Suchergebnisse - decoding (algorithmics OR (algorithm OR algorithm))

FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments von Liu, Fang, Liu, Zhenwei, Zhao, Qianhui, Jiang, Jing, Zhang, Li, Li, Ge, Sun, Zian, Li, Zhongqi, Ma, Yuchi

Inhaltsangabe: “… remarkable inference speedup of 16.67 times compared to the autoregressive decoding algorithm.  …”
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Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces von Wang, Ziwei, Li, Siyang, Luo, Jingwei, Liu, Jiajing, Wu, Dongrui

Inhaltsangabe: “… ) using different decoding algorithms demonstrated that: 1) CR is effective, i.e., it can noticeably …”
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URoadNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction von Song, Jie, Sun, Yue, Cai, Ziyun, Xiao, Liang, Huang, Yawen, Zheng, Yefeng

Inhaltsangabe: “… The challenges of road network segmentation demand an algorithm capable of adapting to the sparse …”
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Deep Learning in Wireless Communication Receiver: A Survey von Doha, Shadman Rahman, Abdelhadi, Ahmed

Inhaltsangabe: “… receivers depend on mathematical models and algorithms, which do not have the ability to adapt or learn from …”
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Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models von Zhang, Ce, Wan, Zifu, Kan, Zhehan, Ma, Martin Q., Stepputtis, Simon, Ramanan, Deva, Salakhutdinov, Russ, Morency, Louis-Philippe, Sycara, Katia, Xie, Yaqi

Inhaltsangabe: “… Decoding with Generative Feedback (DeGF), a novel training-free algorithm that incorporates feedback from …”
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Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment von Favero, Lucile, Pérez-Ortiz, Juan Antonio, Käser, Tanja, Oliver, Nuria

Inhaltsangabe: “… Argument mining algorithms analyze the argumentative structure of essays, making them a valuable …”
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STAR-RIS-aided NOMA for Secured xURLLC von Lulu, Song, Di, Zhang, Shaobo, Jia, Pengcheng, Zhu, Yonghui, Li

Inhaltsangabe: “… ), which provides additional degree of freedom to enable a secure and fair decoding order and achieve a …”
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SigChord: Sniffing Wide Non-sparse Multiband Signals for Terrestrial and Non-terrestrial Wireless Networks von Peng, Jinbo, Duan, Junwen, Lin, Zheng, Yuan, Haoxuan, Gao, Yue, Chen, Zhe

Inhaltsangabe: “… on low-cost and sub-Nyquist sampling radios. We first design a deep and rule-based interleaving algorithm …”
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SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting von Xu, Jiaming, Pan, Jiayi, Zhou, Yongkang, Chen, Siming, Li, Jinhao, Lian, Yaoxiu, Wu, Junyi, Dai, Guohao

Inhaltsangabe: “… SpecEE, a fast LLM inference engine with speculative early exiting. (1) At the algorithm level, we …”
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LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment von Long, Jiahuan, Zhou, Xin

Inhaltsangabe: “… , existing depth estimation algorithms often struggle to effectively balance performance and computational …”
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Antenna Activation and Resource Allocation in Multi-Waveguide Pinching-Antenna Systems von Wang, Kaidi, Ding, Zhiguo, Karagiannidis, George K.

Inhaltsangabe: “… -theoretic algorithm is developed, in which the optimal decoding order is derived and incorporated. For power …”
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One Trigger Token Is Enough: A Defense Strategy for Balancing Safety and Usability in Large Language Models von Gu, Haoran, Wang, Handing, Mei, Yi, Zhang, Mengjie, Jin, Yaochu

Inhaltsangabe: “… simple yet effective defense algorithm that identifies and explicitly decodes safety trigger tokens …”
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Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency von Li, Ruixiao, Chen, Fahao, Li, Peng

Inhaltsangabe: “… Speculative decoding accelerates Large Language Model (LLM) inference by employing a small …”
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An Exploratory Framework for Future SETI Applications: Detecting Generative Reactivity via Language Models von Yu, Po-Chieh

Inhaltsangabe: “… responses in language models. Instead of assuming that extraterrestrial signals must be decoded, we evaluate …”
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Towards Bridging the Reward-Generation Gap in Direct Alignment Algorithms von Xiao, Zeguan, Chen, Yun, Chen, Guanhua, Tang, Ke

Inhaltsangabe: “… Feedback (RLHF) algorithms for aligning large language models (LLMs) with human preferences. However, DAAs …”
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ABS: Enforcing Constraint Satisfaction On Generated Sequences Via Automata-Guided Beam Search von Collura, Vincenzo, Tit, Karim, Bussi, Laura, Giunchiglia, Eleonora, Cordy, Maxime

Inhaltsangabe: “… ones, and beam search is commonly used to balance exploration and fluency during decoding. While deep …”
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A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning von Peng, Cheng, Dong, Xinyu, Lyu, Mengxian, Paredes, Daniel, Zhang, Yaoyun, Wu, Yonghui

Inhaltsangabe: “… , including: (1) encoder-only or decoder-only LLMs, (2) prompt-based parameter-efficient fine-tuning (PEFT …”
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Reading Images Like Texts: Sequential Image Understanding in Vision-Language Models von Li, Yueyan, Zhao, Chenggong, Zang, Zeyuan, Yuan, Caixia, Wang, Xiaojie

Inhaltsangabe: “… an instruction-agnostic token compression algorithm based on a plug-and-play visual decoder to improve decoding …”
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STARS: Synchronous Token Alignment for Robust Supervision in Large Language Models von Quamar, Mohammad Atif, Areeb, Mohammad, Kuznetsov, Mikhail, Ozmen, Muslum Ozgur, Celik, Z. Berkay

Inhaltsangabe: “… , we introduce STARS, Synchronous Token Alignment for Robust Supervision, a decoding-time algorithm …”
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An Information-Minimal Geometry for Qubit-Efficient Optimization von Ma, Gordon, Angelakis, Dimitris G.

Inhaltsangabe: “… algorithms explore exponentially large Hilbert spaces. We recast qubit-efficient optimization as a geometric …”
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