Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

A Srivastava, A Rastogi, A Rao, AAM Shoeb… - arXiv preprint arXiv …, 2022 - arxiv.org
Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …

Learning to execute actions or ask clarification questions

Z Shi, Y Feng, A Lipani - arXiv preprint arXiv:2204.08373, 2022 - arxiv.org
Collaborative tasks are ubiquitous activities where a form of communication is required in
order to reach a joint goal. Collaborative building is one of such tasks. We wish to develop …

MindCraft: Theory of mind modeling for situated dialogue in collaborative tasks

CP Bara, S CH-Wang, J Chai - arXiv preprint arXiv:2109.06275, 2021 - arxiv.org
An ideal integration of autonomous agents in a human world implies that they are able to
collaborate on human terms. In particular, theory of mind plays an important role in …

Towards a neural era in dialogue management for collaboration: A literature survey

A Mannekote - arXiv preprint arXiv:2307.09021, 2023 - arxiv.org
Dialogue-based human-AI collaboration can revolutionize collaborative problem-solving,
creative exploration, and social support. To realize this goal, the development of automated …

Improving grounded language understanding in a collaborative environment by interacting with agents through help feedback

N Mehta, M Teruel, PF Sanz, X Deng… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

The tomcat dataset

A Pyarelal, E Duong, C Shibu… - Advances in …, 2024 - proceedings.neurips.cc
We present a rich, multimodal dataset consisting of data from 40 teams of three humans
conducting simulated urban search-and-rescue (SAR) missions in a Minecraft-based …

Rmm: A recursive mental model for dialog navigation

HR Roman, Y Bisk, J Thomason, A Celikyilmaz… - arXiv preprint arXiv …, 2020 - arxiv.org
Language-guided robots must be able to both ask humans questions and understand
answers. Much existing work focuses only on the latter. In this paper, we go beyond …

Iglu 2022: Interactive grounded language understanding in a collaborative environment at neurips 2022

J Kiseleva, A Skrynnik, A Zholus, S Mohanty… - arXiv preprint arXiv …, 2022 - arxiv.org
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 …

Craft an iron sword: Dynamically generating interactive game characters by prompting large language models tuned on code

R Volum, S Rao, M Xu, G DesGarennes… - Proceedings of the …, 2022 - aclanthology.org
Abstract Non-Player Characters (NPCs) significantly enhance the player experience in many
games. Historically, players' interactions with NPCs have tended to be highly scripted, to be …

Open-ended tasks promote creativity in Minecraft

Y Fan, HC Lane, Ö Delialioğlu - Educational Technology & Society, 2022 - JSTOR
Due in part to its flexibility and open design, the video game Minecraft has emerged as a
popular tool for teaching and learning. Inspired by prior research showing the influence of …