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05/18/2023
Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions
Human intelligence's adaptability is remarkable, allowing us to adjust t...
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04/21/2023
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback
Many approaches to Natural Language Processing (NLP) tasks often treat t...
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11/12/2022
Collecting Interactive Multi-modal Datasets for Grounded Language Understanding
Human intelligence can remarkably adapt quickly to new tasks and environ...
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11/01/2022
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions
The adoption of pre-trained language models to generate action plans for...
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05/31/2022
IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents
We present the IGLU Gridworld: a reinforcement learning environment for ...
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05/27/2022
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022
Human intelligence has the remarkable ability to adapt to new tasks and ...
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05/05/2022
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
Human intelligence has the remarkable ability to quickly adapt to new ta...
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05/02/2022
Supporting Complex Information-Seeking Tasks with Implicit Constraints
Current interactive systems with natural language interface lack an abil...
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04/15/2022
Summarization with Graphical Elements
Automatic text summarization has experienced substantial progress in rec...
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10/13/2021
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment
Human intelligence has the remarkable ability to adapt to new tasks and ...
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09/13/2021
Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions
Enabling open-domain dialogue systems to ask clarifying questions when a...
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04/30/2021
Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems
Being able to generate informative and coherent dialogue responses is cr...
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03/01/2021
A Data-driven Approach to Estimate User Satisfaction in Multi-turn Dialogues
The evaluation of multi-turn dialogues remains challenging. The common a...
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12/14/2020
What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization
Automatic text summarization has enjoyed great progress over the last ye...
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09/23/2020
ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)
This document presents a detailed description of the challenge on clarif...
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09/21/2020
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems
Dialogue policy learning for task-oriented dialogue systems has enjoyed ...
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06/19/2020
Optimizing Interactive Systems via Data-Driven Objectives
Effective optimization is essential for real-world interactive systems t...
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10/12/2019
Evaluating Disentangled Representations
There is no generally agreed upon definition of disentangled representat...
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06/16/2019
SEntNet: Source-aware Recurrent Entity Network for Dialogue Response Selection
Dialogue response selection is an important part of Task-oriented Dialog...
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12/09/2018
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
The performance of adversarial dialogue generation models relies on the ...
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02/17/2018
Optimizing Interactive Systems with Data-Driven Objectives
Effective optimization is essential for to provide a satisfactory user ...
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08/15/2017
Towards Learning Reward Functions from User Interactions
In the physical world, people have dynamic preferences, e.g., the same s...
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07/24/2017