Qianfan-VL: A Milestone Achievement in Chinese Multimodal AI with Domestic Chips
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Papers
Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification
LoongFlow: Directed Evolutionary Search via a Cognitive Plan-Execute-Summarize Paradigm
Articles
max-zhenyu-zhang
authored
a
paper
about 1 hour ago
DesmonDay
authored
a
paper
about 1 hour ago
Post
334
Hello everyone, We are thrilled to announce that LoongFlow has officially launched: General Agent!
This iteration introduces three major features, bringing the capabilities of intelligent agents to new heights.
1. Claude Agent SDK Deep Integration 📷
* Integrated with Claude Agent SDK: Enhancing the framework’s extensibility
* Seamless integration with the Claude Skills ecosystem, sharing powerful tool capabilities
2. Breakthrough Multi-File System Support 📷
* Say goodbye to single-file limitations: Supports complex system development at a full project level
3. Support for AI Self-Evaluation Mode 📷
* Self-evaluation: Agents can assess the quality of their own solutions, saving you the hassle of building evaluation functions
📷 For more details, check out: https://github.com/baidu-baige/LoongFlow/tree/main/agents/general_agent.
Feel free to try it out, and let us know if you have any questions or feedback! ~
This iteration introduces three major features, bringing the capabilities of intelligent agents to new heights.
1. Claude Agent SDK Deep Integration 📷
* Integrated with Claude Agent SDK: Enhancing the framework’s extensibility
* Seamless integration with the Claude Skills ecosystem, sharing powerful tool capabilities
2. Breakthrough Multi-File System Support 📷
* Say goodbye to single-file limitations: Supports complex system development at a full project level
3. Support for AI Self-Evaluation Mode 📷
* Self-evaluation: Agents can assess the quality of their own solutions, saving you the hassle of building evaluation functions
📷 For more details, check out: https://github.com/baidu-baige/LoongFlow/tree/main/agents/general_agent.
Feel free to try it out, and let us know if you have any questions or feedback! ~
ChengCui
authored
a
paper
3 days ago
ChengCui
submitted
a
paper
to Daily Papers
3 days ago
wanderhzz
authored
2
papers
8 days ago
DaisyGrace
authored
a
paper
9 days ago
Post
1441
Really thanks to the community for their help! LoongFlow now has its first Chinese hands-on video!
Version 2.0 is under intensive development. The next version will support Skills, making it easier for users to create their own expert agents to solve various challenging and complex real-world problems.
Meanwhile, we are also exploring whether we can automatically generate high-quality expert Skills after a task is completed, reducing the difficulty of writing Skills and letting the LoongFlow framework automatically output the best Skills for challenging scenarios!
Version 2.0 is under intensive development. The next version will support Skills, making it easier for users to create their own expert agents to solve various challenging and complex real-world problems.
Meanwhile, we are also exploring whether we can automatically generate high-quality expert Skills after a task is completed, reducing the difficulty of writing Skills and letting the LoongFlow framework automatically output the best Skills for challenging scenarios!
Post
1034
I'm thinking about the next iteration direction for LoongFlow, and I'd appreciate any suggestions. Should we evolve the Claude Code Skills? Or the Agent structure? Or what should we evolve?
huggingface
- 3 replies
Post
2785
🥇 23 Kaggle Gold Medals. One Agent Framework.
Introducing LoongFlow: A Thinking & Learning Framework for Expert-Grade AI Agents.
Unlike traditional evolve agents(like OpenEvolve-Style), LoongFlow implements the PES (Plan-Execute-Summary) paradigm to learn from mistakes and avoid local optima.
🚀 Highlights:
* SOTA: Surpassed human mathematicians on 11 geometry/algebra problems.
* 23 Kaggle Gold Medals on MLE Bench.
* Efficiency: 60% more efficient than current baselines.
🔗 Code & Paper:
https://github.com/baidu-baige/LoongFlow
LoongFlow: Directed Evolutionary Search via a Cognitive Plan-Execute-Summarize Paradigm (2512.24077)
#AutoML #Kaggle #Agents #OpenSource #LLM
Introducing LoongFlow: A Thinking & Learning Framework for Expert-Grade AI Agents.
Unlike traditional evolve agents(like OpenEvolve-Style), LoongFlow implements the PES (Plan-Execute-Summary) paradigm to learn from mistakes and avoid local optima.
🚀 Highlights:
* SOTA: Surpassed human mathematicians on 11 geometry/algebra problems.
* 23 Kaggle Gold Medals on MLE Bench.
* Efficiency: 60% more efficient than current baselines.
🔗 Code & Paper:
https://github.com/baidu-baige/LoongFlow
LoongFlow: Directed Evolutionary Search via a Cognitive Plan-Execute-Summarize Paradigm (2512.24077)
#AutoML #Kaggle #Agents #OpenSource #LLM
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- 1 reply
SFLY5
updated
4
models
20 days ago
baidu/ERNIE-4.5-VL-28B-A3B-PT
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baidu/ERNIE-4.5-VL-28B-A3B-Base-PT
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baidu/ERNIE-4.5-VL-424B-A47B-PT
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baidu/ERNIE-4.5-VL-424B-A47B-Base-PT
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FreshmanD
authored
a
paper
24 days ago
Render timestamps on video frames for vLLM inference
1
#13 opened about 1 month ago
by
tiiktak
Post
371
Excited to share our latest achievement: best text model from China in LMArena is now ERNIE-5.0-Preview-1203!
- blog : https://ernie.baidu.com/blog/posts/ernie-5.0-preview-1203-release-on-lmarena/
- twitter: https://x.com/ErnieforDevs/status/2003132680775577793
- blog : https://ernie.baidu.com/blog/posts/ernie-5.0-preview-1203-release-on-lmarena/
- twitter: https://x.com/ErnieforDevs/status/2003132680775577793
Post
1942
To not waste Hugging Face inference providers credits. I have created a fully automated blog that generates daily city guides: https://see-the-world-by-llm.github.io/ .
The system autonomously picks a city, generates bilingual content (En/Zh) using random text generation models.
The system autonomously picks a city, generates bilingual content (En/Zh) using random text generation models.