Tessa-T1 REACT REASONING MODEL Collection Tessa-T1 is a model that generates Stateful React with tailwind styling. It has features of other libraries as well. It is based on Qwen2.5-Coder. • 5 items • Updated about 1 month ago • 6
Building and better understanding vision-language models: insights and future directions Paper • 2408.12637 • Published Aug 22, 2024 • 130
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning Paper • 2503.19470 • Published 29 days ago • 17
Modifying Large Language Model Post-Training for Diverse Creative Writing Paper • 2503.17126 • Published Mar 21 • 36
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders Paper • 2503.18878 • Published 30 days ago • 117
TxGemma Release Collection Collection of open models to accelerate the development of therapeutics. • 5 items • Updated 20 days ago • 49
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization Paper • 2503.12937 • Published Mar 17 • 28
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing Paper • 2503.10639 • Published Mar 13 • 50
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks Paper • 2406.12925 • Published Jun 14, 2024 • 26
Learning from Failures in Multi-Attempt Reinforcement Learning Paper • 2503.04808 • Published Mar 4 • 18
EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer Paper • 2503.07027 • Published Mar 10 • 29
AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning Paper • 2503.07608 • Published Mar 10 • 23