Data and models for the paper: Computer Environments Elicit General Agentic Intelli. Feel free to open an issue if you have any questions or problems!
Daixuan Cheng
daixuancheng
AI & ML interests
I work on LLMs across pre-training, post-training, and agents.
Recent Activity
upvoted a paper about 2 hours ago
Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning liked a dataset 13 days ago
ByteDance-Seed/EdgeBench updated a dataset about 1 month ago
RUC-AIBOX/ClawGym-BenchOrganizations
models 144
daixuancheng/4-26-debugAdv_docker_rbs8_temp0.7_model-30BA3B-Sft_step99
31B • Updated • 3
daixuancheng/4-26-debugAdv_docker_rbs8_temp0.7_model-30BA3B-Sft_step39
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daixuancheng/4-26-debugAdv_docker_rbs8_temp0.7_model-30BA3B-Sft_step9
31B • Updated • 2
daixuancheng/4-24-30BA3B-s233-final
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daixuancheng/4-23_docker_rbs32_model-Coder_step15
Text Generation • 31B • Updated • 41
daixuancheng/0418_17K_filtered_10K_reward0.5_4b_inst
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daixuancheng/4b-0404-2k
4B • Updated • 2
daixuancheng/Qwen3-4B-Instruct-2507-LLM-in-Sandbox-RL
4B • Updated • 2 • 1
daixuancheng/Qwen3-VL-8B-Thinking_stage1_MixAllRL
9B • Updated • 1
daixuancheng/Qwen3-VL-8B-Thinking_stage3_MixAllRL_and_dataMixRatio_and_easy2hard
9B • Updated