DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 87
Reading List
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Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 108 -
BitNet b1.58 2B4T Technical Report
Paper • 2504.12285 • Published • 85 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 29 -
Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models
Paper • 2412.14058 • Published • 1 -
π_0: A Vision-Language-Action Flow Model for General Robot Control
Paper • 2410.24164 • Published • 31 -
Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation
Paper • 2502.16707 • Published • 14 -
OpenVLA: An Open-Source Vision-Language-Action Model
Paper • 2406.09246 • Published • 47 -
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Paper • 2307.15818 • Published • 32 -
A Dual Process VLA: Efficient Robotic Manipulation Leveraging VLM
Paper • 2410.15549 • Published -
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Paper • 2310.08864 • Published • 2 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 63 -
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Paper • 2506.01844 • Published • 158 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 22 -
Block Pruning For Faster Transformers
Paper • 2109.04838 • Published • 2 -
The case for 4-bit precision: k-bit Inference Scaling Laws
Paper • 2212.09720 • Published • 3 -
Matryoshka Representation Learning
Paper • 2205.13147 • Published • 25 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 20 -
Scaling Vision Transformers to 22 Billion Parameters
Paper • 2302.05442 • Published • 2 -
Robust Speech Recognition via Large-Scale Weak Supervision
Paper • 2212.04356 • Published • 53 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 98 -
Neural Architecture Search with Reinforcement Learning
Paper • 1611.01578 • Published • 2 -
Regularized Evolution for Image Classifier Architecture Search
Paper • 1802.01548 • Published • 2 -
High-Resolution Image Synthesis with Latent Diffusion Models
Paper • 2112.10752 • Published • 17 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 9 -
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 17 -
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Paper • 2112.10741 • Published • 4 -
Diffusion Models Beat GANs on Image Synthesis
Paper • 2105.05233 • Published • 2 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 107 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 191 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 238 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 193 -
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
Paper • 2508.21148 • Published • 142 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 199