10 AI Systems for Scientific Research 
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10 AI Systems for Scientific Research 
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Almost every AI researcher has studied or conducted a large number of AI research papers. So, it's quite logical that researchers are trying to create AI systems to help conduct research. Creating scientific research could be much easier and more varied if we use LLMs and AI assistants tailored for this purpose. Just imagine how interesting it would be to read high-quality research about AI made by an AI agent.
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Almost every AI researcher has studied or conducted a large number of AI research papers. So, it's quite logical that researchers are trying to create AI systems to help conduct research. Creating scientific research could be much easier and more varied if we use LLMs and AI assistants tailored for this purpose. Just imagine how interesting it would be to read high-quality research about AI made by an AI agent.
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Today, we offer you to explore these 10 AI systems for scientific research:
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Today, we offer you to explore these 10 AI systems for scientific research:
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1. Agent Laboratory framework helps researchers  input their ideas by generating a research report and code repository: 
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1. Agent Laboratory framework helps researchers  input their ideas by generating a research report and code repository: 
Agent Laboratory: Using LLM Agents as Research Assistants (2501.04227)
https://huggingface.co/papers/2501.04227
2501.04227
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https://huggingface.co/papers/2501.04227
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2. AI Scientist performs fully automated scientific discovery including creating ideas: 
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2. AI Scientist performs fully automated scientific discovery including creating ideas: 
The AI Scientist: Towards Fully Automated Open-Ended Scientific
  Discovery (2408.06292)
https://huggingface.co/papers/2408.06292
2408.06292
paper
resource
https://huggingface.co/papers/2408.06292
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3. SciMON generates new ideas derived from the scientific literature: 
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3. SciMON generates new ideas derived from the scientific literature: 
Learning to Generate Novel Scientific Directions with Contextualized
  Literature-based Discovery (2305.14259)
https://huggingface.co/papers/2305.14259
2305.14259
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resource
https://huggingface.co/papers/2305.14259
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4. ResearchAgent implements LLMs to automate idea generation, methods, and experiment design, and ReviewingAgents' feedback to refine ideas: 
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4. ResearchAgent implements LLMs to automate idea generation, methods, and experiment design, and ReviewingAgents' feedback to refine ideas: 
ResearchAgent: Iterative Research Idea Generation over Scientific
  Literature with Large Language Models (2404.07738)
https://huggingface.co/papers/2404.07738
2404.07738
paper
resource
https://huggingface.co/papers/2404.07738
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5. Scientific Generative Agent (SGA) discovers novel, coherent solutions in physics and molecular design: 
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5. Scientific Generative Agent (SGA) discovers novel, coherent solutions in physics and molecular design: 
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance
  Physical Scientific Discovery (2405.09783)
https://huggingface.co/papers/2405.09783
2405.09783
paper
resource
https://huggingface.co/papers/2405.09783
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6. MLRCopilot boosts machine learning research: 
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6. MLRCopilot boosts machine learning research: 
MLR-Copilot: Autonomous Machine Learning Research based on Large
  Language Models Agents (2408.14033)
https://huggingface.co/papers/2408.14033
2408.14033
paper
resource
https://huggingface.co/papers/2408.14033
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7. SciAgents accelerates material science discovery through combining knowledge graphs, LLMs, and multi-agent systems. 
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7. SciAgents accelerates material science discovery through combining knowledge graphs, LLMs, and multi-agent systems. 
SciAgents: Automating scientific discovery through multi-agent
  intelligent graph reasoning (2409.05556)
https://huggingface.co/papers/2409.05556
2409.05556
paper
resource
https://huggingface.co/papers/2409.05556
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8. VirSci multi-agent system mimics teamwork among scientists. 
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8. VirSci multi-agent system mimics teamwork among scientists. 
Two Heads Are Better Than One: A Multi-Agent System Has the Potential to
  Improve Scientific Idea Generation (2410.09403)
https://huggingface.co/papers/2410.09403
2410.09403
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https://huggingface.co/papers/2410.09403
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9. Chain-of-Ideas (CoI) agent organizes research into a chain structure.  
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9. Chain-of-Ideas (CoI) agent organizes research into a chain structure.  
Chain of Ideas: Revolutionizing Research in Novel Idea Development with
  LLM Agents (2410.13185)
https://huggingface.co/papers/2410.13185
2410.13185
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https://huggingface.co/papers/2410.13185
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10. A system with CycleResearcher and CycleReviewer generates research papers and peer reviews: 
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10. A system with CycleResearcher and CycleReviewer generates research papers and peer reviews: 
CycleResearcher: Improving Automated Research via Automated Review (2411.00816)
https://huggingface.co/papers/2411.00816
2411.00816
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resource
https://huggingface.co/papers/2411.00816
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LLM4SR: A Survey on Large Language Models for Scientific Research (2501.04306)
https://huggingface.co/papers/2501.04306
2501.04306
paper
resource
https://huggingface.co/papers/2501.04306
 is worth exploring to study and analyze more systems for scientific research
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 is worth exploring to study and analyze more systems for scientific research
10 AI Systems for Scientific Research 

Almost every AI researcher has studied or conducted a large number of AI research papers. So, it's quite logical that researchers are trying to create AI systems to help conduct research. Creating scientific research could be much easier and more varied if we use LLMs and AI assistants tailored for this purpose. Just imagine how interesting it would be to read high-quality research about AI made by an AI agent.

Today, we offer you to explore these 10 AI systems for scientific research:

1. Agent Laboratory framework helps researchers  input their ideas by generating a research report and code repository: https://huggingface.co/papers/2501.04227 

2. AI Scientist performs fully automated scientific discovery including creating ideas: https://huggingface.co/papers/2408.06292 

3. SciMON generates new ideas derived from the scientific literature: https://huggingface.co/papers/2305.14259 

4. ResearchAgent implements LLMs to automate idea generation, methods, and experiment design, and ReviewingAgents' feedback to refine ideas: https://huggingface.co/papers/2404.07738 

5. Scientific Generative Agent (SGA) discovers novel, coherent solutions in physics and molecular design: https://huggingface.co/papers/2405.09783

6. MLRCopilot boosts machine learning research: https://huggingface.co/papers/2408.14033

7. SciAgents accelerates material science discovery through combining knowledge graphs, LLMs, and multi-agent systems. https://huggingface.co/papers/2409.05556

8. VirSci multi-agent system mimics teamwork among scientists. https://huggingface.co/papers/2410.09403

9. Chain-of-Ideas (CoI) agent organizes research into a chain structure.  https://huggingface.co/papers/2410.13185

10. A system with CycleResearcher and CycleReviewer generates research papers and peer reviews: https://huggingface.co/papers/2411.00816

https://huggingface.co/papers/2501.04306 is worth exploring to study and analyze more systems for scientific research
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