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arXiv:2507.15778v2 Announce Type: replace Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has become an effective post-training method for improving the...
Pretraining frontier-scale LLMs in FP8 is now standard practice, but moving to 4-bit floating point has remained an open research...
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in...
Search works well when users know exactly what they are looking for, but it breaks down when intent is described...
The defense-tech company Anduril has shared new details about the augmented-reality headset for the military it’s prototyping with Meta, including...
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in...
Running AI agents in a local script is straightforward. Running them reliably in production across teams, across restarts, with isolated...
Training large language models on long sequences has a well-known problem: attention is expensive. The scaled dot-product attention (SDPA) at...
In this tutorial, we implement SHAP workflows as a practical framework for interpreting machine learning models beyond basic feature-importance plots....
SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
Search-on-Graph: Iterative Informed Navigation for Large Language Model Reasoning on Knowledge Graphs
Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
SEA-LION: Southeast Asian Languages in One Network
SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models
Scoring Verifiers: Evaluating Synthetic Verification for Code and Reasoning
SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines
Scikit-Ollama for Scikit-LLM/Ollama Integration
Scikit-Ollama for Scikit-LLM/Ollama Integration
Scikit-LLM vs. Traditional Text Classifiers: When Should You Use an LLM?
