arXiv:2603.25184v3 Announce Type: replace-cross Abstract: Reinforcement learning (RL) has become essential for post-training large language models (LLMs)…
Author: script
US Department of Justice backs fair use for AI training in landmark copyright case
In the class-action lawsuit involving The New York Times, the US Department of Justice argues that training AI models on copyrighted text qualifies as…
FDARxBench: Benchmarking Regulatory and Clinical Reasoning on FDA Generic Drug Assessment
arXiv:2603.19539v2 Announce Type: replace-cross Abstract: We introduce an expert curated, real-world benchmark for evaluating document-grounded…
From code to diagrams: Agentic architecture documentation with Amazon Bedrock AgentCore
Learn how a global interdealer broker built an automated architecture documentation pipeline on Amazon Bedrock AgentCore that analyzes .NET code bases,…
Automated Standardization of Legacy Biomedical Metadata Using an Ontology-Constrained LLM Agent
arXiv:2604.08552v3 Announce Type: replace-cross Abstract: Descriptive scientific metadata in public repositories are often incomplete and inconsistent…
Meet Switchyard: A Rust Proxy and Library That Routes and Translates LLM Traffic Across OpenAI and Anthropic APIs
NVIDIA has released Switchyard, an Apache-2.0 Rust proxy and library for LLM traffic. It decodes requests into provider-neutral types, routes them with…
CaST-POI: Candidate-Conditioned Spatiotemporal Modeling for Next POI Recommendation
arXiv:2604.20845v2 Announce Type: replace-cross Abstract: Next Point-of-Interest (POI) recommendation ranks a user’s likely next location based on…
FlatLands: Generative Floormap Completion From a Single Egocentric View
arXiv:2603.16016v3 Announce Type: replace-cross Abstract: A single egocentric image typically captures only a small portion of the floor, yet a complete…
Beyond Transfer Accuracy: Mechanism-Guided Controlled Adaptation for Low-Resource Languages
arXiv:2601.08146v4 Announce Type: replace-cross Abstract: Existing circuit discovery methods rely on templated tasks with clean counterfactuals, limiting…
Shiva-DiT: Residual-Based Differentiable Top-$k$ Selection for Efficient Diffusion Transformers
arXiv:2602.05605v2 Announce Type: replace-cross Abstract: Diffusion Transformers (DiTs) are costly at high resolution because self-attention scales…