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"Large Flow Language Models" What if we could turn existing LLMs into diffusionLMs that generate multiple tokens in parallel without losing...

"How RL Reshapes LLM Reasoning: Transferability, Coverage, and Scaling Laws" Does RL actually teach LLMs new reasoning skills or just make ...

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"Agentic World Action Models" What if robots could write their own code to plan actions, while also predicting how the physical world will ...

"BeNice! Closing Looping’s Inference-Memory Gap via KV-Sharing" Looped Transformers reuse the same layers multiple times to improve perform...

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"Simulating Training Spikes of Deep Neural Networks by Layer-wise Random Feature Models" The sudden loss spikes during LLM training might b...

"A Fix for Softmax and Cross-Entropy" Turns out two of the most fundamental functions in deep learning have numerical bugs that can actuall...

OpenResearch now has @TrackioApp built in 📈 Your agent logs its experiments to Trackio, charts open right next to each run, and it reads t...

"Denoising Hierarchical Representations: Joint Continuous Diffusion for Language Modeling" Continuous diffusion LMs would struggle to recov...

"Koi: Evidence-Guided, Self-Calibrating Planning for Heterogeneous LLM Inference Fleets" Deploying LLMs across heterogeneous GPU clusters r...

Tsinghua’s papers are getting more read than Stanford’s, Google’s or MIT’s We looked at 38M paper views on alphaXiv this year Tsinghua lea...

The ultimate guide to interpretability is here 🔥 Are we actually on the verge of reverse engineering LLMs or is the excitement outpacing w...

"VLA-Δ: Learning Physical State Transition for VLA Models" Vision language action models learn to imitate robot actions without explicitly ...

"Correction Training for Diffusion Models" This paper shows that diffusion models can actually generate better images without CFG, just by ...

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"Harness^2: Recursive Agent Harnessing for an Open World" Harness optimization would usually struggle to adapt to new tasks without ground-...