Résultats de la recherche - coding (algorithm OR algorithmssic)

KAT-V1: Kwai-AutoThink Technical Report par 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

Table des matières: “… prompting. Finally, we propose Step-SRPO, a reinforcement learning algorithm that incorporates intermediate…”
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R-process heating implementation in hydrodynamic simulations with neural networks par Just, Oliver, Xiong, Zewei, Martínez-Pinedo, Gabriel

Table des matières: “… algorithms. The method requires the evolution of only a few additional quantities characterizing…”
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CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos par Sun, Wei, Cao, Linhan, Fu, Kang, Zhu, Dandan, Jia, Jun, Hu, Menghan, Min, Xiongkuo, Zhai, Guangtao

Table des matières: “… compression algorithms. Although numerous compressed video quality assessment (VQA) methods have been proposed…”
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SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation par Ye, Hao, Qi, Mengshi, Liu, Zhaohong, Liu, Liang, Ma, Huadong

Table des matières: “… novel multi-scale subgraph retrieval algorithm for efficient information retrieval. By incorporating…”
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Power Battery Detection par 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

Table des matières: “… algorithms struggle with densely packed plates, low contrast, scale variation, and imaging artifacts…”
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Adaptive Confidence-Wise Loss for Improved Lens Structure Segmentation in AS-OCT par Xiao, Zunjie, Wu, Xiao, Liu, Tianhang, Hu, Lingxi, Zhang, Yinling, Zhang, Xiaoqing, Higashita, Risa, Liu, Jiang

Table des matières: “… threshold optimization algorithm to adjust the confidence threshold of ACW dynamically. Additionally…”
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ST-Raptor: LLM-Powered Semi-Structured Table Question Answering par Tang, Zirui, Niu, Boyu, Zhou, Xuanhe, Li, Boxiu, Zhou, Wei, Wang, Jiannan, Li, Guoliang, Zhang, Xinyi, Wu, Fan

Table des matières: “… with an effective algorithm for constructing the tree. Second, we define a set of basic tree operations to guide…”
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Dual-Thresholded Heatmap-Guided Proposal Clustering and Negative Certainty Supervision with Enhanced Base Network for Weakly Supervised Object Detection par Guo, Yuelin, He, Haoyu, Chen, Zhiyuan, Huang, Zitong, Lu, Renhao, Shi, Lu, Wang, Zejun, Zhang, Weizhe

Table des matières: “… selector (HGPS) algorithm, which utilizes dual thresholds on heatmaps to pre-select proposals, enabling…”
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Machine Learning for Quantum Noise Reduction par Kendre, Karan

Table des matières: “… mitigation essential for practical quantum computation. While traditional quantum error correction codes…”
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Language Models that Think, Chat Better par Bhaskar, Adithya, Ye, Xi, Chen, Danqi

Table des matières: “… rule-based rewards in verifiable domains such as mathematics and code. However, RLVR leads to limited…”
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Active Attacks: Red-teaming LLMs via Adaptive Environments par Yun, Taeyoung, St-Charles, Pierre-Luc, Park, Jinkyoo, Bengio, Yoshua, Kim, Minsu

Table des matières: “… exploration, we introduce \textit{Active Attacks}, a novel RL-based red-teaming algorithm that adapts its…”
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From Static to Dynamic: Adaptive Monte Carlo Search for Mathematical Process Supervision par Ma, Jie, Qi, Shihao, Xing, Rui, Yin, Ziang, Wei, Bifan, Liu, Jun, Liu, Tongliang

Table des matières: “…, it enhances the path expansion through a Monte Carlo algorithm with a temporally adaptive policy that begins…”
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Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play par Wang, Qinsi, Liu, Bo, Zhou, Tianyi, Shi, Jing, Lin, Yueqian, Chen, Yiran, Li, Hai Helen, Wan, Kun, Zhao, Wentian

Table des matières: “…-SPO), a novel training algorithm that alternates between Self-Play and reinforcement learning…”
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Who Should Have a Place on the Ark? Parameterized Algorithms for the Maximization of Phylogenetic Diversity par Schestag, Jannik

Table des matières: “… after which they can no longer be saved.For Time-PD,we present color-coding algorithms that prove…”
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FOLK: Fast Open-Vocabulary 3D Instance Segmentation via Label-guided Knowledge Distillation par Wu, Hongrui, Gao, Zhicheng, Cao, Jin, Yao, Kelu, Shen, Wen, Wei, Zhihua

Table des matières: “… propose a label-guided distillation algorithm to distill open-vocabulary knowledge from label-consistent 2…”
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Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning par Mihai-Cristian, Pîrvu, Leordeanu, Marius

Table des matières: “… the distribution of hyper-edges on each forward pass. Additionally, the model adapts the standard MAE algorithm…”
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FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models par Liu, Junkang, Shang, Fanhua, Liu, Hongying, Tian, Yuxuan, Liu, Yuanyuan, Liu, Jin, Zhu, Kewen, Lin, Zhouchen

Table des matières: “… \underline{AdamW} algorithm, called \texttt{FedAdamW}, for training and fine-tuning various large models…”
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CORGI: Efficient Pattern Matching With Quadratic Guarantees par Weitekamp, Daniel

Table des matières: “… automatically generate rules from example-driven induction or code synthesis, they can easily produce worst-case…”
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MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping par Huang, Yushi, Wang, Zining, Yuan, Zhihang, Ding, Yifu, Gong, Ruihao, Guo, Jinyang, Liu, Xianglong, Zhang, Jun

Table des matières: “… the optimal thresholds, we introduce a frontier search algorithm that exploits monotonicity properties…”
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Solving Spatial Supersensing Without Spatial Supersensing par Udandarao, Vishaal, Karthik, Shyamgopal, Nath, Surabhi S., Hochlehnert, Andreas, Bethge, Matthias, Prabhu, Ameya

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