AstroAlertBench evaluates multimodal LLMs on astronomical classification accuracy, reasoning, and honesty using real ZTF alerts, revealing that high accuracy often diverges from self-assessed reasoning quality.
arXiv preprint arXiv:2102.04402 , year=
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
Proposes OPMD algorithm achieving accelerated O(1/n) rates for offline Nash equilibrium learning in alpha-potential games via reference-anchored data coverage.
KL regularization enables pessimism-free offline learning in general-sum games, recovering regularized Nash equilibria at accelerated rate O(1/n) via GANE and converging to coarse correlated equilibria at standard rate O(1/sqrt(n)+1/T) via GAMD.
CRONA is a MARL framework that uses modality-specialized agents with auxiliary beliefs and a centralized multi-modal critic to achieve better performance and efficiency than single-agent baselines on visual-acoustic navigation tasks.
CoSER adaptively samples joint actions in CTDE MARL to reduce sampling error relative to the joint on-policy distribution, empirically improving reliability of independent policy gradient convergence.
citing papers explorer
-
Cross-Modal Navigation with Multi-Agent Reinforcement Learning
CRONA is a MARL framework that uses modality-specialized agents with auxiliary beliefs and a centralized multi-modal critic to achieve better performance and efficiency than single-agent baselines on visual-acoustic navigation tasks.