Risultati della ricerca - decoding (algorithmicsics OR (algorithm OR (algorithmsssssics OR (algorithm OR algorithm))))

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

Sommario: “... 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 di Tan, Xiaofeng

Sommario: “... 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 di Duan, Shiyu, Zhang, Runsheng, Chen, Mengmeng, Wang, Ziyi, Wang, Shixiao

Sommario: “... 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 di Camps-Moreno, Eduardo, López, Hiram H., Matthews, Gretchen L., San-José, Rodrigo

Sommario: “... 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 di 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

Sommario: “... 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 di Park, Sungjin, Liu, Xiao, Gong, Yeyun, Choi, Edward

Sommario: “... 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 di Liu, Minghui, Rabbani, Tahseen, O'Halloran, Tony, Sankaralingam, Ananth, Hartley, Mary-Anne, Huang, Furong, Fermüller, Cornelia, Aloimonos, Yiannis

Sommario: “... 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 di Bai, Minhao, Yang, Jinshuai, Pang, Kaiyi, Huang, Yongfeng, Gao, Yue

Sommario: “... 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 di 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

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

Sommario: “... 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 di Chen, Shenghui, Zhao, Ruihan, Chinchali, Sandeep, Topcu, Ufuk

Sommario: “... 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 di De Filippo, Bruno, Amatetti, Carla, Vanelli-Coralli, Alessandro

Sommario: “... 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 di Wang, Zhicheng, Pan, Zhiyu, Peng, Zhan, Cheng, Jian, Xiao, Liwen, Jiang, Wei, Cao, Zhiguo

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

Sommario: “... 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 di Constantinou, Anthony C., Higgins, Nicholas, Kitson, Neville K.

Sommario: “.... 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 di Liu, Yi, Liu, Dianqing, Zhu, Mingye, Guo, Junbo, Zhang, Yongdong, Mao, Zhendong

Sommario: “... 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 di 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

Sommario: “...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 di Zhang, Bichen, Liu, Genyue, Bornet, Guillaume, Horvath, Sebastian P., Peng, Pai, Ma, Shuo, Huang, Shilin, Puri, Shruti, Thompson, Jeff D.

Sommario: “...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 di Cemri, Mert, Rajaraman, Nived, Tiwari, Rishabh, Liu, Xiaoxuan, Keutzer, Kurt, Stoica, Ion, Ramchandran, Kannan, Beirami, Ahmad, Sun, Ziteng

Sommario: “...{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 di Dong, Xin, Dong, Shichao, Wang, Jin, Huang, Jing, Zhou, Li, Sun, Zenghui, Jing, Lihua, Lan, Jingsong, Zhu, Xiaoyong, Zheng, Bo

Sommario: “... further propose \textbf{INTER}: \textbf{Inter}action Guidance Sampling, a novel training-free algorithm...”
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