1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training
Mingjie Liu, Shizhe Diao, Jian Hu +19
Recent advancements in reasoning-focused language models such as OpenAI's O1 and DeepSeek-R1 have shown that scaling test-time computation-through chain-of-thought reasoning and it…
cs.CV2024★ 1 cited
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Min Shi, Fuxiao Liu, Shihao Wang +13
The ability to accurately interpret complex visual information is a crucial topic of multimodal large language models (MLLMs). Recent work indicates that enhanced visual perception…