OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling

N/A

OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling Haoyang Liu1∗, Jie Wang1†, Yuyang Cai1 , Xiongwei Han2 , Yufei Kuang1 , Jianye Hao2,3 1 MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China,…

saved by

• Akash Singirikonda

related reading

• the-illusion-of-thinking.pdfml-site.cdn-apple.com
• [2305.18290] Direct Preference Optimization: Your Language Model is Secretly a Reward Modelarxiv.org
• [2201.11903] Chain of Thought Prompting Elicits Reasoning in Large Language Modelsarxiv.org
• Tree of Thoughts (ToT) | Prompt Engineering Guidepromptingguide.ai
• [2507.19457] GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learningarxiv.org
• Stream of Search (SoS): Learning to Search in Languagearxiv.org
• [2402.12374] Sequoia: Scalable, Robust, and Hardware-aware Speculative Decodingarxiv.org
• [2604.13010] Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillationarxiv.org
• [2602.19362] LLMs Can Learn to Reason Via Off-Policy RLarxiv.org
• Training Large Language Models to Reason in a Continuous Latent Spacearxiv.org
• [2603.07267] How to Steal Reasoning Without Reasoning Tracesarxiv.org
• Reasoning Models Reason Well, Until They Don'tarxiv.org