This work recast subgraph generation as a Markov decision process and learn a value function via implicit Q-learning on self-generated trajectories produced by a canonical compression operator that inverts the homomorphism, and introduces IGMS, a log-determinant reward that couples semantic relevance, structural compat...
Dao-Min Ji, Hui Luo, Zhi-Feng Bao et al.· arXiv.org· 1 citation
This workshop aims to provide a forum to analyze implications of AI-generated content implications with an emphasis on reflection, evaluation, and human-centered system design, and to foster community-driven discussion that may inform future evaluation efforts, including potential shared tasks or tracks in venues such...
Ping Liu, Zhedong Zheng, Shane Culpepper et al.· Annual International ACM SIG...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.