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Abstract page for arXiv paper 2509.22186: MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing vision language model efficient high 2509 decoupled resolution https://www.liquid.ai/blog/lfm2-vl-efficient-vision-language-models LFM2-VL: Efficient Vision-Language Models | Liquid AI Oct 21, 2025 - Today, we release LFM2-VL, our first series of vision-language foundation models. These multimodal models are designed for low-latency and device-aware... vision language models liquid ai lfm2 vl efficient https://sakana.ai/taid/ TAID: A Novel Method for Efficient Knowledge Transfer from Large Language Models to Small Language... TAID: A Novel Method for Efficient Knowledge Transfer from Large Language Models to Small Language Models large language models novel method knowledge transfer taid efficient https://arxiv.org/abs/2309.06180 [2309.06180] Efficient Memory Management for Large Language Model Serving with PagedAttention Abstract page for arXiv paper 2309.06180: Efficient Memory Management for Large Language Model Serving with PagedAttention large language model efficient memory 2309 management serving https://huggingface.co/papers/2309.06180 Paper page - Efficient Memory Management for Large Language Model Serving with PagedAttention Join the discussion on this paper page large language model efficient memory paper management serving https://arxiv.org/abs/2309.00071 [2309.00071] YaRN: Efficient Context Window Extension of Large Language Models Abstract page for arXiv paper 2309.00071: YaRN: Efficient Context Window Extension of Large Language Models large language models efficient context 2309 yarn window https://techcrunch.com/2023/07/11/fileread/ Backed by Gradient, Fileread uses large language models to make legal discovery more efficient |... Jul 12, 2023 - Legal discovery is one of the most time-consuming parts of litigation and typically involves team of specialists combing through towers of documents. Fileread,... large language models backed gradient uses make https://www.semanticscholar.org/reader/57e849d0de13ed5f91d086936296721d4ff75a75 [PDF] LLaMA: Open and Efficient Foundation Language Models | Semantic Scholar An academic search engine that utilizes artificial intelligence methods to provide highly relevant results and novel tools to filter them with ease. models semantic scholar pdf llama open efficient https://lelapa.ai/blog Blog — Insights on Language AI & Resource-Efficient Systems | Lelapa AI Insights on language AI, resource-efficient systems, and building technology for the Global South from the Lelapa AI team. language ai resource efficient blog insights systems https://huggingface.co/papers/2309.00071 Paper page - YaRN: Efficient Context Window Extension of Large Language Models Join the discussion on this paper page large language models efficient context paper yarn window https://huggingface.co/papers/2403.13372 Paper page - LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models Join the discussion on this paper page efficient fine tuning language models paper llamafactory unified https://www.huaweicloud.com/intl/en-us/product/cloudbuild.html CodeArts Build – Multi-language – Efficient-HUAWEI CLOUD An easy-to-configure platform that supports multi-language parallel builds on the cloud. Its distributed acceleration helps enterprises improve build... multi language huawei cloud codearts build efficient https://arxiv.org/abs/2403.13372 [2403.13372] LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models Abstract page for arXiv paper 2403.13372: LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models efficient fine tuning language models 2403 13372 llamafactory https://huggingface.co/papers/2509.22186 Paper page - MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document... Join the discussion on this paper page vision language model efficient high paper 5 decoupled https://www.amazon.science/publications/exploring-fine-tuning-for-in-context-retrieval-and-efficient-kv-caching-in-long-context-language-models Exploring fine-tuning for in-context retrieval and efficient KV-caching in long-context language... With context windows of millions of tokens, Long-Context Language Models (LCLMs) can encode entire document collections, offering a strong alternative to... fine tuning exploring context retrieval efficient