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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...
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...
Stateful vs. Stateless Agent Design: Tradeoffs for Scalable Agentic Systems
In this article, you will learn how an agent’s approach to managing state — stateless...
Start Making Sense(s): A Developmental Probe of Attention Specialization Using Lexical Ambiguity
arXiv:2511.21974v1 Announce Type: new Abstract: Despite an in-principle understanding of self-attention matrix operations in Transformer...
STAR-Bench: Probing Deep Spatio-Temporal Reasoning as Audio 4D Intelligence
arXiv:2510.24693v2 Announce Type: replace-cross Abstract: Despite rapid progress in Multi-modal Large Language Models and Large...
Stanford Researchers Introduce TRACE: A Capability-Targeted Agentic Training System That Turns Recurrent Agent Failures Into Synthetic RL Environment
Agentic LLMs often fail the same way, again and again. A Stanford research team traced...
