Risultati della ricerca - (decoding OR coding) (Algorithmsssicics OR (algorithm OR (algorithm OR algorithm)))

Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars di Wu, Zhaoxuan, Lin, Xiaoqiang, Dai, Zhongxiang, Hu, Wenyang, Shu, Yao, Ng, See-Kiong, Jaillet, Patrick, Low, Bryan Kian Hsiang

Sommario: “... language model to represent ordered sets of exemplars and uses a neural bandit algorithm to optimize...”
Testo

LSPI: Heterogeneous Graph Neural Network Classification Aggregation Algorithm Based on Size Neighbor Path Identification di Zhao, Yufei, Wang, Shiduo, Duan, Hua

Sommario: “...Existing heterogeneous graph neural network algorithms (HGNNs) mostly rely on meta-paths to capture...”
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Self-Exploring Language Models: Active Preference Elicitation for Online Alignment di Zhang, Shenao, Yu, Donghan, Sharma, Hiteshi, Zhong, Han, Liu, Zhihan, Yang, Ziyi, Wang, Shuohang, Hassan, Hany, Wang, Zhaoran

Sommario: “... function, the resulting algorithm, named Self-Exploring Language Models (SELM), eliminates the need for a...”
Testo

LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking di Zeng, Yifan, Tendolkar, Ojas, Baartmans, Raymond, Wu, Qingyun, Chen, Lizhong, Wang, Huazheng

Sommario: “... LLMs for a pairwise or setwise comparison which often relies on sorting algorithms. However, sorting...”
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Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks di Wang, Cong, Wang, Wei, Yu, Chengjin, Mu, Jie

Sommario: “... algorithm performs favorably against eight state-of-the-art methods on five public synthetic datasets...”
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Scaffold Splits Overestimate Virtual Screening Performance di Guo, Qianrong, Hernandez-Hernandez, Saiveth, Ballester, Pedro J

Sommario: “... of the 2100 models trained and evaluated for each algorithm and split. These robust results demonstrate...”
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Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images di Pu, Xinyang, Xu, Feng

Sommario: “... object detection algorithm architecture. This strategy enables model performance improvements close...”
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ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search di Zhang, Dan, Zhoubian, Sining, Hu, Ziniu, Yue, Yisong, Dong, Yuxiao, Tang, Jie

Sommario: “... language models for multiple iterations, and outperform other self-training algorithms such as ReST$^\text...”
Testo

SMART: Scene-motion-aware human action recognition framework for mental disorder group di Lai, Zengyuan, Yang, Jiarui, Xia, Songpengcheng, Wu, Qi, Sun, Zhen, Yu, Wenxian, Pei, Ling

Sommario: “...) for these actions is hindered by the lack of specialized algorithms and datasets. In this paper, we innovatively...”
Testo

Concept Drift Detection using Ensemble of Integrally Private Models di Varshney, Ayush K., Torra, Vicenc

Sommario: “...Deep neural networks (DNNs) are one of the most widely used machine learning algorithm. DNNs...”
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Evaluating LLM-driven User-Intent Formalization for Verification-Aware Languages di Lahiri, Shuvendu K.

Sommario: “... specification can be defined mechanically, there is no algorithmic way of ensuring the correctness...”
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ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model di Zhang, Song, Wang, Qingzhong, Liu, Junyi, Xiong, Haoyi

Sommario: “... clustering algorithms with SAM and novel pseudo-label alignment significantly enhances RS segmentation...”
Testo

New Solutions on LLM Acceleration, Optimization, and Application di Huang, Yingbing, Wan, Lily Jiaxin, Ye, Hanchen, Jha, Manvi, Wang, Jinghua, Li, Yuhong, Zhang, Xiaofan, Chen, Deming

Sommario: “... the efficiency of LLM-based systems. We begin by discussing algorithm-level acceleration techniques focused...”
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When Box Meets Graph Neural Network in Tag-aware Recommendation di Lin, Fake, Zhao, Ziwei, Zhu, Xi, Zhang, Da, Shen, Shitian, Li, Xueying, Xu, Tong, Zhang, Suojuan, Chen, Enhong

Sommario: “.... To deal with this challenge, in this paper, we propose a novel algorithm, called BoxGNN, to perform...”
Testo

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs di Zhang, Jiasheng, Chen, Jialin, Yang, Menglin, Feng, Aosong, Liang, Shuang, Shao, Jie, Ying, Rex

Sommario: “... experiments on DTGB, evaluating 7 popular dynamic graph learning algorithms and their variants of adapting...”
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How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification di Jamali, Ali, Roy, Swalpa Kumar, Hong, Danfeng, Lu, Bing, Ghamisi, Pedram

Sommario: “... these benchmark datasets over several other CNN- and ViT-based algorithms, including 1D-CNN, 2DCNN, 3D CNN, VGG-16...”
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BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions di Zhuo, Terry Yue, Vu, Minh Chien, Chim, Jenny, Hu, Han, Yu, Wenhao, Widyasari, Ratnadira, Yusuf, Imam Nur Bani, Zhan, Haolan, He, Junda, Paul, Indraneil, Brunner, Simon, Gong, Chen, Hoang, Thong, Zebaze, Armel Randy, Hong, Xiaoheng, Li, Wen-Ding, Kaddour, Jean, Xu, Ming, Zhang, Zhihan, Yadav, Prateek, Jain, Naman, Gu, Alex, Cheng, Zhoujun, Liu, Jiawei, Liu, Qian, Wang, Zijian, Hui, Binyuan, Muennighoff, Niklas, Lo, David, Fried, Daniel, Du, Xiaoning, de Vries, Harm, Von Werra, Leandro

Sommario: “...) via Python code, where the tasks ranging from software engineering development to general-purpose...”
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$\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning di Xu, Feng, Yin, Yan, Zhang, Xinyu, Liu, Tianyuan, Jiang, Shengyi, Zhang, Zongzhang

Sommario: “... algorithm guided by DRL navigates through the search space based on value estimates for potential alpha...”
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Staging Blocked Evaluation over Structured Sparse Matrices di Das, Pratyush, Basareh, Amirhossein, Dias, Adhitha, Pelenitsyn, Artem, Sundararajah, Kirshanthan, Kulkarni, Milind, Delaware, Ben

Sommario: “... of nonzero elements. Storing such matrices in specialized sparse formats enables algorithms that avoid...”
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Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound images di Li, Hao, Oguz, Baris, Arenas, Gabriel, Yao, Xing, Wang, Jiacheng, Pouch, Alison, Byram, Brett, Schwartz, Nadav, Oguz, Ipek

Sommario: “.... Automated segmentation algorithms can often successfully segment the placenta, but these methods may...”
Testo