Week of March 2, 2026
Papers
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Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Shows that adaptively allocating test-time compute can outperform 14x larger models.
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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Demonstrates how RL-based training produces strong reasoning without supervised fine-tuning.
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Utonia: Toward One Encoder for All Point Clouds
We dream of a future where point clouds from all domains can come together to shape a single model that benefits them all. Toward this goal, we pre...
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MIBURI: Towards Expressive Interactive Gesture Synthesis
Embodied Conversational Agents (ECAs) aim to emulate human face-to-face interaction through speech, gestures, and facial expressions. Current large...
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CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance
Classifier-Free Guidance (CFG) has emerged as a central approach for enhancing semantic alignment in flow-based diffusion models. In this paper, we...
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How to Peel with a Knife: Aligning Fine-Grained Manipulation with Human Preference
Many essential manipulation tasks - such as food preparation, surgery, and craftsmanship - remain intractable for autonomous robots. These tasks ar...
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ULTRA: Unified Multimodal Control for Autonomous Humanoid Whole-Body Loco-Manipulation
Achieving autonomous and versatile whole-body loco-manipulation remains a central barrier to making humanoids practically useful. Yet existing appr...
Blog Posts
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A Visual Guide to Quantization
Intuitive visual walkthrough of LLM quantization techniques from FP16 to GPTQ and GGUF.
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Inference at the Edge: Practical Lessons from Deploying LLMs on Consumer GPUs
Real-world tips for efficient local LLM inference with vLLM on consumer hardware.
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Understanding AI and learning outcomes
OpenAI introduces the Learning Outcomes Measurement Suite to assess AI's impact on student learning across diverse educational environments over time.
- PRX Part 3 — Training a Text-to-Image Model in 24h!
- GPT-5.3 Instant System Card