{"total":50,"rows":[{"id":"2502.11528","title":"A Survey of Personalized Large Language Models: Progress and Future Directions","created":"2025-02-17","cited_by_count":71,"area":null},{"id":"2504.17119","title":"The Rise of Small Language Models in Healthcare: A Comprehensive Survey","created":"2025-04-23","cited_by_count":18,"area":null},{"id":"2505.16508","title":"Edge-First Language Model Inference: Models, Metrics, and Tradeoffs","created":"2025-05-22","cited_by_count":13,"area":null},{"id":"2502.00641","title":"Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance","created":"2025-02-02","cited_by_count":12,"area":null},{"id":"2503.00686","title":"GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development","created":"2025-03-02","cited_by_count":10,"area":null},{"id":"2507.22478","title":"SLM-SQL: An Exploration of Small Language Models for Text-to-SQL","created":"2025-07-30","cited_by_count":10,"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":"2502.11100","title":"Towards Achieving Concept Completeness for Textual Concept Bottleneck Models","created":"2025-02-16","cited_by_count":7,"area":null},{"id":"2510.13890","title":"A Survey on Collaborating Small and Large Language Models for Performance, Cost-effectiveness, Cloud-edge Privacy, and Trustworthiness","created":"2025-10-14","cited_by_count":7,"area":null},{"id":"2505.00985","title":"Position: Enough of Scaling LLMs! Lets Focus on Downscaling","created":"2025-05-02","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":"2503.09579","title":"Cost-Optimal Grouped-Query Attention for Long-Context Modeling","created":"2025-03-12","cited_by_count":4,"area":null},{"id":"2503.12167","title":"PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing","created":"2025-03-15","cited_by_count":4,"area":null},{"id":"2509.05818","title":"Chatbot To Help Patients Understand Their Health","created":"2025-09-06","cited_by_count":4,"area":null},{"id":"2505.06461","title":"Challenging GPU Dominance: When CPUs Outperform for On-Device LLM Inference","created":"2025-05-09","cited_by_count":3,"area":null},{"id":"2508.11834","title":"Recent Advances in Transformer and Large Language Models for UAV Applications","created":"2025-08-15","cited_by_count":3,"area":null},{"id":"2512.02716","title":"Menta: A Small Language Model for On-Device Mental Health Prediction","created":"2025-12-02","cited_by_count":3,"area":null},{"id":"2501.05478","title":"Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models","created":"2025-01-07","cited_by_count":2,"area":null},{"id":"2506.15687","title":"S$^2$GPT-PINNs: Sparse and Small models for PDEs","created":"2025-05-25","cited_by_count":2,"area":null},{"id":"2510.05858","title":"DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization","created":"2025-10-07","cited_by_count":2,"area":null},{"id":"2510.08600","title":"Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation","created":"2025-10-06","cited_by_count":2,"area":null},{"id":"2511.03370","title":"EQ-Negotiator: Dynamic Emotional Personas Empower Small Language Models for Edge-Deployable Credit Negotiation","created":"2025-11-05","cited_by_count":2,"area":null},{"id":"2411.06402","title":"Fineweb-Edu-Ar: Machine-translated Corpus to Support Arabic Small Language Models","created":"2024-11-10","cited_by_count":1,"area":null},{"id":"2412.14501","title":"Do Large Language Models Advocate for Inferentialism?","created":"2024-12-19","cited_by_count":1,"area":null},{"id":"2503.01869","title":"From Small to Large Language Models: Revisiting the Federalist Papers","created":"2025-02-25","cited_by_count":1,"area":null},{"id":"2506.07424","title":"Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models","created":"2025-06-09","cited_by_count":1,"area":null},{"id":"2506.13772","title":"MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs","created":"2025-06-05","cited_by_count":1,"area":null},{"id":"2507.06795","title":"ixi-GEN: Efficient Industrial sLLMs through Domain Adaptive Continual Pretraining","created":"2025-07-09","cited_by_count":1,"area":null},{"id":"2607.03801","title":"Punching Above Their Weight: Classification-Head Fine-Tuning of Tiny Language Models (TLMs) for Verifiable Multiple-Choice Tasks","created":"2026-07-04","cited_by_count":1,"area":null},{"id":"2607.20216","title":"Small, Free, and Effective: Orchestrating Open-Weight Small Language Models to Outperform Single LLM for Malware Analysis","created":"2026-07-22","cited_by_count":1,"area":null},{"id":"2506.03822","title":"CRAWLDoc: A Dataset for Robust Ranking of Bibliographic Documents","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2506.07695","title":"Towards a Small Language Model Lifecycle Framework","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2506.12403","title":"Bridging the Digital Divide: Small Language Models as a Pathway for Physics and Photonics Education in Underdeveloped Regions","created":"2025-06-14","cited_by_count":0,"area":null},{"id":"2506.13514","title":"TensorSLM: Energy-efficient Embedding Compression of Sub-billion Parameter Language Models on Low-end Devices","created":"2025-06-16","cited_by_count":0,"area":null},{"id":"2506.17019","title":"Instituto de Telecomunica\\c{c}\\~oes at IWSLT 2025: Aligning Small-Scale Speech and Language Models for Speech-to-Text Learning","created":"2025-06-20","cited_by_count":0,"area":null},{"id":"2509.00680","title":"Do small language models generate realistic variable-quality fake news headlines?","created":"2025-08-31","cited_by_count":0,"area":null},{"id":"2511.03466","title":"Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction","created":"2025-11-05","cited_by_count":0,"area":null},{"id":"2602.02632","title":"Performance of Small Language Model Pretraining on FABRIC: An Empirical Study","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2603.21419","title":"Is the future of AI green? What can innovation diffusion models say about generative AI's environmental impact?","created":"2026-03-22","cited_by_count":0,"area":null},{"id":"2604.02367","title":"Evaluating Small Language Models for Front-Door Routing: A Harmonized Benchmark and Synthetic-Traffic Experiment","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2604.11512","title":"EdgeCIM: A Hardware-Software Co-Design for CIM-Based Acceleration of Small Language Models","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2604.15357","title":"Taming Asynchronous CPU-GPU Coupling for Frequency-aware Latency Estimation on Mobile Edge","created":"2026-04-11","cited_by_count":0,"area":null},{"id":"2605.25394","title":"Second Guess: Detecting Uncertainty Through Abstention and Answer Stability in Small Language Models","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2607.22556","title":"MIITA: Memory-Induced Inference-Time Adaptation for Continual Learning with Small Language Models","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2608.00042","title":"Trustworthiness Costs of Domain Adaptation in Small Language Models:A Cross-Architecture Empirical Study","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2608.04488","title":"Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.06609","title":"Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2608.14377","title":"A Survey of Large Models in Sports","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2609.21109","title":"Talk to Me, Jarvis: An Open-Source Edge-Deployable Voice Assistant Framework for Autonomous Racecars","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2610.02001","title":"Mingbird: A Local-First Agent Harness Enabling Small Open Models to Complete Real Tasks","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":null}