{"total":18,"rows":[{"id":"2401.08565","title":"Tuning Language Models by Proxy","created":"2024-01-16","cited_by_count":89,"area":null},{"id":"2403.03870","title":"Learning to Decode Collaboratively with Multiple Language Models","created":"2024-03-06","cited_by_count":62,"area":null},{"id":"2406.02888","title":"HYDRA: Model Factorization Framework for Black-Box LLM Personalization","created":"2024-06-05","cited_by_count":60,"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":"2409.06857","title":"What is the Role of Small Models in the LLM Era: A Survey","created":"2024-09-10","cited_by_count":41,"area":null},{"id":"2403.03129","title":"CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following","created":"2024-03-05","cited_by_count":33,"area":null},{"id":"2306.00168","title":"Measuring the Robustness of NLP Models to Domain Shifts","created":"2023-05-31","cited_by_count":11,"area":null},{"id":"2402.08219","title":"BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models","created":"2024-02-13","cited_by_count":11,"area":null},{"id":"2410.10870","title":"PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches","created":"2024-10-08","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":"2311.08306","title":"On-the-Fly Fusion of Large Language Models and Machine Translation","created":"2023-11-14","cited_by_count":5,"area":null},{"id":"2410.00362","title":"FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices","created":"2024-10-01","cited_by_count":5,"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":"2311.07430","title":"Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor","created":"2023-11-13","cited_by_count":2,"area":null},{"id":"2503.10367","title":"Large-Small Model Collaboration for Enhancing Edge-Deployed Small Models","created":"2025-03-13","cited_by_count":2,"area":null},{"id":"2505.19888","title":"Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations","created":"2025-05-26","cited_by_count":1,"area":null},{"id":"2505.23223","title":"Daunce: Data Attribution through Uncertainty Estimation","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2511.10210","title":"Advanced Black-Box Tuning of Large Language Models with Limited API Calls","created":"2025-11-13","cited_by_count":1,"area":null}],"next_cursor":null}