Nikita Balagansky

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upvoted 2 papers about 1 month ago

Scale-wise Distillation of Diffusion Models

Paper • 2503.16397 • Published Mar 20 • 40

Transformers without Normalization

Paper • 2503.10622 • Published Mar 13 • 160

upvoted a paper 2 months ago

You Do Not Fully Utilize Transformer's Representation Capacity

Paper • 2502.09245 • Published Feb 13 • 37

upvoted a paper 3 months ago

The Differences Between Direct Alignment Algorithms are a Blur

Paper • 2502.01237 • Published Feb 3 • 115

upvoted a paper 6 months ago

Mechanistic Permutability: Match Features Across Layers

Paper • 2410.07656 • Published Oct 10, 2024 • 19

upvoted a paper 10 months ago

XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning

Paper • 2406.08973 • Published Jun 13, 2024 • 90

upvoted a paper 11 months ago

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31, 2024 • 68

upvoted 2 papers about 1 year ago

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2, 2024 • 106

Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15, 2024 • 87