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

Refine Drugs, Don't Complete Them: Uniform-Source Discrete Flows for Fragment-Based Drug Discovery di Kaech, Benno, Wyss, Luis, Borgwardt, Karsten, Grasso, Gianvito

Sommario: “.... For property and lead optimization, we propose a hybrid scheme that combines a genetic algorithm with a...”
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Copy-Paste to Mitigate Large Language Model Hallucinations di Long, Yongchao, Wu, Xian, Zhang, Yingying, Wen, Xianbin, Zhou, Yuxi, Hong, Shenda

Sommario: “...-Parameter Copying Capturing algorithm. Interestingly, this reveals that CopyPasteLLM recalibrates reliance...”
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Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models di Zhang, Tianao, Li, Zhiteng, Yan, Xianglong, Qin, Haotong, Guo, Yong, Zhang, Yulun

Sommario: “...-order Quantizer (DAQ) that learns ultra-low-bit weight representations via an optimization algorithm...”
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Destination-to-Chutes Task Mapping Optimization for Multi-Robot Coordination in Robotic Sorting Systems di Zhang, Yulun, Barbosa, Alexandre O. G., Pecora, Federico, Li, Jiaoyang

Sommario: “... Diversity algorithms to analyze the throughput of a diverse set of task mappings. Our code is available...”
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XRPO: Pushing the limits of GRPO with Targeted Exploration and Exploitation di Bamba, Udbhav, Fang, Minghao, Yu, Yifan, Zheng, Haizhong, Lai, Fan

Sommario: “...Reinforcement learning algorithms such as GRPO have driven recent advances in large language model...”
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DeepPrune: Parallel Scaling without Inter-trace Redundancy di Tu, Shangqing, Li, Yaxuan, Bai, Yushi, Hou, Lei, Li, Juanzi

Sommario: “... 0.7072 AUROC on unseen reasoning models. Combined with an online greedy clustering algorithm...”
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Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization di Rojas, Kevin, Lin, Jiahe, Rasul, Kashif, Schneider, Anderson, Nevmyvaka, Yuriy, Tao, Molei, Deng, Wei

Sommario: “... new RL algorithm tailored for DLMs. GDPO leverages simple yet effective Semi-deterministic Monte Carlo...”
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Non-Orthogonal Pilot Sequence Design for Multi-Cells Interference Networks di Gu, Zhi, Mow, Wai Ho

Sommario: “...-cell systems and the signature sequences in overloaded code-division multiple-access (CDMA) systems...”
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REvolution: An Evolutionary Framework for RTL Generation driven by Large Language Models di Min, Kyungjun, Cho, Kyumin, Jang, Junhwan, Kang, Seokhyeong

Sommario: “...Large Language Models (LLMs) are used for Register-Transfer Level (RTL) code generation...”
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Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data di Nguyen, Duong M., Hoang, Trong Nghia, Huynh, Thanh Trung, Nguyen, Quoc Viet Hung, Nguyen, Phi Le

Sommario: “... can be algorithmically aggregated across clients with similar data-missing patterns to enhance...”
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Towards Personalized Treatment Plan: Geometrical Model-Agnostic Approach to Counterfactual Explanations di Sin, Daniel, Toutounchian, Milad

Sommario: “... algorithm generates decision boundary points on multiple orders of magnitude in the same given time when we...”
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Mathematical exploration and discovery at scale di Georgiev, Bogdan, Gómez-Serrano, Javier, Tao, Terence, Wagner, Adam Zsolt

Sommario: “...AlphaEvolve (Novikov et al., 2025) is a generic evolutionary coding agent that combines...”
Testo

Pressure2Motion: Hierarchical Human Motion Reconstruction from Ground Pressure with Text Guidance di Li, Zhengxuan, Yang, Qinhui, Zhuang, Yiyu, Guo, Chuan, Zuo, Xinxin, Long, Xiaoxiao, Yao, Yao, Cao, Xun, Shen, Qiu, Zhu, Hao

Sommario: “...We present Pressure2Motion, a novel motion capture algorithm that reconstructs human motion from a...”
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A Visual Perception-Based Tunable Framework and Evaluation Benchmark for H.265/HEVC ROI Encryption di Zhang, Xiang, Wu, Geng, Huang, Wenbin, Fu, Daoyong, Peng, Fei, Fu, Zhangjie

Sommario: “... regions in the video, thereby ensuring security while minimizing the impact on coding efficiency. However...”
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Language-Guided Graph Representation Learning for Video Summarization di Li, Wenrui, Han, Wei, Man, Hengyu, Zuo, Wangmeng, Fan, Xiaopeng, Tian, Yonghong

Sommario: “... and solve it with the EM algorithm. Experimental results show that our method outperforms existing...”
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Reducing Hallucinations in LLM-Generated Code via Semantic Triangulation di Dai, Yihan, Liang, Sijie, Xu, Haotian, Xie, Peichu, Mechtaev, Sergey

Sommario: “...Large language models (LLMs) can generate executable code from natural language descriptions...”
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An Active Learning Interatomic Potential For Defect-Engineered CoCrFeMnNi High-Entropy Alloy di Sahoo, Manish, Deshmukh, Akash, Kokane, Yash, M, Jayaprakash H, Ranganathan, Raghavan

Sommario: “... the BFGS unconstrained optimization algorithm for the CoCrFeMnNi High-entropy alloy. Our training set...”
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ViSS-R1: Self-Supervised Reinforcement Video Reasoning di Fang, Bo, Song, Yuxin, Wu, Qiangqiang, Sun, Haoyuan, Wu, Wenhao, Chan, Antoni B.

Sommario: “... learning GRPO algorithm (Pretext-GRPO) within the standard R1 pipeline, in which positive rewards...”
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Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization di Guo, Jian-Ting, Chen, Yu-Cheng, Hsieh, Ping-Chun, Ho, Kuo-Hao, Huang, Po-Wei, Wu, Ti-Rong, Wu, I-Chen

Sommario: “... RL algorithms, opening a promising direction for learning human-like RL agents. Our code is available...”
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SNAP: Low-Latency Test-Time Adaptation with Sparse Updates di Cha, Hyeongheon, Kim, Dong Min, Chung, Hye Won, Gong, Taesik, Lee, Sung-Ju

Sommario: “... domains. Integrated with five state-of-the-art TTA algorithms, SNAP reduces latency by up to 93.12%, while...”
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