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Stronger Normalization-Free Transformers

arXiv:2512.10938v1 Announce Type: cross Abstract: Although normalization layers have long been viewed as indispensable components...

Stripe, Anthropic, and OpenAI are backing an effort to stop respiratory infections

The common cold comes for us all—often more than once a year. And there is...

StreamTensor: A PyTorch-to-Accelerator Compiler that Streams LLM Intermediates Across FPGA Dataflows

Why treat LLM inference as batched kernels to DRAM when a dataflow compiler can pipe...

Streaming Sequence-to-Sequence Learning with Delayed Streams Modeling

arXiv:2509.08753v1 Announce Type: new Abstract: We introduce Delayed Streams Modeling (DSM), a flexible formulation for...

Stopping Computation for Converged Tokens in Masked Diffusion-LM Decoding

arXiv:2602.06412v1 Announce Type: new Abstract: Masked Diffusion Language Models generate sequences via iterative sampling that...

Stop guessing why your LLMs break: Anthropic’s new tool shows you exactly what goes wrong

Anthropic’s open-source circuit tracing tool can help developers debug, optimize, and control AI for reliable...

StepFun Releases Step 3.7 Flash: A 198B MoE Vision-Language Model for Coding Agents and Search Workflows

StepFun today released Step 3.7 Flash, a multimodal Mixture-of-Experts model targeting agentic use cases. It...

StepFun AI Releases Step-Audio-R1: A New Audio LLM that Finally Benefits from Test Time Compute Scaling

Why do current audio AI models often perform worse when they generate longer reasoning instead...

StepFun AI Releases Step-Audio 2 Mini: An Open-Source 8B Speech-to-Speech AI Model that Surpasses GPT-4o-Audio

The StepFun AI team has released Step-Audio 2 Mini, an 8B parameter speech-to-speech large audio...

STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models

arXiv:2510.07923v1 Announce Type: new Abstract: Answering complex real-world questions requires step-by-step retrieval and integration of...

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models

arXiv:2507.15512v3 Announce Type: replace Abstract: Test-Time Scaling (TTS) is a promising approach to progressively elicit...

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