Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems
Paper • 2604.04767 • Published • 1
Justin Chen
dinobby
AI & ML interests
None yet
Recent Activity
submitted a paper about 10 hours ago
Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems updated a dataset 1 day ago
dinobby/Cog-DRIFT-Dataset published a dataset 1 day ago
dinobby/Cog-DRIFT-DatasetOrganizations
None yet
submitted a
paper to Daily Papers about 10 hours ago
updated a
dataset 1 day ago
published a
dataset 1 day ago
updated a
model 10 days ago
published a
model 10 days ago
updated a
model 12 days ago
published a
model 12 days ago
upvoted a paper about 2 months ago
updated a
dataset 2 months ago
published a
dataset 3 months ago
updated a
dataset 3 months ago
published a
dataset 3 months ago
updated a
dataset 4 months ago
published a
dataset 4 months ago
published 6
models 5 months ago
dinobby/OctoThinker-3B-Hybrid-Zero-NuRL-GPTo4-mini
4B • Updated • 1
dinobby/OctoThinker-3B-Hybrid-Zero-NuRL-Self
4B • Updated
dinobby/OctoThinker-3B-Hybrid-Zero-GRPO
4B • Updated • 2
dinobby/Qwen3-4B-Instruct-2507-NuRL-GPTo4-mini
4B • Updated • 3
dinobby/Qwen3-4B-Instruct-2507-NuRL-Self
4B • Updated • 3
dinobby/Llama3.2-3B-Instruct-NuRL-GPTo4-mini
4B • Updated