activity
20152023
most citedConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

32 citations · 116 across the 24 of their papers we have counts for

collaborators

24 papers

cs.AI2023★ 2 cited

Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions

Shrestha Mohanty, Negar Arabzadeh, Julia Kiseleva +6

Human intelligence's adaptability is remarkable, allowing us to adjust to new tasks and multi-modal environments swiftly. This skill is evident from a young age as we acquire new a…

cs.CL2023★ 3 cited

Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback

Nikhil Mehta, Milagro Teruel, Patricio Figueroa Sanz +3

Many approaches to Natural Language Processing (NLP) tasks often treat them as single-step problems, where an agent receives an instruction, executes it, and is evaluated based on…

cs.CL2022★ 2 cited

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding

Shrestha Mohanty, Negar Arabzadeh, Milagro Teruel +9

Human intelligence can remarkably adapt quickly to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new tasks either by…

cs.AI2022★ 1 cited

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions

Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté +9

The adoption of pre-trained language models to generate action plans for embodied agents is a promising research strategy. However, execution of instructions in real or simulated e…

cs.LG2022★ 4 cited

IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents

Artem Zholus, Alexey Skrynnik, Shrestha Mohanty +5

We present the IGLU Gridworld: a reinforcement learning environment for building and evaluating language conditioned embodied agents in a scalable way. The environment features vis…

cs.CL2022★ 6 cited

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022

Julia Kiseleva, Alexey Skrynnik, Artem Zholus +14

Human intelligence has the remarkable ability to adapt to new tasks and environments quickly. Starting from a very young age, humans acquire new skills and learn how to solve new t…