Risultati della ricerca - (endedededeendecoding OR (coding OR Decoding)) (algorithmics OR (algorithm OR algorithm))

DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling di Li, Boheng, Wang, Junjie, Li, Yiming, Hu, Zhiyang, Qi, Leyi, Dong, Jianshuo, Wang, Run, Qiu, Han, Qin, Zhan, Zhang, Tianwei

Sommario: “...-SPSA, an efficient optimization algorithm that provides stable gradient estimates through the long...”
Testo

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence di Gao, Huan-ang, Geng, Jiayi, Hua, Wenyue, Hu, Mengkang, Juan, Xinzhe, Liu, Hongzhang, Liu, Shilong, Qiu, Jiahao, Qi, Xuan, Wu, Yiran, Wang, Hongru, Xiao, Han, Zhou, Yuhang, Zhang, Shaokun, Zhang, Jiayi, Xiang, Jinyu, Fang, Yixiong, Zhao, Qiwen, Liu, Dongrui, Ren, Qihan, Qian, Cheng, Wang, Zhenhailong, Hu, Minda, Wang, Huazheng, Wu, Qingyun, Ji, Heng, Wang, Mengdi

Sommario: “...-time), and analyze the algorithmic and architectural designs that guide evolutionary adaptation (e.g...”
Testo

Comparing Knowledge Injection Methods for LLMs in a Low-Resource Regime di Abonizio, Hugo, Almeida, Thales, Lotufo, Roberto, Nogueira, Rodrigo

Sommario: “... augmentation algorithms to generate synthetic data to improve the knowledge acquisition capabilities. Our...”
Testo

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision di Xu, Huihui, Ye, Jin, Wang, Hongqiu, Ji, Changkai, Lin, Jiashi, Hu, Ming, Huang, Ziyan, Chen, Ying, Ma, Chenglong, Li, Tianbin, Liu, Lihao, He, Junjun, Zhu, Lei

Sommario: “... pseudo-mask algorithm, Fast Universal Agglomerative Pooling (UniAP). Each layer of UniAP can identify...”
Testo

The BSN Application-I: Photometric Light Curve Solutions of Contact Binary Systems di Paki, Ehsan, Poro, Atila, Rowzati, Minoo Dokht Moosavi

Sommario: “... contact binary system light curves, supporting photometric data, and employing an MCMC algorithm...”
Testo

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads di Chaudhari, Tejas, J., Akarsh, Dewangan, Tanushree, Lokhande, Mukul, Vishvakarma, Santosh Kumar

Sommario: “... (16,1) formats, with layer adaptive hybrid-algorithmic implementation supporting ultra-low bit precision...”
Testo

Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS di Jin, Can, Zhou, Yang, Zhang, Qixin, Peng, Hongwu, Zhang, Di, Dong, Zihan, Pavone, Marco, Han, Ligong, Hong, Zhang-Wei, Che, Tong, Metaxas, Dimitris N.

Sommario: “... results across eight benchmarks, including mathematics, scientific reasoning, and code generation...”
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SwiftF0: Fast and Accurate Monophonic Pitch Detection di Nieradzik, Lars

Sommario: “... on algorithmic estimators or laryngograph signals), we introduce \emph{SpeechSynth}. This synthetic speech...”
Testo

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures di Oliveira, Geraldo F.

Sommario: “... and arithmetic algorithm implementation for a given PUD instruction transparently to the programmer. Fourth, we...”
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Finding SSH Strict Key Exchange Violations by State Learning di Bäumer, Fabian, Maehren, Marcel, Brinkmann, Marcus, Schwenk, Jörg

Sommario: “... algorithms. In total, we learn 33 state machines, revealing significant differences in the implementations...”
Testo

SLasH-DSA: Breaking SLH-DSA Using an Extensible End-To-End Rowhammer Framework di Boy, Jeremy, Purnal, Antoon, Pätschke, Anna, Wilke, Luca, Eisenbarth, Thomas

Sommario: “... classical algorithms. Among them is the Stateless Hash-Based Digital Signature Algorithm (SLH-DSA...”
Testo

Non-Intrusive Parametrized-Background Data-Weak Reconstruction of Cardiac Displacement Fields from Sparse MRI-like Observations di Mantegazza, Francesco C., Caforio, Federica, Augustin, Christoph, Gsell, Matthias A. F., Haase, Gundolf, Karabelas, Elias

Sommario: “..., assembly routines, or solver access -- enabling immediate deployment across commercial and research codes...”
Testo

PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models di Xiao, He, Yang, Runming, Yang, Qingyao, Xu, Wendong, Li, Zhen, Su, Yupeng, Liu, Zhengwu, Yang, Hongxia, Wong, Ngai

Sommario: “... progressive approximation algorithm ensuring global weight consistency; (2) model-agnostic deployment without...”
Testo

When Ads Become Profiles: Uncovering the Invisible Risk of Web Advertising at Scale with LLMs di Chen, Baiyu, Tag, Benjamin, Xue, Hao, Angus, Daniel, Salim, Flora

Sommario: “...Regulatory limits on explicit targeting have not eliminated algorithmic profiling on the Web...”
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HEAPr: Hessian-based Efficient Atomic Expert Pruning in Output Space di Li, Ke, Yang, Zheng, Zhou, Zhongbin, Xue, Feng, Jiang, Zhonglin, Wang, Wenxiao

Sommario: “.... In this work, we introduce HEAPr, a novel pruning algorithm that decomposes experts into smaller, indivisible...”
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Explore-Execute Chain: Towards an Efficient Structured Reasoning Paradigm di Yang, Kaisen, He, Lixuan, Shah, Rushi, Yang, Kaicheng, Ma, Qinwei, Liu, Dianbo, Lamb, Alex

Sommario: “... algorithm enforcing strict plan adherence - with a subsequent Reinforcement Learning (RL) stage...”
Testo

ELMF4EggQ: Ensemble Learning with Multimodal Feature Fusion for Non-Destructive Egg Quality Assessment di Hassan, Md Zahim, Osama, Md., Kabir, Muhammad Ashad, Islam, Md. Saiful, Naim, Zannatul

Sommario: “... augmentation, and classification using multiple machine learning algorithms. An ensemble voting mechanism...”
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ViTs: Teaching Machines to See Time Series Anomalies Like Human Experts di Wang, Zexin, Pei, Changhua, Liu, Yang, Jiang, Hengyue, Zhou, Quan, Si, Haotian, Cui, Hang, Li, Jianhui, Xie, Gaogang, Li, Jingjing, Pei, Dan

Sommario: “... of aligned time series image-text data. To overcome this, we employ an evolutionary algorithm...”
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AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs di Park, Gunho, Bae, Jeongin, Kwon, Beomseok, Kim, Byeongwook, Kwon, Se Jung, Lee, Dongsoo

Sommario: “... while reusing previously assigned binary codes, yielding monotonic improvements in accuracy...”
Testo

MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking di Li, Tianhao, Xu, Tingfa, Wang, Ying, Qin, Haolin, Lin, Xu, Li, Jianan

Sommario: “... occlusions, and cluttered backgrounds. Existing RGB-based tracking algorithms heavily depend on spatial...”
Testo