awesome-reasoning-economy-papers
github.com/devoallen/awesome-reasoning-economy-papers ↗Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
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Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me ▶️ 3 optimization for reasoning economy part-1: post-training resources from awesome-reasoning-economy-papers"
Installation instructions →What's inside
📢 Updates
- Accelerated Test-Time Scaling with Model-Free Speculative Sampling▶️ 3 Optimization for Reasoning Economy part-1: Post-training
- Adaptive Decoding via Latent Preference Optimization▶️ 4 Optimization for Reasoning Economy part-2: Test-time Methods
- Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation▶️ 4 Optimization for Reasoning Economy part-2: Test-time Methods
- AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration▶️ 5 Discussion
- Agents Thinking Fast and Slow: A Talker-Reasoner Architecture▶️ 3 Optimization for Reasoning Economy part-1: Post-training
- Alignment faking in large language models▶️ 2 Challenges towards Reasoning Economy
Showing a sample of 156 resources. View the full list on GitHub →