Learning to model the world with language

J Lin, Y Du, O Watkins, D Hafner, P Abbeel… - arXiv preprint arXiv …, 2023 - arxiv.org
To interact with humans in the world, agents need to understand the diverse types of
language that people use, relate them to the visual world, and act based on them. While …

Interactive natural language processing

Z Wang, G Zhang, K Yang, N Shi, W Zhou… - arXiv preprint arXiv …, 2023 - arxiv.org
Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …

Minding language models'(lack of) theory of mind: A plug-and-play multi-character belief tracker

M Sclar, S Kumar, P West, A Suhr, Y Choi… - arXiv preprint arXiv …, 2023 - arxiv.org
Theory of Mind (ToM) $\unicode {x2014} $ the ability to reason about the mental states of
other people $\unicode {x2014} $ is a key element of our social intelligence. Yet, despite …

How FaR Are Large Language Models From Agents with Theory-of-Mind?

P Zhou, A Madaan, SP Potharaju, A Gupta… - arXiv preprint arXiv …, 2023 - arxiv.org
" Thinking is for Doing." Humans can infer other people's mental states from observations--
an ability called Theory-of-Mind (ToM)--and subsequently act pragmatically on those …

Language models, agent models, and world models: The law for machine reasoning and planning

Z Hu, T Shu - arXiv preprint arXiv:2312.05230, 2023 - arxiv.org
Despite their tremendous success in many applications, large language models often fall
short of consistent reasoning and planning in various (language, embodied, and social) …

Towards a holistic landscape of situated theory of mind in large language models

Z Ma, J Sansom, R Peng, J Chai - arXiv preprint arXiv:2310.19619, 2023 - arxiv.org
Large Language Models (LLMs) have generated considerable interest and debate
regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal …

CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models

AR Akula, K Wang, C Liu, S Saba-Sadiya, H Lu… - Iscience, 2022 - cell.com
We propose CX-ToM, short for counterfactual explanations with theory-of-mind, a new
explainable AI (XAI) framework for explaining decisions made by a deep convolutional …

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 …

Grounding or guesswork? large language models are presumptive grounders

O Shaikh, K Gligorić, A Khetan, M Gerstgrasser… - arXiv preprint arXiv …, 2023 - arxiv.org
Effective conversation requires common ground: a shared understanding between the
participants. Common ground, however, does not emerge spontaneously in conversation …

I cast detect thoughts: Learning to converse and guide with intents and theory-of-mind in dungeons and dragons

P Zhou, A Zhu, J Hu, J Pujara, X Ren… - arXiv preprint arXiv …, 2022 - arxiv.org
We propose a novel task, G4C, to study teacher-student natural language interactions in a
goal-driven and grounded environment. Dungeons and Dragons (D&D), a role-playing …