1 citations · 2 across the 7 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.AI2025
DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning
Tianrun Xu, Haoda Jing, Ye Li +6
Recent advances in multimodal language models (MLLMs) have made thinking with images a dominant paradigm for multimodal reasoning. However, existing methods still fail to ensure ev…
cs.LG2025
Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them
Guanyu Chen, Peiyang Wang, Yizhou Jiang +5
Large language models (LLMs) have been able to perform various forms of reasoning tasks in a wide range of scenarios, but are they truly engaging in task abstraction and rule-based…
cs.LG2025
When Do Neural Networks Learn World Models?
Tianren Zhang, Guanyu Chen, Feng Chen
Humans develop world models that capture the underlying generation process of data. Whether neural networks can learn similar world models remains an open problem. In this work, we…