activity
20202026
most citedIGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022

6 citations · 31 across the 20 of their papers we have counts for

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6 papers · 1 filter

cs.AI2025★ 5 cited

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Mido Assran, Adrien Bardes, David Fan +27

A major challenge for modern AI is to learn to understand the world and learn to act largely by observation. This paper explores a self-supervised approach that combines internet-s…

cs.AI2024

Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent

Karolis Jucys, George Adamopoulos, Mehrab Hamidi +7

Understanding the mechanisms behind decisions taken by large foundation models in sequential decision making tasks is critical to ensuring that such systems operate transparently a…

cs.AI2024

IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents

Shrestha Mohanty, Negar Arabzadeh, Andrea Tupini +5

Seamless interaction between AI agents and humans using natural language remains a key goal in AI research. This paper addresses the challenges of developing interactive agents cap…

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.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.AI2021★ 3 cited

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment

Julia Kiseleva, Ziming Li, Mohammad Aliannejadi +12

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…