18 citations · 126 across the 28 of their papers we have counts for
6 papers · 1 filter
Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection
Yikang Li, Pulkit Goel, Varsha Kuppur Rajendra +5
Conditional text generation has been a challenging task that is yet to see human-level performance from state-of-the-art models. In this work, we specifically focus on the Commonge…
Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering
Kaixin Ma, Filip Ilievski, Jonathan Francis +3
Recent developments in pre-trained neural language modeling have led to leaps in accuracy on commonsense question-answering benchmarks. However, there is increasing concern that mo…
Trajformer: Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving
Manoj Bhat, Jonathan Francis, Jean Oh
Effective feature-extraction is critical to models' contextual understanding, particularly for applications to robotics and autonomous driving, such as multimodal trajectory predic…
Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information
Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu +4
Understanding the models that characterize the thermal dynamics in a smart building is important for the comfort of its occupants and for its energy optimization. A significant amo…
Neuro-symbolic Architectures for Context Understanding
Alessandro Oltramari, Jonathan Francis, Cory Henson +2
Computational context understanding refers to an agent's ability to fuse disparate sources of information for decision-making and is, therefore, generally regarded as a prerequisit…
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
Seong Hyeon Park, Gyubok Lee, Manoj Bhat +6
Multi-agent trajectory forecasting in autonomous driving requires an agent to accurately anticipate the behaviors of the surrounding vehicles and pedestrians, for safe and reliable…