{"total":51,"rows":[{"id":"2407.18921","title":"Mobile Edge Intelligence for Large Language Models: A Contemporary Survey","created":"2024-07-09","cited_by_count":128,"area":null},{"id":"2409.15790","title":"Small Language Models: Survey, Measurements, and Insights","created":"2024-09-24","cited_by_count":112,"area":null},{"id":"2409.00088","title":"On-Device Language Models: A Comprehensive Review","created":"2024-08-26","cited_by_count":104,"area":null},{"id":"2406.06282","title":"PowerInfer-2: Fast Large Language Model Inference on a Smartphone","created":"2024-06-10","cited_by_count":103,"area":null},{"id":"2407.05858","title":"Fast On-device LLM Inference with NPUs","created":"2024-07-08","cited_by_count":62,"area":null},{"id":"2406.10729","title":"A Comprehensive Survey of Foundation Models in Medicine","created":"2024-06-15","cited_by_count":56,"area":null},{"id":"2407.06089","title":"Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models","created":"2024-07-08","cited_by_count":44,"area":null},{"id":"2403.12844","title":"MELTing point: Mobile Evaluation of Language Transformers","created":"2024-03-19","cited_by_count":36,"area":null},{"id":"2501.11378","title":"Investigation of Whisper ASR Hallucinations Induced by Non-Speech Audio","created":"2025-01-20","cited_by_count":31,"area":null},{"id":"2409.15723","title":"Federated Large Language Models: Current Progress and Future Directions","created":"2024-09-24","cited_by_count":27,"area":null},{"id":"2412.18619","title":"Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey","created":"2024-12-16","cited_by_count":27,"area":null},{"id":"2411.02829","title":"CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration","created":"2024-11-05","cited_by_count":25,"area":null},{"id":"2501.04437","title":"Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions","created":"2025-01-08","cited_by_count":23,"area":null},{"id":"2406.12844","title":"Synergizing Foundation Models and Federated Learning: A Survey","created":"2024-06-18","cited_by_count":14,"area":null},{"id":"2402.08086","title":"Text-centric Alignment for Multi-Modality Learning","created":"2024-02-12","cited_by_count":12,"area":null},{"id":"2407.04581","title":"Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions","created":"2024-07-05","cited_by_count":10,"area":null},{"id":"2408.04619","title":"Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation","created":"2024-08-08","cited_by_count":10,"area":null},{"id":"2411.13757","title":"GenBFA: An Evolutionary Optimization Approach to Bit-Flip Attacks on LLMs","created":"2024-11-21","cited_by_count":10,"area":null},{"id":"2507.14240","title":"HuggingGraph: Understanding the Supply Chain of LLM Ecosystem","created":"2025-07-17","cited_by_count":8,"area":null},{"id":"2411.05046","title":"PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training","created":"2024-11-07","cited_by_count":7,"area":null},{"id":"2502.02790","title":"Leveraging the true depth of LLMs","created":"2025-02-05","cited_by_count":7,"area":null},{"id":"2409.18581","title":"Deep Autoregressive Models as Causal Inference Engines","created":"2024-09-27","cited_by_count":6,"area":null},{"id":"2603.16590","title":"BATQuant: Outlier-resilient MXFP4 Quantization via Learnable Block-wise Optimization","created":"2026-03-17","cited_by_count":6,"area":null},{"id":"2501.15379","title":"Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval","created":"2025-01-26","cited_by_count":5,"area":null},{"id":"2502.09003","title":"RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models","created":"2025-02-13","cited_by_count":5,"area":null},{"id":"2506.06579","title":"Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques","created":"2025-06-06","cited_by_count":5,"area":null},{"id":"2409.09536","title":"VernaCopter: Disambiguated Natural-Language-Driven Robot via Formal Specifications","created":"2024-09-14","cited_by_count":4,"area":null},{"id":"2409.19540","title":"LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models","created":"2024-09-29","cited_by_count":4,"area":null},{"id":"2411.17847","title":"SoftmAP: Software-Hardware Co-design for Integer-Only Softmax on Associative Processors","created":"2024-11-26","cited_by_count":4,"area":null},{"id":"2504.17421","title":"Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks","created":"2025-04-24","cited_by_count":4,"area":null},{"id":"2508.16703","title":"ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference","created":"2025-08-22","cited_by_count":4,"area":null},{"id":"2409.15342","title":"Recall: Empowering Multimodal Embedding for Edge Devices","created":"2024-09-09","cited_by_count":3,"area":null},{"id":"2410.16070","title":"On-Device LLMs for SMEs: Challenges and Opportunities","created":"2024-10-21","cited_by_count":2,"area":null},{"id":"2504.07247","title":"Resource-efficient Inference with Foundation Model Programs","created":"2025-04-09","cited_by_count":2,"area":null},{"id":"2601.22132","title":"Pay for Hints, Not Answers: LLM Shepherding for Cost-Efficient Inference","created":"2026-01-29","cited_by_count":2,"area":null},{"id":"2604.18302","title":"Toward Zero-Egress Psychiatric AI: On-Device LLM Deployment for Privacy-Preserving Mental Health Decision Support","created":"2026-04-20","cited_by_count":2,"area":null},{"id":"2606.29582","title":"Bilevel Optimization for Neural Architecture Search","created":"2026-06-28","cited_by_count":2,"area":null},{"id":"2402.14002","title":"Hallucinations or Attention Misdirection? The Path to Strategic Value Extraction in Business Using Large Language Models","created":"2024-02-21","cited_by_count":1,"area":null},{"id":"2411.15290","title":"GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS","created":"2024-11-22","cited_by_count":1,"area":null},{"id":"2502.11439","title":"An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning","created":"2025-02-17","cited_by_count":1,"area":null},{"id":"2505.09344","title":"GreenFactory: Ensembling Zero-Cost Proxies to Estimate Performance of Neural Networks","created":"2025-05-14","cited_by_count":1,"area":null},{"id":"2510.11598","title":"MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models","created":"2025-10-13","cited_by_count":1,"area":null},{"id":"2404.15244","title":"Image-Specific Adaptation of Transformer Encoders for Compute-Efficient Segmentation","created":"2024-04-23","cited_by_count":0,"area":null},{"id":"2411.03328","title":"Foundation Models for Rapid Autonomy Validation","created":"2024-10-22","cited_by_count":0,"area":null},{"id":"2411.09580","title":"Software Performance Engineering for Foundation Model-Powered Software","created":"2024-11-14","cited_by_count":0,"area":null},{"id":"2507.17903","title":"Federated Learning for Large-Scale Cloud Robotic Manipulation: Opportunities and Challenges","created":"2025-07-23","cited_by_count":0,"area":null},{"id":"2510.10938","title":"Redundancy as a Structural Information Principle for Learning and Generalization","created":"2025-10-13","cited_by_count":0,"area":null},{"id":"2510.16250","title":"One-Bit Quantization for Random Features Models","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2601.22002","title":"Understanding Rate-Distortion Performance in Distributed Transformer Inference","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2604.21952","title":"Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models","created":"2026-04-23","cited_by_count":0,"area":null},{"id":"2607.21624","title":"FBLayout: Optimizing Memory Layout for Efficient LLM Finetuning on Mobile GPUs","created":"2026-07-07","cited_by_count":0,"area":null}],"next_cursor":null}