Search Results - coding (algorithm OR algorithmssics)

KAT-V1: Kwai-AutoThink Technical Report by 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 of Contents: “… 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 by Just, Oliver, Xiong, Zewei, Martínez-Pinedo, Gabriel

Table of Contents: “… 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 by Sun, Wei, Cao, Linhan, Fu, Kang, Zhu, Dandan, Jia, Jun, Hu, Menghan, Min, Xiongkuo, Zhai, Guangtao

Table of Contents: “… 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 by Ye, Hao, Qi, Mengshi, Liu, Zhaohong, Liu, Liang, Ma, Huadong

Table of Contents: “… novel multi-scale subgraph retrieval algorithm for efficient information retrieval. By incorporating…”
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Power Battery Detection by 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 of Contents: “… 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 by Xiao, Zunjie, Wu, Xiao, Liu, Tianhang, Hu, Lingxi, Zhang, Yinling, Zhang, Xiaoqing, Higashita, Risa, Liu, Jiang

Table of Contents: “… 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 by Tang, Zirui, Niu, Boyu, Zhou, Xuanhe, Li, Boxiu, Zhou, Wei, Wang, Jiannan, Li, Guoliang, Zhang, Xinyi, Wu, Fan

Table of Contents: “… 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 by Guo, Yuelin, He, Haoyu, Chen, Zhiyuan, Huang, Zitong, Lu, Renhao, Shi, Lu, Wang, Zejun, Zhang, Weizhe

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

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

Table of Contents: “… 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 by Yun, Taeyoung, St-Charles, Pierre-Luc, Park, Jinkyoo, Bengio, Yoshua, Kim, Minsu

Table of Contents: “… 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 by Ma, Jie, Qi, Shihao, Xing, Rui, Yin, Ziang, Wei, Bifan, Liu, Jun, Liu, Tongliang

Table of Contents: “…, 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 by Wang, Qinsi, Liu, Bo, Zhou, Tianyi, Shi, Jing, Lin, Yueqian, Chen, Yiran, Li, Hai Helen, Wan, Kun, Zhao, Wentian

Table of Contents: “…-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 by Schestag, Jannik

Table of Contents: “… 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 by Wu, Hongrui, Gao, Zhicheng, Cao, Jin, Yao, Kelu, Shen, Wen, Wei, Zhihua

Table of Contents: “… 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 by Mihai-Cristian, Pîrvu, Leordeanu, Marius

Table of Contents: “… 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 by Liu, Junkang, Shang, Fanhua, Liu, Hongying, Tian, Yuxuan, Liu, Yuanyuan, Liu, Jin, Zhu, Kewen, Lin, Zhouchen

Table of Contents: “… \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 by Weitekamp, Daniel

Table of Contents: “… 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 by Huang, Yushi, Wang, Zining, Yuan, Zhihang, Ding, Yifu, Gong, Ruihao, Guo, Jinyang, Liu, Xianglong, Zhang, Jun

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

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