A frozen BF16 teacher guides student retries and refines its guidance using execution feedback. Context distillation internalizes the locally verified corrections. The student then runs alone, without ...
FraudBench is an evaluation of large language models' (LLMs) propensities to recommend, assist, or directly take actions that ...
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 ...
An embodied multi-agent framework uses learned correction codes and a vision-language-action model with motion-aware history ...
Reasoning caches built from LLM traces can efficiently apply previously derived solutions to new problem instances with ...
A unified 145-task benchmark evaluates coding agents across object, scene, and interactive 3D creation, revealing reference ...
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 ...
Arete-27B is intended for general assistance and agentic work where users want this change in viewpoint, and for research ...
NPCBench evaluates whether medical AI models can integrate subspecialty knowledge with multimodal evidence and maintain ...
PLaMo 3 Translate: translation-specialized LLMs (0.8B / 2B / 8B / 31B) in BF16 and quantized formats (FP8, W4A16, W4AFP8, NVFP4, GGUF, MLX-4bit).
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