🚨 New Paper co-led with byeongguk jeon 🚨 Q. Can we adapt Language Models, trained to predict next token, to reason in sentence-level? I think LMs operating in higher-level abstraction would be a promising path towards advancing its reasoning, and I am excited to share our

📣Thrilled to announce the drop of EXAONE 4.0, the next-generation hybrid AI. 🙌Prepare to be amazed by EXAONE’s capabilities. #EXAONE #LG_AI_Resrarch #HybridAI #AI lgresearch.ai/blog/view?seq=…

Introducing our new work: 🚀Mixture-of-Recursions! 🪄We propose a novel framework that dynamically allocates recursion depth per token. 🪄MoR is an efficient architecture with fewer params, reduced KV cache memory, and 2× greater throughput— maintaining comparable performance!

✨Huge thanks for interest in Mixture-of-Recursions! Codes are officially out! It's been a long journey exploring Early-exiting with Recursive Architecture. I'll soon post my 👨‍🎓PhD thesis on Adaptive Computation too! Code: github.com/raymin0223/mix… Paper: arxiv.org/abs/2507.10524