Suchergebnisse - coding (algorithmics OR (algorithm OR (algorithm OR algorithm)))

Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines von Liu, Tuo, Yang, Qinghan, Zhang, Yu, Ge, Rongjun, Chen, Yang, Zhou, Guangquan

Inhaltsangabe: “… are important for diagnosing cardiovascular disease. Alt-hough existing algorithms have explored automated LV …”
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Limits of message passing for node classification: How class-bottlenecks restrict signal-to-noise ratio von Rubin, Jonathan, Loomba, Sahil, Jones, Nick S.

Inhaltsangabe: “… , a graph ensemble-based rewiring algorithm that achieves near-perfect classification accuracy across …”
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MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs von Dong, Sixun, Hu, Juhua, Zhang, Mian, Yin, Ming, Fu, Yanjie, Qian, Qi

Inhaltsangabe: “… results in the degraded inference efficiency of VLMs. While many algorithms have been proposed to reduce …”
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GIPPO: A Graph-based, Iterative, Printing-Path Optimization Slicer for Architected Lattices von Fucile, Pierpaolo, Kalogeropoulou, Maria, David, Vivek Cherian, Moroni, Lorenzo

Inhaltsangabe: “… 's algorithm. The resulting paths are translated back to Euclidean coordinates and exported as a ready-to-use G …”
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AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models von Mukhopadhyay, Snehasis, Kasat, Aryan, Dubey, Shivam, Karthikeyan, Rahul, Sood, Dhruv, Jain, Vinija, Chadha, Aman, Das, Amitava

Inhaltsangabe: “… speculative decoding algorithm that proactively reduces casteist and communal bias during generation …”
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AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning von Xi, Zhiheng, Huang, Jixuan, Liao, Chenyang, Huang, Baodai, Guo, Honglin, Liu, Jiaqi, Zheng, Rui, Ye, Junjie, Zhang, Jiazheng, Chen, Wenxiang, He, Wei, Ding, Yiwen, Li, Guanyu, Chen, Zehui, Du, Zhengyin, Yao, Xuesong, Xu, Yufei, Chen, Jiecao, Gui, Tao, Wu, Zuxuan, Zhang, Qi, Huang, Xuanjing, Jiang, Yu-Gang

Inhaltsangabe: “… -world scenarios, and supports mainstream RL algorithms. Furthermore, we propose ScalingInter-RL, a …”
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SMapper: A Multi-Modal Data Acquisition Platform for SLAM Benchmarking von Soares, Pedro Miguel Bastos, Tourani, Ali, Fernandez-Cortizas, Miguel, Bikandi-Noya, Asier, Voos, Holger, Sanchez-Lopez, Jose Luis

Inhaltsangabe: “… foundation for advancing SLAM algorithm development, evaluation, and reproducibility. The project …”
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MCBP: A Memory-Compute Efficient LLM Inference Accelerator Leveraging Bit-Slice-enabled Sparsity and Repetitiveness von Wang, Huizheng, Wang, Zichuan, Yue, Zhiheng, Long, Yousheng, Wei, Taiquan, Yang, Jianxun, Wang, Yang, Li, Chao, Wei, Shaojun, Hu, Yang, Yin, Shouyi

Inhaltsangabe: “… bit-grained compute-memory efficient algorithm-hardware co-design that leverages bit-slice (BS …”
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Temporal Reasoning with Large Language Models Augmented by Evolving Knowledge Graphs von Lin, Junhong, Wang, Song, Guo, Xiaojie, Shun, Julian, Zhu, Yada

Inhaltsangabe: “… -aware multi-hop reasoning algorithm that performs global-local entity grounding, multi-route …”
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Orchestrate, Generate, Reflect: A VLM-Based Multi-Agent Collaboration Framework for Automated Driving Policy Learning von Peng, Zengqi, Xie, Yusen, Wang, Yubin, Yang, Rui, Chen, Qifeng, Ma, Jun

Inhaltsangabe: “… across distinct urban scenarios, and strong compatibility with various RL algorithms. Further real-world …”
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Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding von Yan, Zhanglu, Mao, Jiayi, Liu, Qianhui, Li, Fanfan, Pan, Gang, Luo, Tao, Zhu, Bowen, Wong, Weng-Fai

Inhaltsangabe: “… neural network-to-SNN conversion algorithm. This complete hardware-software co-design enables our model …”
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MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources von Leng, Sicong, Wang, Jing, Li, Jiaxi, Zhang, Hao, Hu, Zhiqiang, Zhang, Boqiang, Jiang, Yuming, Zhang, Hang, Li, Xin, Bing, Lidong, Zhao, Deli, Lu, Wei, Rong, Yu, Sun, Aixin, Lu, Shijian

Inhaltsangabe: “… (CoT) data, and the instability of reinforcement learning (RL) algorithms in post-training. Group …”
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Enabling Approximate Joint Sampling in Diffusion LMs von Bansal, Parikshit, Sanghavi, Sujay

Inhaltsangabe: “… ) and instruction-tuned (Dream-7B-Instruct, Dream-7B-Coder) models on language modeling and math \& coding tasks …”
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LLM Hallucination Detection: HSAD von Li, JinXin, Tu, Gang, Hu, JunJie

Inhaltsangabe: “… such as language understanding and code generation, the frequent occurrence of hallucinations during the generation …”
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CrashSplat: 2D to 3D Vehicle Damage Segmentation in Gaussian Splatting von Chileban, Dragoş-Andrei, Bulzan, Andrei-Ştefan, Cernǎzanu-Glǎvan, Cosmin

Inhaltsangabe: “… an algorithm that utilizes Z-buffering along with a normal distribution model of depth and opacities. Through …”
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DyMoDreamer: World Modeling with Dynamic Modulation von Zhang, Boxuan, Wang, Runqing, Xiao, Wei, Zhang, Weipu, Sun, Jian, Huang, Gao, Chen, Jie, Wang, Gang

Inhaltsangabe: “… and decision-making performance. To address this, we introduce DyMoDreamer, a novel MBRL algorithm …”
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PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images von Zhang, Shuoshuo, Li, Zijian, Zhang, Yizhen, Fu, Jingjing, Song, Lei, Bian, Jiang, Zhang, Jun, Yang, Yujiu, Wang, Rui

Inhaltsangabe: “… localizations are integrated with traditional computer vision (CV) algorithms in tool agents. Building …”
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Learning to Reason as Action Abstractions with Scalable Mid-Training RL von Zhang, Shenao, Yu, Donghan, Feng, Yihao, Jin, Bowen, Wang, Zhaoran, Peebles, John, Wang, Zirui

Inhaltsangabe: “… propose Reasoning as Action Abstractions (RA3), a scalable mid-training algorithm. Specifically, we derive …”
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A Multi-purpose Tracking Framework for Salmon Welfare Monitoring in Challenging Environments von Høgstedt, Espen Uri, Schellewald, Christian, Stahl, Annette, Mester, Rudolf

Inhaltsangabe: “… detectors and trackers from other application areas to aid their welfare indicator calculation algorithm …”
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SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction von Guo, Hanze, Ma, Yijun, Zhou, Xiao

Inhaltsangabe: “… further enhanced prediction accuracy in contemporary social recommendation algorithms. However, many GNN …”
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