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Structured Outputs vs. Function Calling: Which Should Your Agent Use?
Language models (LMs), at their core, are text-in and text-out systems...
Stronger Normalization-Free Transformers
arXiv:2512.10938v1 Announce Type: cross Abstract: Although normalization layers have long been viewed as indispensable components...
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 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...
Step by Step Guide to Build an End-to-End Model Optimization Pipeline with NVIDIA Model Optimizer Using FastNAS Pruning and Fine-Tuning
In this tutorial, we build a complete end-to-end pipeline using NVIDIA Model Optimizer to train...
Steering Language Models with Weight Arithmetic
arXiv:2511.05408v1 Announce Type: new Abstract: Providing high-quality feedback to Large Language Models (LLMs) on a...
