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Reasoning Models Can Be Effective Without Thinking

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Apr 22, 2025

Reasoning Models Can Be Effective Without Thinking

Plus more about BitNet b1.58 2B4T Technical Report and ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

by cloud
by cloud
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention

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Apr 15, 2025

Hogwild! Inference: Parallel LLM Generation via Concurrent Attention

Plus more about One-Minute Video Generation with Test-Time Training and Gaussian Mixture Flow Matching Models

by cloud
by cloud
Multi-Token Attention

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Apr 8, 2025

Multi-Token Attention

Plus more about Inference-Time Scaling for Generalist Reward Modeling and Why do LLMs attend to the first token?

by cloud
by cloud
Anthropic's Research On The Biology of a LLM

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Apr 1, 2025

Anthropic's Research On The Biology of a LLM

Plus more about Defeating Prompt Injections by Design and Reasoning to Learn from Latent Thoughts

by cloud
by cloud
Transformers without Normalization

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Mar 25, 2025

Transformers without Normalization

Plus more about RWKV-7 "Goose" with Expressive Dynamic State Evolution and Measuring AI Ability to Complete Long Tasks

by cloud
by cloud
Inductive Moment Matching

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Mar 19, 2025

Inductive Moment Matching

Plus more about Generalized Kullback-Leibler Divergence Loss and Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

by cloud
by cloud
(How) Do Language Models Track State?

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Mar 13, 2025

(How) Do Language Models Track State?

Plus more about Optimal Hyperparameter Scaling Law in Large Language Model Pretraining and PokéChamp: an Expert-level Minimax Language Agent

by cloud
by cloud
Fractal Generative Models

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Mar 4, 2025

Fractal Generative Models

Plus more about SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution and Reasoning with Latent Thoughts: On the Power of Looped Transformers

by cloud
by cloud
DeepSeek's Native Sparse Attention

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Feb 25, 2025

DeepSeek's Native Sparse Attention

Plus more about Mixture of Block Attention for Long-Context LLMs, and Idiosyncrasies in Large Language Models

by cloud
by cloud
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