Risultati della ricerca - coding (algorithmssics OR (algorithm OR (Algorithmssssssics OR (algorithm OR algorithm))))

"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation di Liang, Zi, Ye, Qingqing, Wang, Yanyun, Zhang, Sen, Xiao, Yaxin, Li, Ronghua, Xu, Jianliang, Hu, Haibo

Sommario: “... propose Locality Reinforced Distillation (LoRD), a novel model extraction algorithm specifically designed...”
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Soft Actor-Critic with Beta Policy via Implicit Reparameterization Gradients di Della Libera, Luca

Sommario: “... was shown to improve the convergence rate of actor-critic algorithms in high-dimensional continuous control...”
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MIP-GAF: A MLLM-annotated Benchmark for Most Important Person Localization and Group Context Understanding di Madan, Surbhi, Ghosh, Shreya, Sookha, Lownish Rai, Ganaie, M. A., Subramanian, Ramanathan, Dhall, Abhinav, Gedeon, Tom

Sommario: “... that the existing MIP localization algorithms must be more robust with respect to `in-the-wild' situations. We...”
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Safe Navigation for Robotic Digestive Endoscopy via Human Intervention-based Reinforcement Learning di Tan, Min, Tao, Yushun, Zheng, Boyun, Xie, GaoSheng, Feng, Lijuan, Xia, Zeyang, Xiong, Jing

Sommario: “.... Existing automated reinforcement learning navigation algorithms often result in potentially risky...”
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SwiftDossier: Tailored Automatic Dossier for Drug Discovery with LLMs and Agents di Fossi, Gabriele, Boulaimen, Youssef, Outemzabet, Leila, Jeanray, Nathalie, Gerart, Stephane, Vachenc, Sebastien, Giemza, Joanna, Raieli, Salvatore

Sommario: “...The advancement of artificial intelligence algorithms has expanded their application to several...”
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Multi-Robot Motion Planning with Diffusion Models di Shaoul, Yorai, Mishani, Itamar, Vats, Shivam, Li, Jiaoyang, Likhachev, Maxim

Sommario: “... that conform to underlying data distributions while using only single-robot data. Our algorithm, Multi-robot...”
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Efficiently Identifying Watermarked Segments in Mixed-Source Texts di Zhao, Xuandong, Liao, Chenwen, Wang, Yu-Xiang, Li, Lei

Sommario: “... watermark segment in long text. Second, we introduce an adaptive online learning algorithm to pinpoint...”
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LLM Embeddings Improve Test-time Adaptation to Tabular $Y|X$-Shifts di Zeng, Yibo, Liu, Jiashuo, Lam, Henry, Namkoong, Hongseok

Sommario: “... pairs and benchmark against 261,000 model configurations trained by 22 algorithms. Our observation holds...”
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Utilizing ChatGPT in a Data Structures and Algorithms Course: A Teaching Assistant's Perspective di Jamie, Pooriya, Hajihashemi, Reyhaneh, Alipour, Sharareh

Sommario: “... transformative potential for complex courses such as data structures and algorithms (DSA). This study examines...”
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PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents di Yin, Xiangyu, Shi, Chuqiao, Han, Yimo, Jiang, Yi

Sommario: “... and algorithmic parameters. Traditionally, parameter selection often relies on trial and error, leading to low...”
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Jupiter Evolutionary Models Incorporating Stably Stratified Regions di Arevalo, Roberto Tejada, Sur, Ankan, Su, Yubo, Burrows, Adam

Sommario: “...{Juno} gravity data. Hence, using the new code \texttt{APPLE}, we attempt to put a non-adiabatic Jupiter...”
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AGISim, An Open Source Airborne Gimbal Mounted IMU Signal Simulator Considering Flight Dynamics Model di Kazemi, Alireza, Sarvestani, Reza Rohani

Sommario: “... navigation algorithms with variable/dynamic lever arms), verifies the simulator and its applicability...”
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EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning di Purohit, Kiran, V, Venktesh, Devalla, Raghuram, Yerragorla, Krishna Mohan, Bhattacharya, Sourangshu, Anand, Avishek

Sommario: “... robustness across a distribution of test examples. In this paper, we propose an algorithm for static exemplar...”
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Inter-Frame Coding for Dynamic Meshes via Coarse-to-Fine Anchor Mesh Generation di Huang, He, Hou, Lizhi, Yang, Qi, Xu, Yiling

Sommario: “...In the current Video-based Dynamic Mesh Coding (V-DMC) standard, inter-frame coding is restricted...”
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From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $α$-NeuS di Zhang, Haoran, Deng, Junkai, Chen, Xuhui, Hou, Fei, Wang, Wencheng, Qin, Hong, Qian, Chen, He, Ying

Sommario: “... algorithms, such as marching cubes, which rely on fixed iso-values, are ill-suited for such data. We develop...”
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Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback di Gao, Feng, Yu, Chao, Wang, Yu, Wu, Yi

Sommario: “... nonlinearities. This internal model combines model-free RL algorithms with predictive error feedback. Such a...”
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REVISE: Robust Probabilistic Motion Planning in a Gaussian Random Field di Rose, Alex, Aggarwal, Naman, Jewison, Christopher, How, Jonathan P.

Sommario: “...This paper presents Robust samplE-based coVarIance StEering (REVISE), a multi-query algorithm...”
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Towards Fault Tolerance in Multi-Agent Reinforcement Learning di Shi, Yuchen, Pei, Huaxin, Feng, Liang, Zhang, Yi, Yao, Danya

Sommario: “... (MARL) algorithms, introducing two key challenges. First, agents often struggle to extract critical...”
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MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity di Tang, Xiaqiang, Gao, Qiang, Li, Jian, Du, Nan, Li, Qi, Xie, Sihong

Sommario: “... strategy based on query complexity. % our solution Our approach leverages a multi-armed bandit algorithm...”
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If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs di Khalifa, Muhammad, Tan, Yi-Chern, Ahmadian, Arash, Hosking, Tom, Lee, Honglak, Wang, Lu, Üstün, Ahmet, Sherborne, Tom, Gallé, Matthias

Sommario: “... capabilities (e.g., instruction following vs. code generation), we investigate whether merging can recycle...”
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