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Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving by Pang, Hao, Wang, Zhenpo, Li, Guoqiang

Table of Contents: “… expert policy constrained algorithm and a novel LLM-intervened interaction mechanism. Experimental…”
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A Large-Scale Study on Video Action Dataset Condensation by Chen, Yang, Guo, Sheng, Zheng, Bo, Wang, Limin

Table of Contents: “… of condensation algorithms to the space-time domain. From this study, we derive several intriguing observations…”
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On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis by Ke, Yekun, Li, Xiaoyu, Liang, Yingyu, Sha, Zhizhou, Shi, Zhenmei, Song, Zhao

Table of Contents: “…'' paradigm. Suppose that $n$ represents the height and width of the last VQ code map generated by $\mathsf…”
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Advection Algorithms for Quantum Neutrino Moment Transport by Grohs, Evan, Richers, Sherwood, Froustey, Julien, Foucart, Francois, Kneller, James P., McLaughlin, Gail C.

Table of Contents: “… then test our new algorithm in numerous cases showing a neutrino fast flavor instability, varying from toy…”
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Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems by Gao, Weibo, Liu, Qi, Yue, Linan, Yao, Fangzhou, Lv, Rui, Zhang, Zheng, Wang, Hao, Huang, Zhenya

Table of Contents: “… with learner profile, memory, and action modules tailored to personalized learning algorithms. The learner…”
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Radiance Surfaces: Optimizing Surface Representations with a 5D Radiance Field Loss by Zhang, Ziyi, Roussel, Nicolas, Müller, Thomas, Zeltner, Tizian, Nimier-David, Merlin, Rousselle, Fabrice, Jakob, Wenzel

Table of Contents: “… representation. Building on existing radiance volume reconstruction algorithms, we introduce a subtle yet…”
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Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion by Zhang, Binchi, Zheng, Zaiyi, Chen, Zhengzhang, Li, Jundong

Table of Contents: “… for transformers. Based on this property, we propose a theoretically optimal parameter matching algorithm as a plug…”
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Information Theoretic Analysis of PUF-Based Tamper Protection by Maringer, Georg, Hiller, Matthias

Table of Contents: “… and minimize the reconstruction error probability under zero leakage. We apply wiretap coding within a helper…”
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Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge by Imran, Muhammad, Krebs, Jonathan R., Sivaraman, Vishal Balaji, Zhang, Teng, Kumar, Amarjeet, Ueland, Walker R., Fassler, Michael J., Huang, Jinlong, Sun, Xiao, Wang, Lisheng, Shi, Pengcheng, Rokuss, Maximilian, Baumgartner, Michael, Kirchhof, Yannick, Maier-Hein, Klaus H., Isensee, Fabian, Liu, Shuolin, Han, Bing, Nguyen, Bong Thanh, Shin, Dong-jin, Ji-Woo, Park, Choi, Mathew, Uhm, Kwang-Hyun, Ko, Sung-Jea, Lee, Chanwoong, Chun, Jaehee, Kim, Jin Sung, Zhang, Minghui, Zhang, Hanxiao, You, Xin, Gu, Yun, Pan, Zhaohong, Liu, Xuan, Liang, Xiaokun, Tiefenthaler, Markus, Almar-Munoz, Enrique, Schwab, Matthias, Kotyushev, Mikhail, Epifanov, Rostislav, Wodzinski, Marek, Muller, Henning, Qayyum, Abdul, Mazher, Moona, Niederer, Steven A., Wang, Zhiwei, Yang, Kaixiang, Ren, Jintao, Korreman, Stine Sofia, Gao, Yuchong, Zeng, Hongye, Zheng, Haoyu, Zheng, Rui, Yue, Jinghua, Zhou, Fugen, Liu, Bo, Cosman, Alexander, Liang, Muxuan, Zhao, Chang, Upchurch Jr., Gilbert R., Ma, Jun, Zhou, Yuyin, Cooper, Michol A., Shao, Wei

Table of Contents: “…, and an in-depth analysis of the top-performing algorithms. The annotated dataset, evaluation code…”
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LMS-Net: A Learned Mumford-Shah Network For Few-Shot Medical Image Segmentation by Zhang, Shengdong, Jia, Fan, Li, Xiang, Zhang, Hao, Shi, Jun, Ma, Liyan, Ying, Shihui

Table of Contents: “… into prototype update and mask update tasks, we propose an alternating optimization algorithm to solve…”
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Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data by Agarwal, Ishika, Hakkani-Tür, Dilek

Table of Contents: “… metrics and algorithms to calculate the influence of data using language models, which do not scale well…”
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Semantica: Decentralized Search using a LLM-Guided Semantic Tree Overlay by Neague, Petru, Stokkink, Quinten, Goel, Naman, Pouwelse, Johan

Table of Contents: “… and fulfill the promise of Semantic Overlay Networks. Our proposed algorithm, called Semantica, constructs a…”
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Blank Space: Adaptive Causal Coding for Streaming Communications Over Multi-Hop Networks by Gitik, Rivka, Waxman, Adina, Ginzach, Shai, Glam, Aviel, Cohen, Alejandro

Table of Contents: “… novel coding scheme designed to mitigate the triplet trade-off between throughput-delay-efficiency…”
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Inductive Synthesis of Inductive Heap Predicates -- Extended Version by Yang, Ziyi, Sergey, Ilya

Table of Contents: “… learning algorithm. The key contributions of our work are (a) the formulation of ILP-based learning only…”
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LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design by Wei, Renjie, Xu, Songqiang, Zhong, Linfeng, Yang, Zebin, Guo, Qingyu, Wang, Yuan, Wang, Runsheng, Li, Meng

Table of Contents: “…. In this paper, we propose LightMamba that co-designs the quantization algorithm and FPGA accelerator…”
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From Euler to AI: Unifying Formulas for Mathematical Constants by Raz, Tomer, Shalyt, Michael, Leibtag, Elyasheev, Kalisch, Rotem, Weinbaum, Shachar, Hadad, Yaron, Kaminer, Ido

Table of Contents: “… formulas. Our system combines Large Language Models (LLMs) for systematic formula harvesting, an LLM-code…”
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Discrete Codebook World Models for Continuous Control by Scannell, Aidan, Nakhaei, Mohammadreza, Kujanpää, Kalle, Zhao, Yi, Luck, Kevin Sebastian, Solin, Arno, Pajarinen, Joni

Table of Contents: “… are codes from a codebook. We combine DCWM with decision-time planning to get our model-based RL algorithm…”
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SparseMamba-PCL: Scribble-Supervised Medical Image Segmentation via SAM-Guided Progressive Collaborative Learning by Qiu, Luyi, Till, Tristan, Guo, Xiaobao, Kong, Adams Wai-Kin

Table of Contents: “… Learning framework that leverages novel algorithms and the Med-SAM foundation model to enhance information…”
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ARMOR: Empowering Multimodal Understanding Model with Interleaved Multimodal Generation Capability by Sun, Jianwen, Feng, Yukang, Li, Chuanhao, Zhang, Fanrui, Li, Zizhen, Ai, Jiaxin, Zhou, Sizhuo, Dai, Yu, Zhang, Shenglin, Zhang, Kaipeng

Table of Contents: “… is collected for fine-tuning MLLMs. (3) For the training algorithm, we propose a ``what or how to generate…”
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Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems by Klatzer, Teresa, Melidonis, Savvas, Pereyra, Marcelo, Zygalakis, Konstantinos C.

Table of Contents: “… problems involving weakly informative Poisson data. Existing PnP Langevin algorithms are not well-suited…”
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