arXiv cs.AI Artificial Intelligence

Shayan Farhang Pazhooh, Hossein Shams Shemirani: An Efficient Continuous-Time MILP for Integrated Aircraft Hangar Scheduling and Layout https://arxiv.org/abs/2508.02640 https://arxiv.org/pdf/2508.02640 https://arxiv.org/html/2508.02640

Liu, Liang, Chen, Chen, Hu, Dong, Xu, Han, Qin, Mu: HyCodePolicy: Hybrid Language Controllers for Multimodal Monitoring and Decision in Embodied Agents https://arxiv.org/abs/2508.02629 https://arxiv.org/pdf/2508.02629 https://arxiv.org/html/2508.02629

Francia, Leone, Leonardi, Montani, Pennisi, Striani, D'Alfonso: AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data https://arxiv.org/abs/2508.02625 https://arxiv.org/pdf/2508.02625 https://arxiv.org/html/2508.02625

Vali Tawosia, Salwa Alamir, Xiaomo Liu, Manuela Veloso: Meta-RAG on Large Codebases Using Code Summarization https://arxiv.org/abs/2508.02611 https://arxiv.org/pdf/2508.02611 https://arxiv.org/html/2508.02611

Jin, Pan, Tang, Feng, Li, Xiang, Li, Su, Ji, Sun, Leng, Deshikachar: Entity Representation Learning Through Onsite-Offsite Graph for Pinterset Ads https://arxiv.org/abs/2508.02609 https://arxiv.org/pdf/2508.02609 https://arxiv.org/html/2508.02609

Siyi Liu, Yujia Zheng, Yongqi Zhang: StructSynth: Leveraging LLMs for Structure-Aware Tabular Data Synthesis in Low-Data Regimes https://arxiv.org/abs/2508.02601 https://arxiv.org/pdf/2508.02601 https://arxiv.org/html/2508.02601

Gomez, Seenivasan, Zou, Yoon, Chu, Leong, Kramer, Ku, Porras, Martin-Gomez, Ishii, Unberath: Explainable AI for Automated User-specific Feedback in Surgical Skill Acquisition https://arxiv.org/abs/2508.02593 https://arxiv.org/pdf/2508.02593 https://arxiv.org/html/2508.02593

Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp: Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules https://arxiv.org/abs/2508.02587 https://arxiv.org/pdf/2508.02587 https://arxiv.org/html/2508.02587

Ming Pok Ng, Junqi Jiang, Gabriel Freedman, Antonio Rago, Francesca Toni: MArgE: Meshing Argumentative Evidence from Multiple Large Language Models for Justifiable Claim Verification https://arxiv.org/abs/2508.02584 https://arxiv.org/pdf/2508.02584 https://arxiv.org/html/2508.02584

Eman Alamoudi, Ellis Solaiman: EHSAN: Leveraging ChatGPT in a Hybrid Framework for Arabic Aspect-Based Sentiment Analysis in Healthcare https://arxiv.org/abs/2508.02574 https://arxiv.org/pdf/2508.02574 https://arxiv.org/html/2508.02574

Javier Fumanal-Idocin, Raquel Fernandez-Peralta, Javier Andreu-Perez: Dynamic Feature Selection based on Rule-based Learning for Explainable Classification with Uncertainty Quantification https://arxiv.org/abs/2508.02566 https://arxiv.org/pdf/2508.02566 https://arxiv.org/html/2508.02566

Quenet, et al.: Stakeholder Perspectives on Humanistic Implementation of Computer Perception in Healthcare: A Qualitative Study https://arxiv.org/abs/2508.02550 https://arxiv.org/pdf/2508.02550 https://arxiv.org/html/2508.02550

Enrico Franconi, Beno\^it Groz, Jan Hidders, Nina Pardal, S{\l}awek Staworko, Jan Van den Bussche, Piotr Wieczorek: The KG-ER Conceptual Schema Language https://arxiv.org/abs/2508.02548 https://arxiv.org/pdf/2508.02548 https://arxiv.org/html/2508.02548

Valeria Ruscio, Umberto Nanni, Fabrizio Silvestri: What are you sinking? A geometric approach on attention sink https://arxiv.org/abs/2508.02546 https://arxiv.org/pdf/2508.02546 https://arxiv.org/html/2508.02546

Peter Hamfelt, Ricardo Britto, Lincoln Rocha, Camilo Almendra: Automatic Identification of Machine Learning-Specific Code Smells https://arxiv.org/abs/2508.02541 https://arxiv.org/pdf/2508.02541 https://arxiv.org/html/2508.02541

