Risultati della ricerca - decoding (algorithmicsic OR algorithm)

Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors di Fang, Hao, Kong, Jiawei, Zhuang, Tianqu, Qiu, Yixiang, Gao, Kuofeng, Chen, Bin, Xia, Shu-Tao, Wang, Yaowei, Zhang, Min

Sommario: “... reduces when faced with advanced detection algorithms. To address this, we propose \textbf{Co}ntrastive...”
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Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications di Katsaros, George N., Nikitopoulos, Konstantinos

Sommario: “... efforts mainly focused on mapping isolated communication algorithms onto spiking networks, often...”
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Multi-Spectral Gaussian Splatting with Neural Color Representation di Meyer, Lukas, Grün, Josef, Weiherer, Maximilian, Egger, Bernhard, Stamminger, Marc, Franke, Linus

Sommario: “... red, without any algorithmic changes. Unlike existing 3DGS-based frameworks that treat each modality...”
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Onboard Mission Replanning for Adaptive Cooperative Multi-Robot Systems di Kwan, Elim, Qureshi, Rehman, Fletcher, Liam, Laganier, Colin, Nockles, Victoria, Walters, Richard

Sommario: “... communication links to centralised compute. Fast, on-board replanning algorithms are therefore needed to enhance...”
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The complete weight distribution of a family of irreducible cyclic codes of dimension two di Vega, Gerardo, Hernández, Félix

Sommario: “... of linear codes are also important due to their efficient encoding and decoding algorithms. Because...”
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TAG-WM: Tamper-Aware Generative Image Watermarking via Diffusion Inversion Sensitivity di Chen, Yuzhuo, Ma, Zehua, Fang, Han, Zhang, Weiming, Yu, Nenghai

Sommario: “.... The proposed method comprises four key modules: a dual-mark joint sampling (DMJS) algorithm for embedding...”
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Weakly Supervised Intracranial Aneurysm Detection and Segmentation in MR angiography via Multi-task UNet with Vesselness Prior di Rainville, Erin, Rasoulian, Amirhossein, Rivaz, Hassan, Xiao, Yiming

Sommario: “... with voxel-wise expert annotations pose challenges for developing deep learning algorithms to address...”
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Do GNN-based QEC Decoders Require Classical Knowledge? Evaluating the Efficacy of Knowledge Distillation from MWPM di Ikeda, Ryota

Sommario: “...The performance of decoders in Quantum Error Correction (QEC) is key to realizing practical quantum...”
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Llasa+: Free Lunch for Accelerated and Streaming Llama-Based Speech Synthesis di Tian, Wenjie, Zhu, Xinfa, Xie, Hanke, Ye, Zhen, Xue, Wei, Xie, Lei

Sommario: “... caused by inaccurate MTP, we design a novel verification algorithm that leverages the frozen backbone...”
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Towards Generalizable Learning Models for EEG-Based Identification of Pain Perception di Rezzouk, Mathis, Gagnon, Fabrice, Champagne, Alyson, Roy, Mathieu, Albouy, Philippe, Coll, Michel-Pierre, Subakan, Cem

Sommario: “... resilient, underscoring their potential for subject-invariant EEG decoding. Even though performance...”
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Correctness-Guaranteed Code Generation via Constrained Decoding di Li, Lingxiao, Rahili, Salar, Zhao, Yiwei

Sommario: “... correctness for runtime-critical components. We present a constrained decoding algorithm for generating...”
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CoCoA: Confidence and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models di Khandelwal, Anant, Gupta, Manish, Agrawal, Puneet

Sommario: “... parametric memory and external context. Existing contrastive decoding methods tuned specifically to handle...”
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Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models di Wang, Yilin, Wang, Heng, Bai, Yuyang, Luo, Minnan

Sommario: “... parametric knowledge contradicts knowledge provided in the context. Previous works studied tuning, decoding...”
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Controllable Generation of Implied Volatility Surfaces with Variational Autoencoders di Wang, Jing, Liu, Shuaiqiang, Vuik, Cornelis

Sommario: “... are quantified via regression at an anchor point and incorporated into the decoder to steer generation. Numerical...”
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A General Framework for Low Soundness Homomorphism Testing di Mittal, Tushant, Roy, Sourya

Sommario: “...We introduce a general framework to design and analyze algorithms for the problem of testing...”
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Generative quantum eigensolver with constrained circuit-cutting overhead di Nakamura, Junya, Sanji, Shinichiro

Sommario: “...Generative quantum eigensolver (GQE) is a hybrid quantum-classical algorithm that iteratively...”
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SPEC-RL: Accelerating On-Policy Reinforcement Learning with Speculative Rollouts di Liu, Bingshuai, Wang, Ante, Min, Zijun, Yao, Liang, Zhang, Haibo, Liu, Yang, Han, Xu, Li, Peng, Zeng, Anxiang, Su, Jinsong

Sommario: “... SPEC-RL, a novel framework that integrates SPECulative decoding with the RL rollout process. SPEC-RL...”
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Improved Constructions of Linear Codes for Insertions and Deletions di Gross, Roee, Con, Roni, Yaakobi, Eitan

Sommario: “... representations, efficient encoding, and decoding algorithms, making them highly desirable. A key challenge...”
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Improving Cybercrime Detection and Digital Forensics Investigations with Artificial Intelligence di Sanna, Silvia Lucia, Regano, Leonardo, Maiorca, Davide, Giacinto, Giorgio

Sommario: “... Intelligence (AI) algorithms for cyberattack detection and \df analysis improvement. However, AI can be better...”
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The Coverage Principle: How Pre-Training Enables Post-Training di Chen, Fan, Huang, Audrey, Golowich, Noah, Malladi, Sadhika, Block, Adam, Ash, Jordan T., Krishnamurthy, Akshay, Foster, Dylan J.

Sommario: “... such as the sequence length. We also study practical algorithmic interventions with provable benefits for improving...”
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