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09/14/2023
A Data Source for Reasoning Embodied Agents
Recent progress in using machine learning models for reasoning tasks has...
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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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05/01/2023
Learning to Reason and Memorize with Self-Notes
Large language models have been shown to struggle with limited context m...
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04/26/2023
Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models
Current dialogue research primarily studies pairwise (two-party) convers...
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01/13/2023
Infusing Commonsense World Models with Graph Knowledge
While language models have become more capable of producing compelling l...
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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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10/11/2022
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
We propose CLIP-Fields, an implicit scene model that can be trained with...
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08/05/2022
BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage
We present BlenderBot 3, a 175B parameter dialogue model capable of open...
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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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04/19/2022
Many Episode Learning in a Modular Embodied Agent via End-to-End Interaction
In this work we give a case study of an embodied machine-learning (ML) p...
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03/24/2022
Language Models that Seek for Knowledge: Modular Search Generation for Dialogue and Prompt Completion
Language models (LMs) have recently been shown to generate more factual ...
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03/11/2022
Can I see an Example? Active Learning the Long Tail of Attributes and Relations
There has been significant progress in creating machine learning models ...
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12/10/2021
Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity
State-of-the-art dialogue models still often stumble with regards to fac...
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11/09/2021
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue
Large language models can produce fluent dialogue but often hallucinate ...
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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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07/15/2021
Beyond Goldfish Memory: Long-Term Open-Domain Conversation
Despite recent improvements in open-domain dialogue models, state of the...
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06/08/2021
Hash Layers For Large Sparse Models
We investigate the training of sparse layers that use different paramete...
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05/13/2021
Not All Memories are Created Equal: Learning to Forget by Expiring
Attention mechanisms have shown promising results in sequence modeling t...
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12/30/2020
Linguistic calibration through metacognition: aligning dialogue agent responses with expected correctness
Open-domain dialogue agents have vastly improved, but still confidently ...
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12/17/2020
Few-shot Sequence Learning with Transformers
Few-shot algorithms aim at learning new tasks provided only a handful of...
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10/06/2020
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
Humans can learn and reason under substantial uncertainty in a space of ...
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10/01/2020
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds
We seek to create agents that both act and communicate with other agents...
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08/18/2020
Deploying Lifelong Open-Domain Dialogue Learning
Much of NLP research has focused on crowdsourced static datasets and the...
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07/06/2020
Fast Adaptation via Policy-Dynamics Value Functions
Standard RL algorithms assume fixed environment dynamics and require a s...
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06/22/2020
Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions
We present our view of what is necessary to build an engaging open-domai...
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04/22/2020
Residual Energy-Based Models for Text Generation
Text generation is ubiquitous in many NLP tasks, from summarization, to ...
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04/10/2020
Learning to Visually Navigate in Photorealistic Environments Without any Supervision
Learning to navigate in a realistic setting where an agent must rely sol...
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02/07/2020
I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents
Dialogue research tends to distinguish between chit-chat and goal-orient...
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02/07/2020
I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-orientated dialogue agents
Dialogue research tends to distinguish between chit-chat and goal-orient...
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11/20/2019
Generating Interactive Worlds with Text
Procedurally generating cohesive and interesting game environments is ch...
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07/22/2019
Why Build an Assistant in Minecraft?
In this document we describe a rationale for a research program aimed at...
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07/19/2019
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
This paper describes an implementation of a bot assistant in Minecraft, ...
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06/07/2019
Real or Fake? Learning to Discriminate Machine from Human Generated Text
Recent advances in generative modeling of text have demonstrated remarka...
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04/17/2019
CraftAssist Instruction Parsing: Semantic Parsing for a Minecraft Assistant
We propose a large scale semantic parsing dataset focused on instruction...
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03/07/2019
Learning to Speak and Act in a Fantasy Text Adventure Game
We introduce a large scale crowdsourced text adventure game as a researc...
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01/31/2019
The Second Conversational Intelligence Challenge (ConvAI2)
We describe the setting and results of the ConvAI2 NeurIPS competition t...
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11/22/2018
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning
In hierarchical reinforcement learning a major challenge is determining ...
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11/01/2018
Dialogue Natural Language Inference
Consistency is a long standing issue faced by dialogue models. In this p...
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09/06/2018
Planning with Arithmetic and Geometric Attributes
A desirable property of an intelligent agent is its ability to understan...
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04/20/2018
Lightweight Adaptive Mixture of Neural and N-gram Language Models
It is often the case that the best performing language model is an ensem...
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03/01/2018
Composable Planning with Attributes
The tasks that an agent will need to solve often are not known during tr...
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02/26/2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
We consider the multi-agent reinforcement learning setting with imperfec...
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01/22/2018
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Chit-chat models are known to have several problems: they lack specifici...
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11/21/2017
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent
Contrary to most natural language processing research, which makes use o...
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07/18/2017
Optimizing the Latent Space of Generative Networks
Generative Adversarial Networks (GANs) have been shown to be able to sam...
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06/07/2017
Low-shot learning with large-scale diffusion
This paper considers the problem of inferring image labels for which onl...
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04/20/2017
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision
Training convolutional networks (CNN's) that fit on a single GPU with mi...
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02/15/2017
Training Language Models Using Target-Propagation
While Truncated Back-Propagation through Time (BPTT) is the most popular...
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02/08/2017