activity
20222026
most citedThe Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding

8 citations · 12 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

MindZero: Learning Online Mental Reasoning With Zero Annotations

Shunchi Zhang, Jin Lu, Chuanyang Jin +3

Effective real-world assistance requires AI agents with robust Theory of Mind (ToM): inferring human mental states from their behavior. Despite recent advances, several key challen…

cs.CV2025

World-in-World: World Models in a Closed-Loop World

Jiahan Zhang, Muqing Jiang, Nanru Dai +14

Generative world models (WMs) can now simulate worlds with striking visual realism, which naturally raises the question of whether they can endow embodied agents with predictive pe…

cs.CL2025★ 8 cited

The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding

Mo Yu, Lemao Liu, Junjie Wu +5

In a systematic way, we investigate a widely asked question: Do LLMs really understand what they say?, which relates to the more familiar term Stochastic Parrot. To this end, we pr…

cs.AI2025

AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling

Zhining Zhang, Chuanyang Jin, Mung Yao Jia +2

Theory of Mind (ToM), the ability to understand people's minds based on their behavior, is key to developing socially intelligent agents. Current approaches to ToM reasoning either…

cs.CL2025

The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters

Chulun Zhou, Qiujing Wang, Mo Yu +7

Theory-of-Mind (ToM) is a fundamental psychological capability that allows humans to understand and interpret the mental states of others. Humans infer others' thoughts by integrat…

cs.CV2024

Dynamic Relation Transformer for Contextual Text Block Detection

Jiawei Wang, Shunchi Zhang, Kai Hu +4

Contextual Text Block Detection (CTBD) is the task of identifying coherent text blocks within the complexity of natural scenes. Previous methodologies have treated CTBD as either a…

cs.CL2022★ 4 cited

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

Mo Yu, Qiujing Wang, Shunchi Zhang +8

When reading a story, humans can quickly understand new fictional characters with a few observations, mainly by drawing analogies to fictional and real people they already know. Th…