{"total":17,"rows":[{"id":"2403.17919","title":"LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning","created":"2024-03-26","cited_by_count":89,"area":null},{"id":"2407.14561","title":"NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals","created":"2024-07-18","cited_by_count":45,"area":null},{"id":"2406.02924","title":"Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models","created":"2024-06-05","cited_by_count":40,"area":null},{"id":"2405.10313","title":"How Far Are We From AGI: Are LLMs All We Need?","created":"2024-05-16","cited_by_count":31,"area":null},{"id":"2408.01803","title":"STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs","created":"2024-08-03","cited_by_count":31,"area":null},{"id":"2410.04199","title":"LongGenBench: Long-context Generation Benchmark","created":"2024-10-05","cited_by_count":28,"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":"2410.18785","title":"Should We Really Edit Language Models? On the Evaluation of Edited Language Models","created":"2024-10-24","cited_by_count":18,"area":null},{"id":"2402.07011","title":"FedImpro: Measuring and Improving Client Update in Federated Learning","created":"2024-02-10","cited_by_count":15,"area":null},{"id":"2410.20380","title":"FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion","created":"2024-10-27","cited_by_count":11,"area":null},{"id":"2410.12707","title":"FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression","created":"2024-10-16","cited_by_count":7,"area":null},{"id":"2501.14784","title":"DeServe: Towards Affordable Offline LLM Inference via Decentralization","created":"2025-01-04","cited_by_count":4,"area":null},{"id":"2411.14458","title":"Improving training time and GPU utilization in geo-distributed language model training","created":"2024-11-16","cited_by_count":3,"area":null},{"id":"2404.15834","title":"FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol","created":"2024-04-15","cited_by_count":2,"area":null},{"id":"2312.00843","title":"Exploring the Robustness of Decentralized Training for Large Language Models","created":"2023-12-01","cited_by_count":1,"area":null},{"id":"2502.10419","title":"A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments","created":"2025-02-04","cited_by_count":1,"area":null},{"id":"2505.10322","title":"Asynchronous Decentralized SGD under Non-Convexity: A Block-Coordinate Descent Framework","created":"2025-05-15","cited_by_count":0,"area":null}],"next_cursor":null}