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Found 10 papers, 1 papers with code
"Don't forget to put the milk back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situations
Our work assists in this goal by enabling robots to inform their users of dangerous or unsanitary anomalies in their home.
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects
Natural Language Generation (NLG) typically involves evaluating the generated text in various aspects (e. g., consistency and naturalness) to obtain a comprehensive assessment.
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
In this work, we tackle the problem of training a robot to understand multimodal prompts, interleaving vision signals with text descriptions.
Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI
The Alexa Prize program has empowered numerous university students to explore, experiment, and showcase their talents in building conversational agents through challenges like the SocialBot Grand Challenge and the TaskBot Challenge.
Alexa Arena: A User-Centric Interactive Platform for Embodied AI
We introduce Alexa Arena, a user-centric simulation platform for Embodied AI (EAI) research.
Improving Open-Domain Dialogue Evaluation with a Causal Inference Model
We project these features to the dialogue level and train a dialogue-level MLP regression model, a dialogue-level LSTM, and a novel causal inference model called counterfactual-LSTM (CF-LSTM) to predict ratings.
Alexa, Let's Work Together: Introducing the First Alexa Prize TaskBot Challenge on Conversational Task Assistance
Since its inception in 2016, the Alexa Prize program has enabled hundreds of university students to explore and compete to develop conversational agents through the SocialBot Grand Challenge.
Meta Clustering for Collaborative Learning
We propose a framework named meta clustering to address the challenge.
Assisted Learning: A Framework for Multi-Organization Learning
In an increasing number of AI scenarios, collaborations among different organizations or agents (e. g., human and robots, mobile units) are often essential to accomplish an organization-specific mission.
Risk-Sensitive Cooperative Games for Human-Machine Systems
Autonomous systems can substantially enhance a human's efficiency and effectiveness in complex environments.
