Suchergebnisse - coding algorithm

KAT-V1: Kwai-AutoThink Technical Report von Zhan, Zizheng, Deng, Ken, Tang, Huaixi, Xiang, Wen, Wu, Kun, Li, Weihao, Zhu, Wenqiang, Xu, Jingxuan, Huang, Lecheng, Feng, Zongxian, Wang, Shaojie, Yan, Shangpeng, Chen, Xuxing, Liu, Jiaheng, Peng, Zhongyuan, Gao, Zuchen, Huang, Haoyang, Zhang, Xiaojiang, Wang, Jinghui, Lin, Zheng, Li, Mengtong, Wang, Huiming, Zhan, Ziqi, Wu, Yanan, Zhang, Yuanxing, Yang, Jian, Chen, Guang, Zhang, Haotian, Chen, Bin, Yu, Bing

Inhaltsangabe: “… prompting. Finally, we propose Step-SRPO, a reinforcement learning algorithm that incorporates intermediate …”
Volltext

R-process heating implementation in hydrodynamic simulations with neural networks von Just, Oliver, Xiong, Zewei, Martínez-Pinedo, Gabriel

Inhaltsangabe: “… algorithms. The method requires the evolution of only a few additional quantities characterizing …”
Volltext

CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos von Sun, Wei, Cao, Linhan, Fu, Kang, Zhu, Dandan, Jia, Jun, Hu, Menghan, Min, Xiongkuo, Zhai, Guangtao

Inhaltsangabe: “… compression algorithms. Although numerous compressed video quality assessment (VQA) methods have been proposed …”
Volltext

SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation von Ye, Hao, Qi, Mengshi, Liu, Zhaohong, Liu, Liang, Ma, Huadong

Inhaltsangabe: “… novel multi-scale subgraph retrieval algorithm for efficient information retrieval. By incorporating …”
Volltext

Power Battery Detection von Zhao, Xiaoqi, Cao, Peiqian, Yu, Chenyang, Feng, Zonglei, Zhang, Lihe, Liu, Hanqi, Zuo, Jiaming, Pang, Youwei, Ouyang, Jinsong, Lin, Weisi, Fakhri, Georges El, Lu, Huchuan, Liu, Xiaofeng

Inhaltsangabe: “… algorithms struggle with densely packed plates, low contrast, scale variation, and imaging artifacts …”
Volltext

Adaptive Confidence-Wise Loss for Improved Lens Structure Segmentation in AS-OCT von Xiao, Zunjie, Wu, Xiao, Liu, Tianhang, Hu, Lingxi, Zhang, Yinling, Zhang, Xiaoqing, Higashita, Risa, Liu, Jiang

Inhaltsangabe: “… threshold optimization algorithm to adjust the confidence threshold of ACW dynamically. Additionally …”
Volltext

ST-Raptor: LLM-Powered Semi-Structured Table Question Answering von Tang, Zirui, Niu, Boyu, Zhou, Xuanhe, Li, Boxiu, Zhou, Wei, Wang, Jiannan, Li, Guoliang, Zhang, Xinyi, Wu, Fan

Inhaltsangabe: “… with an effective algorithm for constructing the tree. Second, we define a set of basic tree operations to guide …”
Volltext

Dual-Thresholded Heatmap-Guided Proposal Clustering and Negative Certainty Supervision with Enhanced Base Network for Weakly Supervised Object Detection von Guo, Yuelin, He, Haoyu, Chen, Zhiyuan, Huang, Zitong, Lu, Renhao, Shi, Lu, Wang, Zejun, Zhang, Weizhe

Inhaltsangabe: “… selector (HGPS) algorithm, which utilizes dual thresholds on heatmaps to pre-select proposals, enabling …”
Volltext

Machine Learning for Quantum Noise Reduction von Kendre, Karan

Inhaltsangabe: “… mitigation essential for practical quantum computation. While traditional quantum error correction codes …”
Volltext

Language Models that Think, Chat Better von Bhaskar, Adithya, Ye, Xi, Chen, Danqi

Inhaltsangabe: “… rule-based rewards in verifiable domains such as mathematics and code. However, RLVR leads to limited …”
Volltext

Active Attacks: Red-teaming LLMs via Adaptive Environments von Yun, Taeyoung, St-Charles, Pierre-Luc, Park, Jinkyoo, Bengio, Yoshua, Kim, Minsu

Inhaltsangabe: “… exploration, we introduce \textit{Active Attacks}, a novel RL-based red-teaming algorithm that adapts its …”
Volltext

From Static to Dynamic: Adaptive Monte Carlo Search for Mathematical Process Supervision von Ma, Jie, Qi, Shihao, Xing, Rui, Yin, Ziang, Wei, Bifan, Liu, Jun, Liu, Tongliang

Inhaltsangabe: “… , it enhances the path expansion through a Monte Carlo algorithm with a temporally adaptive policy that begins …”
Volltext

Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play von Wang, Qinsi, Liu, Bo, Zhou, Tianyi, Shi, Jing, Lin, Yueqian, Chen, Yiran, Li, Hai Helen, Wan, Kun, Zhao, Wentian

Inhaltsangabe: “… -SPO), a novel training algorithm that alternates between Self-Play and reinforcement learning …”
Volltext

Who Should Have a Place on the Ark? Parameterized Algorithms for the Maximization of Phylogenetic Diversity von Schestag, Jannik

Inhaltsangabe: “… after which they can no longer be saved.For Time-PD,we present color-coding algorithms that prove …”
Volltext

FOLK: Fast Open-Vocabulary 3D Instance Segmentation via Label-guided Knowledge Distillation von Wu, Hongrui, Gao, Zhicheng, Cao, Jin, Yao, Kelu, Shen, Wen, Wei, Zhihua

Inhaltsangabe: “… propose a label-guided distillation algorithm to distill open-vocabulary knowledge from label-consistent 2 …”
Volltext

Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning von Mihai-Cristian, Pîrvu, Leordeanu, Marius

Inhaltsangabe: “… the distribution of hyper-edges on each forward pass. Additionally, the model adapts the standard MAE algorithm …”
Volltext

FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models von Liu, Junkang, Shang, Fanhua, Liu, Hongying, Tian, Yuxuan, Liu, Yuanyuan, Liu, Jin, Zhu, Kewen, Lin, Zhouchen

Inhaltsangabe: “… \underline{AdamW} algorithm, called \texttt{FedAdamW}, for training and fine-tuning various large models …”
Volltext

CORGI: Efficient Pattern Matching With Quadratic Guarantees von Weitekamp, Daniel

Inhaltsangabe: “… automatically generate rules from example-driven induction or code synthesis, they can easily produce worst-case …”
Volltext

MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping von Huang, Yushi, Wang, Zining, Yuan, Zhihang, Ding, Yifu, Gong, Ruihao, Guo, Jinyang, Liu, Xianglong, Zhang, Jun

Inhaltsangabe: “… the optimal thresholds, we introduce a frontier search algorithm that exploits monotonicity properties …”
Volltext

Solving Spatial Supersensing Without Spatial Supersensing von Udandarao, Vishaal, Karthik, Shyamgopal, Nath, Surabhi S., Hochlehnert, Andreas, Bethge, Matthias, Prabhu, Ameya

Inhaltsangabe: “… object-count predictions unchanged; instead, Cambrian-S inference algorithm relies largely on a shortcut …”
Volltext