Sicheng Feng

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liked a model 1 day ago

google/gemma-4-E4B-it

Any-to-Any • 8B • Updated Jul 20 • 4.45M • 1.59k

liked a model 6 days ago

BLR2/Qwen3.5-9B-Eagle3-ShareGPT

0.4B • Updated Mar 7 • 86 • 5

liked 2 datasets about 1 month ago

Lin-Chen/ShareGPT4V

Viewer • Updated Jun 6, 2024 • 1.35M • 1.7k • 317

mlabonne/open-perfectblend

Preview • Updated Jan 15, 2025 • 5.73k • 184

liked 2 datasets about 2 months ago

truthfulqa/truthful_qa

Viewer • Updated Jan 4, 2024 • 1.63k • 201k • 292

allenai/qasper

Viewer • Updated Oct 7, 2022 • 1.59k • 7.17k • 115

upvoted a paper 2 months ago

BadWAM: When World-Action Models Dream Right but Act Wrong

Paper • 2607.15207 • Published Jul 16 • 45

upvoted 2 papers 3 months ago

dOPSD: On-Policy Self-Distillation for Diffusion Language Models

Paper • 2607.04428 • Published Jul 5 • 18

World Action Models: A Survey

Paper • 2606.20781 • Published Jun 18 • 59

updated a model 3 months ago

FSCCS/dMoE-16B

Text Generation • 16B • Updated Jun 10 • 35 • 4

New activity in FSCCS/dMoE-16B 4 months ago

Add model card and metadata

#1 opened 4 months ago by

nielsr

authored a paper 4 months ago

dMoE: dLLMs with Learnable Block Experts

Paper • 2605.30876 • Published May 29 • 33

commented a paper 4 months ago

dMoE: dLLMs with Learnable Block Experts

Paper • 2605.30876 • Published May 29 • 33 •

4

submitted a paper to Daily Papers 4 months ago

dMoE: dLLMs with Learnable Block Experts

Paper • 2605.30876 • Published May 29 • 33

upvoted 2 papers 4 months ago

dMoE: dLLMs with Learnable Block Experts

Paper • 2605.30876 • Published May 29 • 33

EarlyTom: Early Token Compression Completes Fast Video Understanding

Paper • 2605.30010 • Published May 28 • 30

liked a model 4 months ago

FSCCS/dMoE-16B

Text Generation • 16B • Updated Jun 10 • 35 • 4

published a model 4 months ago

FSCCS/dMoE-16B

Text Generation • 16B • Updated Jun 10 • 35 • 4

upvoted 2 papers 4 months ago

Q-ARVD: Quantizing Autoregressive Video Diffusion Models

Paper • 2605.21072 • Published May 20 • 19

Mix-Quant: Quantized Prefilling, Precise Decoding for Agentic LLMs

Paper • 2605.20315 • Published May 19 • 26