Xiaowei Yuan, Lei Jin, Haoxin Zhang, Yan Gao, Yi Wu, Yao Hu, Ziyang Huang, Jun Zhao, Kang Liu: Decomposed Reasoning with Reinforcement Learning for Relevance Assessment in UGC Platforms https://arxiv.org/abs/2508.02506 https://arxiv.org/pdf/2508.02506 https://arxiv.org/html/2508.02506

An, Kim, Seo, Park, Kang, Oh, Kim, Lee: AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration https://arxiv.org/abs/2508.02470 https://arxiv.org/pdf/2508.02470 https://arxiv.org/html/2508.02470

Daniele Cipollone, Egor Bogomolov, Arie van Deursen, Maliheh Izadi: TreeRanker: Fast and Model-agnostic Ranking System for Code Suggestions in IDEs https://arxiv.org/abs/2508.02455 https://arxiv.org/pdf/2508.02455 https://arxiv.org/html/2508.02455

Hu, Guo, Tian, Xue, Wang, Qi, Lin, Wang, Chen: Dynamic Forgetting and Spatio-Temporal Periodic Interest Modeling for Local-Life Service Recommendation https://arxiv.org/abs/2508.02451 https://arxiv.org/pdf/2508.02451 https://arxiv.org/html/2508.02451

Gaggioli, Casaburi, Ercolani, Collova', Torre, Davide: Assessing the Reliability and Validity of Large Language Models for Automated Assessment of Student Essays in Higher Education https://arxiv.org/abs/2508.02442 https://arxiv.org/pdf/2508.02442 https://arxiv.org/html/2508.02442

Justin Hehli, Marco Heiniger, Maryam Rezayati, Hans Wernher van de Venn: Multi-Class Human/Object Detection on Robot Manipulators using Proprioceptive Sensing https://arxiv.org/abs/2508.02425 https://arxiv.org/pdf/2508.02425 https://arxiv.org/html/2508.02425

Akshay Dodwadmath, Setareh Maghsudi: Emergence of Fair Leaders via Mediators in Multi-Agent Reinforcement Learning https://arxiv.org/abs/2508.02421 https://arxiv.org/pdf/2508.02421 https://arxiv.org/html/2508.02421

Xiao Wang, Hao Si, Fan Zhang, Xiaoya Zhou, Dengdi Sun, Wanli Lyu, Qingquan Yang, Jin Tang: HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis https://arxiv.org/abs/2508.02411 https://arxiv.org/pdf/2508.02411 https://arxiv.org/html/2508.02411

Yimeng Liu, Maolin Gan, Huaili Zeng, Li Liu, Younsuk Dong, Zhichao Cao: Hydra: Accurate Multi-Modal Leaf Wetness Sensing with mm-Wave and Camera Fusion https://arxiv.org/abs/2508.02409 https://arxiv.org/pdf/2508.02409 https://arxiv.org/html/2508.02409

Xiaolin Lin, Jingcun Wang, Olga Kondrateva, Yiyu Shi, Bing Li, Grace Li Zhang: CompressKV: Semantic Retrieval Heads Know What Tokens are Not Important Before Generation https://arxiv.org/abs/2508.02401 https://arxiv.org/pdf/2508.02401 https://arxiv.org/html/2508.02401

Yizhu Jin, Zhen Ye, Zeyue Tian, Haohe Liu, Qiuqiang Kong, Yike Guo, Wei Xue: Inference-time Scaling for Diffusion-based Audio Super-resolution https://arxiv.org/abs/2508.02391 https://arxiv.org/pdf/2508.02391 https://arxiv.org/html/2508.02391

Xu Wang, Shengeng Tang, Fei Wang, Lechao Cheng, Dan Guo, Feng Xue, Richang Hong: Text2Lip: Progressive Lip-Synced Talking Face Generation from Text via Viseme-Guided Rendering https://arxiv.org/abs/2508.02362 https://arxiv.org/pdf/2508.02362 https://arxiv.org/html/2508.02362

Park, Kim, Choi, Cho, Kim, Lee, Jeon, Kim: mmWave Radar-Based Non-Line-of-Sight Pedestrian Localization at T-Junctions Utilizing Road Layout Extraction via Camera https://arxiv.org/abs/2508.02348 https://arxiv.org/pdf/2508.02348 https://arxiv.org/html/2508.02348

Wenyuan Liu, Haoqian Meng, Yilun Luo, Peng Zhang, Xindian Ma: MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models https://arxiv.org/abs/2508.02343 https://arxiv.org/pdf/2508.02343 https://arxiv.org/html/2508.02343

Ma, Zheng, Shi, Zhao, Jia, Huang, Lin, Li, Yang, Peng, Zhang, Liu: VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo https://arxiv.org/abs/2508.02317 https://arxiv.org/pdf/2508.02317 https://arxiv.org/html/2508.02317