PRM-as-a-Judge 1.5: A Toolkit for Robot Process Assessment
Fine-grained robotic evaluation matters for understanding embodied models, going beyond binary success rates and rule...
每天自动聚合 AI 领域最新动态
Fine-grained robotic evaluation matters for understanding embodied models, going beyond binary success rates and rule...
Enabling agents to learn from experience and internalize it into their policy has become a central problem in self-ev...
LLM agents in the ReAct paradigm alternate between reasoning, acting, and observing, but deliberate reasoning is conf...
When forecasting hourly returns for 1,000 US equities, we observe an unexpected phenomenon: predictions become nearly...
Large Vision-Language Models (LVLMs) achieve impressive visual reasoning and dialogue capabilities, yet frequently ha...
Modern language models are trained on heterogeneous web-scale text corpora. Consequently, studying knowledge and skil...
On-policy distillation (OPD) offers a promising way to transfer reasoning capabilities from stronger teacher models, ...
Visual on-policy distillation relies heavily on an informative teacher-student asymmetry, through either a larger, st...
Neural language models trained on large crowdsourced corpora frequently exploit spurious surface patterns tied to tar...
Scientific figures and tables encode essential experimental evidence, yet remain difficult for digital libraries and ...
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step(⭐102694)
This paper reports a single, fully instrumented case study of a large-scale architectural refactoring by an AI coding...