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upvoted 8 papers about 20 hours ago

Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?

Paper • 2502.12215 • Published 6 days ago • 15

You Do Not Fully Utilize Transformer's Representation Capacity

Paper • 2502.09245 • Published 10 days ago • 30

Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity

Paper • 2502.13063 • Published 5 days ago • 60

REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation

Paper • 2502.13270 • Published 5 days ago • 5

LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization

Paper • 2502.13922 • Published 4 days ago • 25

Small Models Struggle to Learn from Strong Reasoners

Paper • 2502.12143 • Published 6 days ago • 24

Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering

Paper • 2502.13962 • Published 4 days ago • 27

MoM: Linear Sequence Modeling with Mixture-of-Memories

Paper • 2502.13685 • Published 4 days ago • 29

upvoted 3 papers 1 day ago

S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

Paper • 2502.12853 • Published 5 days ago • 22

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Paper • 2502.14768 • Published 3 days ago • 32

How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?

Paper • 2502.14502 • Published 3 days ago • 64

upvoted a paper 6 days ago

FoNE: Precise Single-Token Number Embeddings via Fourier Features

Paper • 2502.09741 • Published 10 days ago • 11

upvoted a paper 9 days ago

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU

Paper • 2502.08910 • Published 11 days ago • 139

upvoted 3 papers 10 days ago

TransMLA: Multi-head Latent Attention Is All You Need

Paper • 2502.07864 • Published 12 days ago • 43

Distillation Scaling Laws

Paper • 2502.08606 • Published 11 days ago • 43

LM2: Large Memory Models

Paper • 2502.06049 • Published 14 days ago • 28

upvoted 4 papers 16 days ago

MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 273

Retrofitting (Large) Language Models with Dynamic Tokenization

Paper • 2411.18553 • Published Nov 27, 2024 • 2

Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published Dec 13, 2024 • 92

Scalable-Softmax Is Superior for Attention

Paper • 2501.19399 • Published 23 days ago • 20