Scale-Plan is presented, a scalable LLM-assisted framework that generates compact, task-relevant problem representations from natural language instructions that outperforms pure LLM and hybrid LLM-PDDL baselines across all metrics, improving scalability and reliability.
Piyush Gupta, Sangjae Bae, Jia-Chen Li et al.· arXiv.org· 2 citations
An end-to-end, monolithic framework that pairs the learning of multimodal representations with a spatio-temporal graph neural network, a Transformer-based forecasting module, a causal inference layer, and a Q-learning recommender to provide a replicable base to adaptable, understandable model of travel behavior in smar...
Santosh Kumar Sharma, S. Chander, Piyush Gupta· International journal of com...· 0 citations
An intelligent framework is developed as a hybrid one, where four complementary learners are used to operate in parallel: a spatio-temporal graph neural network (ST-GNN) to represent dependencies between travel zones, a Transformer to represent long-horizon temporal patterns, an LSTM to represent sequential mobility dy...
Santosh Kumar Sharma, S. Chander, Piyush Gupta· International journal of com...· 0 citations
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