Rules-Injected Instruction Tuning (RuleGPT), a paradigm that injects IF–THEN rules extracted from training data directly into the LLM's instruction sequence, allows the LLM to focus on higher-order, context-dependent interactions.
Wei-Hao Jiang, Huizhao Wang, Zhihui Hu et al.· Proceedings of the 32nd ACM...· 0 citations
TopoBrick is presented, a training-free framework for zero-shot building IoT (Internet-of-Things) forecasting that outperforms strong zero-shot foundation-model baselines and remains competitive with fully trained building-specific models.
Xiachong Lin, Du Yin, Arian Prabowo et al.· arXiv.org· 0 citations
This work proposes AsyTO, an Asymmetric Temporal Operator, an Asymmetric Temporal Operator that factorizes the tensor of per-variable operators into shared but distinct history-reading and future-writing temporal modes with per-variable mode-wise gains, complemented by a low-rank periodic prototype and a cycle-separabl...
Rules-Injected Instruction Tuning (RuleGPT), a paradigm that injects IF–THEN rules extracted from training data directly into the LLM's instruction sequence, allows the LLM to focus on higher-order, context-dependent interactions.
Weihao Jiang, Huizhao Wang, Zhihui Hu et al.· Proceedings of the 32nd ACM...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
