Beyond Sycophancy: Structured Resistance and Compliance in LLM Moral Reasoning
Building socially calibrated large language models, which can learn from others without simply yielding to them, requ...
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Building socially calibrated large language models, which can learn from others without simply yielding to them, requ...
A consensus anomaly detection framework was applied to monthly malaria surveillance data from Ghana (2014-2023) to id...
Faithful explanations of time-series classifiers should identify subsequences that are not only sufficient to preserv...
Quality control in printing, particularly in rotogravure printing, still depends on slow, costly, and subjective manu...
Barzilai--Borwein (BB) method has shown strong practical performance in continuous optimization, yet its convergence ...
Controllable video generation remains challenging due to the difficulty of specifying precise multi-object interactio...
Despite rapid progress, most existing vision-language models (VLMs) built from 2D visual inputs often struggle when h...
The recent emergence of vibe-coding workflows is changing what coding agents are expected to do. Instead of merely co...
Multi-agent interactive world models should not only generate consistent observations, but also maintain world states...
The development of generalizable robotic manipulation policies is inherently bounded by the availability of large-sca...
Traditional agent development is split across prompt templates, tool schemas, callback code, and workflow graphs. We ...
Reinforcement learning for large language models (LLMs) typically relies on trust-region masks to stabilize off-polic...