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Found 6 papers, 1 papers with code
Multi-Step Dialogue Workflow Action Prediction
In task-oriented dialogue, a system often needs to follow a sequence of actions, called a workflow, that complies with a set of guidelines in order to complete a task.
Workflow-Guided Response Generation for Task-Oriented Dialogue
Task-oriented dialogue (TOD) systems aim to achieve specific goals through interactive dialogue.
Long-term Control for Dialogue Generation: Methods and Evaluation
This setting requires a model to not only consider the generation of these control words in the immediate context, but also produce utterances that will encourage the generation of the words at some time in the (possibly distant) future.
A Bayesian Approach to Identifying Representational Errors
Trained AI systems and expert decision makers can make errors that are often difficult to identify and understand.
Discovering Blind Spots in Reinforcement Learning
Agents trained in simulation may make errors in the real world due to mismatches between training and execution environments.
Efficient Model Learning for Human-Robot Collaborative Tasks
We present a framework for learning human user models from joint-action demonstrations that enables the robot to compute a robust policy for a collaborative task with a human.
