Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models
Paper
•
2501.14818
•
Published
•
4
Byung-Kwan Lee
BK-Lee
AI & ML interests
Computer Vision, Machine Learning, Vision Language Models
Recent Activity
new activity
21 days ago
nvidia/Eagle2-9B:Deepspeed ZeRO3 Compatible Issue
upvoted
a
paper
22 days ago
Sigma: Differential Rescaling of Query, Key and Value for Efficient
Language Models
Organizations
BK-Lee's activity
upvoted
a
paper
9 days ago
upvoted
a
paper
22 days ago
upvoted
a
paper
24 days ago
upvoted
3
papers
25 days ago
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Paper
•
2501.12599
•
Published
•
93
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
Paper
•
2501.13106
•
Published
•
83
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper
•
2501.12948
•
Published
•
320
upvoted
a
paper
26 days ago
upvoted
a
collection
28 days ago
upvoted
a
paper
28 days ago
upvoted
a
paper
29 days ago
upvoted
a
collection
30 days ago
upvoted
a
paper
30 days ago
upvoted
8
papers
about 1 month ago
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
Paper
•
2501.09755
•
Published
•
34
Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding
Paper
•
2501.07888
•
Published
•
15
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
Paper
•
2406.11271
•
Published
•
21
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper
•
2501.08313
•
Published
•
273
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs
Paper
•
2501.06186
•
Published
•
61
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
Paper
•
2411.19146
•
Published
•
17
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
Paper
•
2412.17153
•
Published
•
34
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Paper
•
2412.21187
•
Published
•
39