OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Paper
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2410.23218
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Published
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46
Fangzhi Xu
xufangzhi
AI & ML interests
Natural Language Processing，Large Language Models
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28 days ago
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
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OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
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xufangzhi's activity
authored
a
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28 days ago
upvoted
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5 months ago
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
Paper
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2306.09841
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2
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models
Paper
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2311.09278
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Published
•
7
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering
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2405.19109
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2
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models
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2406.11736
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📣Thrilled to make public our recent work ENVISIONS !!!
- Without human annotations !
- Without Distilling Strong LLMs !
- Self-improve LLMs in the environment
- Amazing performances on agentic and reasoning tasks
- Insightful analysis on "why" questions
📝 Title: Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models
📎 Repo: https://github.com/xufangzhi/ENVISIONS
- Without human annotations !
- Without Distilling Strong LLMs !
- Self-improve LLMs in the environment
- Amazing performances on agentic and reasoning tasks
- Insightful analysis on "why" questions
📝 Title: Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models
📎 Repo: https://github.com/xufangzhi/ENVISIONS
posted
an
update
5 months ago
Post
463
📣Thrilled to make public our recent work ENVISIONS !!!
- Without human annotations !
- Without Distilling Strong LLMs !
- Self-improve LLMs in the environment
- Amazing performances on agentic and reasoning tasks
- Insightful analysis on "why" questions
📝 Title: Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models
📎 Repo: https://github.com/xufangzhi/ENVISIONS
- Without human annotations !
- Without Distilling Strong LLMs !
- Self-improve LLMs in the environment
- Amazing performances on agentic and reasoning tasks
- Insightful analysis on "why" questions
📝 Title: Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models
📎 Repo: https://github.com/xufangzhi/ENVISIONS
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8 months ago
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Check out our work Symbol-LLM ! We have open-sourced both 7B / 13B model weights, as well as part of the symbolic collections ! Try it !
Paper link: Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models (2311.09278)
Model weights: Symbol-LLM/Symbol-LLM-7B-Instruct
Paper link: Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models (2311.09278)
Model weights: Symbol-LLM/Symbol-LLM-7B-Instruct
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