Building and better understanding vision-language models: insights and future directions Paper • 2408.12637 • Published Aug 22 • 117
LLM Pruning and Distillation in Practice: The Minitron Approach Paper • 2408.11796 • Published Aug 21 • 53
Coarse Correspondence Elicit 3D Spacetime Understanding in Multimodal Language Model Paper • 2408.00754 • Published Aug 1 • 21
Compact Language Models via Pruning and Knowledge Distillation Paper • 2407.14679 • Published Jul 19 • 38
Knowledge Mechanisms in Large Language Models: A Survey and Perspective Paper • 2407.15017 • Published Jul 22 • 33
OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person Paper • 2407.16224 • Published Jul 23 • 24
DDK: Distilling Domain Knowledge for Efficient Large Language Models Paper • 2407.16154 • Published Jul 23 • 20
E5-V: Universal Embeddings with Multimodal Large Language Models Paper • 2407.12580 • Published Jul 17 • 39
Sibyl: Simple yet Effective Agent Framework for Complex Real-world Reasoning Paper • 2407.10718 • Published Jul 15 • 17
Inference Performance Optimization for Large Language Models on CPUs Paper • 2407.07304 • Published Jul 10 • 52
Understanding Alignment in Multimodal LLMs: A Comprehensive Study Paper • 2407.02477 • Published Jul 2 • 21
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems Paper • 2407.01370 • Published Jul 1 • 85
Direct Preference Knowledge Distillation for Large Language Models Paper • 2406.19774 • Published Jun 28 • 21