awesome-reasoning-foundation-models
github.com/reasoning-survey/awesome-reasoning-foundation-models ↗✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models
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1 Relevant Surveys and Links2 Foundation Models3 Reasoning Tasks4 Reasoning Techniques
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 3.5 visual reasoning resources from awesome-reasoning-foundation-models"
Installation instructions →What's inside
3 Reasoning Tasks
- 3D-LLM: Injecting the 3D World into Large Language Models3.5 Visual Reasoning
- 3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment3.5 Visual Reasoning
- Abductive Commonsense Reasoning3.1 Commonsense Reasoning
- Abductive Learning with Ground Knowledge Base3.3 Logical Reasoning
- A Challenger to GPT-4V? Early Explorations of Gemini in Visual ExpertisePaper3.7 Multimodal Reasoning
- A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers3.2 Mathematical Reasoning
4 Reasoning Techniques
- AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning4.2 Fine-Tuning
- Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning4.2 Fine-Tuning
- An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training4.4 Mixture of Experts (MoE)
- ART: Automatic multi-step reasoning and tool-use for large language models4.6 Autonomous Agent
- arXiv4.2 Fine-Tuning
- arXiv4.4 Mixture of Experts (MoE)
2 Foundation Models
Showing a sample of 589 resources. View the full list on GitHub →