Zhongyi Han

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upvoted a paper about 17 hours ago

Your Transformer is Secretly Linear

Paper • 2405.12250 • Published 3 days ago • 63

upvoted 3 papers about 1 month ago

BLINK: Multimodal Large Language Models Can See but Not Perceive

Paper • 2404.12390 • Published Apr 18 • 23

Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models

Paper • 2404.12387 • Published Apr 18 • 35

Scaling Instructable Agents Across Many Simulated Worlds

Paper • 2404.10179 • Published Mar 13 • 23

upvoted 2 papers 2 months ago

MoAI: Mixture of All Intelligence for Large Language and Vision Models

Paper • 2403.07508 • Published Mar 12 • 70

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8 • 50

upvoted 4 papers 3 months ago

Wukong: Towards a Scaling Law for Large-Scale Recommendation

Paper • 2403.02545 • Published Mar 4 • 15

Learning and Leveraging World Models in Visual Representation Learning

Paper • 2403.00504 • Published Mar 1 • 25

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 566

BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15 • 17

upvoted a paper 4 months ago

Transformers are Multi-State RNNs

Paper • 2401.06104 • Published Jan 11 • 33

upvoted 2 papers 5 months ago

PromptBench: A Unified Library for Evaluation of Large Language Models

Paper • 2312.07910 • Published Dec 13, 2023 • 14

How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation

Paper • 2312.07424 • Published Dec 12, 2023 • 7