Two visual focusing losses align a Vision Transformer's multi-head attention with image regions, producing specialized ...

Reframe is a two-stage post-training framework that aligns visual agents’ observation states through evidence-aware ...

Large language model agents can exceed authorized limits while pursuing user goals, and a 648-sample benchmark across seven domains shows that this drift rises with capability yet is avoidable and ...

A unified 145-task benchmark evaluates coding agents across object, scene, and interactive 3D creation, revealing reference ...

Reasoning caches built from LLM traces can efficiently apply previously derived solutions to new problem instances with ...

An embodied multi-agent framework uses learned correction codes and a vision-language-action model with motion-aware history ...

Collection of base and post-trained LFM3 models (www.liquid.ai/blog/lfm3).

Worker Adjustment and Retraining Notification (WARN) Act notices filed with US state labor agencies, collected daily from 48 state sources and normalized into one table. For real-time filings, maps, ...

One-minute open, high, low, close and volume of coins and tokens against the US dollar, from November 2013 to today, delisted coins included. symbol Pair or coin ticker against the US dollar. datetime ...

Arete-27B is intended for general assistance and agentic work where users want this change in viewpoint, and for research ...

How to use Launch80/Qwopus3.8-27B-Coder-Flash-Int4-baked with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline ...

NPCBench evaluates whether medical AI models can integrate subspecialty knowledge with multimodal evidence and maintain ...