Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs Paper • 2410.10739 • Published Oct 14 • 1
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs Paper • 2410.10739 • Published Oct 14 • 1 • 1
A Comprehensive Evaluation of Quantized Instruction-Tuned Large Language Models: An Experimental Analysis up to 405B Paper • 2409.11055 • Published Sep 17 • 16 • 3
Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems Paper • 2404.01616 • Published Apr 2 • 2
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference Paper • 2407.14057 • Published Jul 19 • 44 • 3
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference Paper • 2407.14057 • Published Jul 19 • 44
In-Context Editing: Learning Knowledge from Self-Induced Distributions Paper • 2406.11194 • Published Jun 17 • 15 • 5
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models Paper • 2407.09025 • Published Jul 12 • 129 • 18
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients Paper • 2407.08296 • Published Jul 11 • 31