Fangzhou

Fzz1

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updated a dataset about 4 hours ago

Fzz1/tb-training-mix-agentpick

published a dataset about 4 hours ago

Fzz1/tb-training-mix-agentpick

published a dataset 3 days ago

Fzz1/tb-training-mix

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upvoted a paper 30 days ago

SecOPD: Mitigating Adaptive Prompt Injections by On-Policy Distillation

Paper • 2608.21500 • Published Aug 21 • 41

upvoted 2 papers about 1 month ago

AVA-Encoder: Towards Agent-Native Video Representation Learning

Paper • 2608.12313 • Published Aug 12 • 43

FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution

Paper • 2608.16157 • Published Aug 17 • 112

upvoted a paper 6 months ago

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling

Paper • 2604.06916 • Published Apr 8 • 30

upvoted a collection 6 months ago

M2RNN

Note that the 7B models are MoE with 1.1B active parameters and 400M models are dense models • 14 items • Updated Mar 12 • 7

upvoted 2 papers 7 months ago

Flash-KMeans: Fast and Memory-Efficient Exact K-Means

Paper • 2603.09229 • Published Mar 10 • 85

K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model

Paper • 2602.19128 • Published Feb 22 • 7

upvoted a paper 8 months ago

VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents

Paper • 2601.16973 • Published Jan 23 • 40

upvoted 2 papers 10 months ago

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Paper • 2511.19399 • Published Nov 24, 2025 • 64

UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity

Paper • 2511.13714 • Published Nov 17, 2025 • 13