Jeffrey Schultz PRO
jeffreyschultz
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Recent Activity
liked a model 9 days ago
peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP upvoted a collection 9 days ago
Cyber-Tiel-Coder-35B-A3B liked a dataset 7 months ago
nvidia/Nemotron-CC-Math-v1Organizations
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Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
Paper • 2603.12228 • Published • 12 -
Meta-Reinforcement Learning with Self-Reflection for Agentic Search
Paper • 2603.11327 • Published • 12 -
Training Language Models via Neural Cellular Automata
Paper • 2603.10055 • Published • 8 -
Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional Tasks
Paper • 2603.11487 • Published • 2
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OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams
Paper • 2603.12265 • Published • 14 -
EndoCoT: Scaling Endogenous Chain-of-Thought Reasoning in Diffusion Models
Paper • 2603.12252 • Published • 13 -
Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning
Paper • 2603.11653 • Published • 2
-
Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
Paper • 2603.12228 • Published • 12 -
Meta-Reinforcement Learning with Self-Reflection for Agentic Search
Paper • 2603.11327 • Published • 12 -
Training Language Models via Neural Cellular Automata
Paper • 2603.10055 • Published • 8 -
Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional Tasks
Paper • 2603.11487 • Published • 2
-
OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams
Paper • 2603.12265 • Published • 14 -
EndoCoT: Scaling Endogenous Chain-of-Thought Reasoning in Diffusion Models
Paper • 2603.12252 • Published • 13 -
Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning
Paper • 2603.11653 • Published • 2