Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills
Robot learning is splitting into two bets: policies that bake competence into frozen weights (vision-language-action,...
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Robot learning is splitting into two bets: policies that bake competence into frozen weights (vision-language-action,...
Selecting a complete 3D object from a reconstructed scene with minimal user effort is essential for practical scene e...
Automatic speaking assessment systems are increasingly deployed in high-stakes settings to mark second language (L2) ...
As LLMs are increasingly deployed within agentic systems, their capabilities depend not only on the model weights but...
Retrieval-augmented generation over long documents is dominated by one design: chunk the text, embed the chunks, and ...
White matter hyperintensities (WMH), bright regions on Fluid-attenuated Inversion Recovery (FLAIR) scans are associat...
Task-oriented conversational agents are evaluated using curated or automatically generated benchmarks, yet benchmark ...
From natural-language query interfaces to automated report generation, data analysis tools need a description of the ...
LLM-based agentic systems have shown remarkable capabilities in complex domains, while suffering from cascading error...
This paper addresses the limitations of Explainable Artificial Intelligence (XAI) with respect to insufficient evalua...
We give a formal mechanism design model for the continuous participatory governance of a deployed AI agent. The mecha...
Real-world video benchmarks provide broad coverage, but their fixed clips entangle event count, rate, duration, and v...