MobileLLM Collection Optimizing Sub-billion Parameter Language Models for On-Device Use Cases (ICML 2024) https://arxiv.org/abs/2402.14905 • 8 items • Updated 12 days ago • 95
C4AI Aya Expanse Collection Aya Expanse is an open-weight research release of a model with highly advanced multilingual capabilities. • 3 items • Updated 26 days ago • 26
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs Paper • 2404.05719 • Published Apr 8 • 80
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation Paper • 2409.12941 • Published Sep 19 • 22
Moshi v0.1 Release Collection MLX, Candle & PyTorch model checkpoints released as part of the Moshi release from Kyutai. Run inference via: https://github.com/kyutai-labs/moshi • 13 items • Updated Sep 18 • 218
Training Language Models to Self-Correct via Reinforcement Learning Paper • 2409.12917 • Published Sep 19 • 134
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs Paper • 2409.05152 • Published Sep 8 • 30
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data Paper • 2409.03810 • Published Sep 5 • 30
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning Paper • 2402.10110 • Published Feb 15 • 3
LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA Paper • 2409.02897 • Published Sep 4 • 44
Writing in the Margins: Better Inference Pattern for Long Context Retrieval Paper • 2408.14906 • Published Aug 27 • 138
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models Paper • 2408.15915 • Published Aug 28 • 19
view article Article Improving Hugging Face Training Efficiency Through Packing with Flash Attention Aug 21 • 22
view article Article Perspectives for first principles prompt engineering By KnutJaegersberg • Aug 18 • 16
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts Paper • 2408.08274 • Published Aug 15 • 12
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities Paper • 2408.04682 • Published Aug 8 • 14