FLM-101B: An Open LLM and How to Train It with $100K Budget Paper • 2309.03852 • Published Sep 7, 2023 • 44
CityDreamer: Compositional Generative Model of Unbounded 3D Cities Paper • 2309.00610 • Published Sep 1, 2023 • 19
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior Paper • 2309.00359 • Published Sep 1, 2023 • 21
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback Paper • 2309.00267 • Published Sep 1, 2023 • 47
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models Paper • 2309.00986 • Published Sep 2, 2023 • 20
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models Paper • 2308.06721 • Published Aug 13, 2023 • 30
The Hydra Effect: Emergent Self-repair in Language Model Computations Paper • 2307.15771 • Published Jul 28, 2023 • 19
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs Paper • 2307.16789 • Published Jul 31, 2023 • 99
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities Paper • 2308.02490 • Published Aug 4, 2023 • 17
TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents Paper • 2308.03427 • Published Aug 7, 2023 • 15
Simple synthetic data reduces sycophancy in large language models Paper • 2308.03958 • Published Aug 7, 2023 • 22
LLM-Rec: Personalized Recommendation via Prompting Large Language Models Paper • 2307.15780 • Published Jul 24, 2023 • 27