, Wallraff, Andreas

Table of Contents: “… executing algorithms using hundreds of logical qubits. Recent experiments have demonstrated subthreshold…”
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Masked Generative Nested Transformers with Decode Time Scaling by Goyal, Sahil, Tula, Debapriya, Jain, Gagan, Shenoy, Pradeep, Jain, Prateek, Paul, Sujoy

Table of Contents: “… computational efficiency. Most of these algorithms involve multiple passes over a transformer model to generate…”
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IG-MCTS: Human-in-the-Loop Cooperative Navigation under Incomplete Information by Chen, Shenghui, Zhao, Ruihan, Chinchali, Sandeep, Topcu, Ufuk

Table of Contents: “… Information Gain Monte Carlo Tree Search (IG-MCTS), an online planning algorithm that jointly optimizes…”
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Uplink OFDM Channel Prediction with Hybrid CNN-LSTM for 6G Non-Terrestrial Networks by De Filippo, Bruno, Amatetti, Carla, Vanelli-Coralli, Alessandro

Table of Contents: “… response (CFR) matrix in absence of pilots. The algorithm employs an encoder-decoder convolutional neural…”
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Exploring Contextual Attribute Density in Referring Expression Counting by Wang, Zhicheng, Pan, Zhiyu, Peng, Zhan, Cheng, Jian, Xiao, Liwen, Jiang, Wei, Cao, Zhiguo

Table of Contents: “…Referring expression counting (REC) algorithms are for more flexible and interactive counting…”
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SINR: Sparsity Driven Compressed Implicit Neural Representations by Jayasundara, Dhananjaya, Rajagopalan, Sudarshan, Ranasinghe, Yasiru, Tran, Trac D., Patel, Vishal M.

Table of Contents: “… coding schemes employed. In this paper, we introduce SINR, an innovative compression algorithm…”
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Decoding the mechanisms of the Hattrick football manager game using Bayesian network structure learning by Constantinou, Anthony C., Higgins, Nicholas, Kitson, Neville K.

Table of Contents: “…. Hattrick's game-engine mechanics are partially hidden, and users have attempted to decode them…”
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Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models by Liu, Yi, Liu, Dianqing, Zhu, Mingye, Guo, Junbo, Zhang, Yongdong, Mao, Zhendong

Table of Contents: “… algorithm with iterative token-level decoding to address the common first-token latency issue in comparable…”
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Mamba Drafters for Speculative Decoding by 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

Table of Contents: “…Speculative decoding has emerged as a promising approach to accelerating large language model (LLM…”
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Leveraging erasure errors in logical qubits with metastable $^{171}$Yb atoms by Zhang, Bichen, Liu, Genyue, Bornet, Guillaume, Horvath, Sebastian P., Peng, Pai, Ma, Shuo, Huang, Shilin, Puri, Shruti, Thompson, Jeff D.

Table of Contents: “…Implementing large-scale quantum algorithms with practical advantage will require fault-tolerance…”
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$\texttt{SPECS}$: Faster Test-Time Scaling through Speculative Drafts by Cemri, Mert, Rajaraman, Nived, Tiwari, Rishabh, Liu, Xiaoxuan, Keutzer, Kurt, Stoica, Ion, Ramchandran, Kannan, Beirami, Ahmad, Sun, Ziteng

Table of Contents: “…{SPECS}$, a latency-aware test-time scaling method inspired by speculative decoding. $\texttt{SPECS…”
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INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling by Dong, Xin, Dong, Shichao, Wang, Jin, Huang, Jing, Zhou, Li, Sun, Zenghui, Jing, Lihua, Lan, Jingsong, Zhu, Xiaoyong, Zheng, Bo

Table of Contents: “… further propose \textbf{INTER}: \textbf{Inter}action Guidance Sampling, a novel training-free algorithm…”
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