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🚨New Paper: Better search for reasoning (e.g., web tasks) usually requires costly💰demos/rewards What if we only self-improve LLMs on state transitions—capturing a classic RL method in natural language? Spoiler: It works (⬆️39% over base model) & enables efficient search!🚀 🧵

🚨o3-mini vastly outperforms DeepSeek-R1 on an unseen probabilistic reasoning task! Introducing k-anonymity estimation: a novel task to assess privacy risks in sensitive texts Unlike conventional math and logical reasoning, this is difficult for both humans and AI models. 1/7

.NAVER_official has been working large scale language models already from 2019, constantly training large models and even using them commercially. it has been a great pleasure for me to see their work closely over the past years. i am so glad to see their hyperclovax models are

Excited to share our paper on uncovering prompting patterns in Frontier LLMs using automated meta-analysis at ACL 2025 #ACL2025