DINOv3 Collection DINOv3: foundation models producing excellent dense features, outperforming SotA w/o fine-tuning - https://arxiv.org/abs/2508.10104 • 13 items • Updated Aug 21 • 398
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs Paper • 2508.16153 • Published Aug 22 • 158
A Survey of Context Engineering for Large Language Models Paper • 2507.13334 • Published Jul 17 • 259
DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception Paper • 2410.12628 • Published Oct 16, 2024 • 41
Slim attention: cut your context memory in half without loss of accuracy -- K-cache is all you need for MHA Paper • 2503.05840 • Published Mar 7 • 3
view article Article Train 400x faster Static Embedding Models with Sentence Transformers Jan 15 • 219
CodePlan: Repository-level Coding using LLMs and Planning Paper • 2309.12499 • Published Sep 21, 2023 • 79
Training Language Models to Self-Correct via Reinforcement Learning Paper • 2409.12917 • Published Sep 19, 2024 • 140
Phi-3 Collection Phi-3 family of small language and multi-modal models. Language models are available in short- and long-context lengths. • 26 items • Updated May 1 • 574
ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models Paper • 2404.11086 • Published Apr 17, 2024 • 2